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Artykuły w czasopismach na temat „Time of Use (ToU) tariff”

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Data publikacji: 23 sierpnia 2023

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1

Sundt, Swantje, Katrin Rehdanz, and Jürgen Meyerhoff. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand." Energies 13, no. 8 (2020): 1895. http://dx.doi.org/10.3390/en13081895.

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Time-of-use (TOU) electricity tariffs represent an instrument for demand side management. By reducing energy demand during peak times, less investments in otherwise necessary, costly, and CO2 intensive redispatch would be required. We use a choice experiment (CE) to analyze private consumers’ acceptance of TOU tariffs in Germany. In our CE, respondents choose between a fixed rate tariff and two TOU tariffs that differ by peak time scheme and by a control of appliances’ electricity consumption during that time. We use a mixed logit model to account for taste heterogeneity. Moreover, investigati

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Sundt, Swantje. "Influence of Attitudes on Willingness to Choose Time-of-Use Electricity Tariffs in Germany. Evidence from Factor Analysis." Energies 14, no. 17 (2021): 5406. http://dx.doi.org/10.3390/en14175406.

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Time-of-use (TOU) electricity tariffs are a demand side measure to ease balancing of demand and supply to cope with a rising share of renewables in a country’s electricity mix. In general, consumers require compensation for accepting these tariffs. This study analyzes how attitudes drive consumers’ willingness to choose a TOU tariff in Germany. To identify attitudinal profiles, I use an exploratory factor analysis on items capturing positive and negative attitudes towards TOU tariffs, climate change awareness, and belief in energy saving measures. I use these factors as predictors in an ordere

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Azrina Mohd Azman, Nur, Md Pauzi Abdullah, Mohammad Yusri hasan, Dalila Mat Said, and Faridah Hussin. "Enhanced Time of Use Electricity Pricing for Industrial Customers in Malaysia." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 1 (2017): 155. http://dx.doi.org/10.11591/ijeecs.v6.i1.pp155-159.

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<p>New Time of Use (ToU) tariff scheme known as Enhanced ToU (EToU) has been introduced on 1st January 2016 for industrial customers in Malaysia. EToU scheme is the advanced version of current ToU where the daily time frame is divided into six period blocks, as compared to only two in the existing ToU. Mid-peak tariff is introduced on top of peak-hour and off-peak tariff. The new scheme is designed to reduce Malaysia’s peak hour electricity demand. On customer side, they could be benefited from the low off-peak tariff by simply shifting their consumption. However, it depends on their con

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Phan, Binh Thi Thanh, Qui Minh Le, and Cuong Viet Vo. "Optimizing the time of use tariff with different scenarios of load management." Science and Technology Development Journal 20, K7 (2018): 15–20. http://dx.doi.org/10.32508/stdj.v20ik7.1206.

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Demand Response program is applied in many countries as an effective instrument to regulate the electricity consumption. In this program, time of use (TOU) tariff is used widely. Optimal TOU pricing according to different objectives was mentioned in this paper such as peak load reduction, improving load curve, energy conservation, avoiding a new peak load. This is a problem with multiobjective functions in different unit of measurement and is solved by PSO algorithm. An example to find optimal TOU tariff for one utility is also presented in this paper.

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Xue, Wanlei, Xin Zhao, Yan Li, et al. "Research on the Optimal Design of Seasonal Time-of-Use Tariff Based on the Price Elasticity of Electricity Demand." Energies 16, no. 4 (2023): 1625. http://dx.doi.org/10.3390/en16041625.

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Building a new power system with renewable energy as its main component is a key measure proposed by China to address the climate change problem. Strengthening demand-side management (DSM) is an important way to promote the development of a new power system. As an important economic incentive measure in DSM, the current TOU tariff is faced with the problem of a weak incentive effect due to the small tariff difference between the peak and valley periods. Against this background, a novel hybrid three-stage seasonal TOU tariff optimization model is proposed in this paper. First, the K-means++ alg

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Chen, Lu, Yong Biao Yang, and Li Huang. "Design of Time-of-Use Model for Promoting Wind Power’s Penetration." Advanced Materials Research 953-954 (June 2014): 575–81. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.575.

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Considering wind power output characteristics, TOU model with frequency is proposed, in the form of “normal tariff plus frequency tariff”. Response mode and capacity is analyzed on the basis of consumer psychology. The numerical examples shows its effectiveness, that wind power output can be complemented by demand through tariff incentives, avoid abandoning the wind and reducing peak power difference.

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Jang, Minseok, Hyun-Cheol Jeong, Taegon Kim, and Sung-Kwan Joo. "Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs." Energies 14, no. 19 (2021): 6130. http://dx.doi.org/10.3390/en14196130.

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Smart meters and dynamic pricing are key factors in implementing a smart grid. Dynamic pricing is one of the demand-side management methods that can shift demand from on-peak to off-peak. Furthermore, dynamic pricing can help utilities reduce the investment cost of a power system by charging different prices at different times according to system load profile. On the other hand, a dynamic pricing strategy that can satisfy residential customers is required from the customer’s perspective. Residential load profiles can be used to comprehend residential customers’ preferences for electricity tari

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Sulaima, Mohamad Fani, Nurliyana Binti Baharin, Aida Fazliana Abdul Kadir, Norhafiz Bin Salim Obtained, and Elia Erwani Hassan. "Investigation of electricity load shifting under various tariff design using ant colony optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 1. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp1-11.

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<span>A price-based program through a time of use tariff (TOU) program is one of the initiatives to offer sufficient benefit for both consumers and generations sides. However, without any strategy for implementing optimal load management, a new tariff design structure will lead to the miss perception by electricity consumers. Therefore, this study offers an investigation toward appropriate TOU tariff design to reflect load profiles. Concurrently, the ant colony optimization (ACO) algorithm was proposed to deal with the load shifting strategy to determine the best load profiles and reduci

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Nazar, J., J. J. Jamian, M. A. Baharudin, and S. N. Syed Nasir. "New Dynamic Time-of-Use Tariff For Islanded Microgrid System With High Penetration of Renewable Energy." Journal of Physics: Conference Series 2523, no. 1 (2023): 012027. http://dx.doi.org/10.1088/1742-6596/2523/1/012027.

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Abstract This paper proposes a dynamic time-of-use (d-TOU) tariff scheme for microgrid (MG) systems in islanded mode. The main problem for the islanded MG is the high cost of electricity, and the output from renewable energy is uncontrollable compared to the traditional grid. Therefore, this paper focuses on developing a suitable tariff scheme that provides reliability and financial benefits for both utility and customer. The time zone energy prices based on the Levelized Cost of Energy (LCOE) are introduced for islanded MG. The results show a contradiction between islanded MG with the standar

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Lee, Jinyeong, Jaehee Lee, and Young-Min Wi. "Impact of Revised Time of Use Tariff on Variable Renewable Energy Curtailment on Jeju Island." Electronics 10, no. 2 (2021): 135. http://dx.doi.org/10.3390/electronics10020135.

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Jeju Island announced the “Carbon Free Island (CFI) Plan by 2030” in 2012. This plan aims to replace conventional generators with distributed energy resources (DERs) up to a level of 70% by 2030. Akin to Jeju Island, as DERs have been expanded in islanded power systems, variable renewable energy (VRE) has become a significant component of DERs. However, VRE curtailment can occur to meet power balance, and VRE curtailment generally causes energy waste and low efficiency, so it should be minimized. This paper first presents a systematic procedure for estimating the annual VRE curtailment for the

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Lee, Jinyeong, Jaehee Lee, and Young-Min Wi. "Impact of Revised Time of Use Tariff on Variable Renewable Energy Curtailment on Jeju Island." Electronics 10, no. 2 (2021): 135. http://dx.doi.org/10.3390/electronics10020135.

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Jeju Island announced the “Carbon Free Island (CFI) Plan by 2030” in 2012. This plan aims to replace conventional generators with distributed energy resources (DERs) up to a level of 70% by 2030. Akin to Jeju Island, as DERs have been expanded in islanded power systems, variable renewable energy (VRE) has become a significant component of DERs. However, VRE curtailment can occur to meet power balance, and VRE curtailment generally causes energy waste and low efficiency, so it should be minimized. This paper first presents a systematic procedure for estimating the annual VRE curtailment for the

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12

Esa, Nur Farahin Asa @., Md Pauzi Abdullah, Mohammad Yusri Hassan, and Faridah Hussin. "Disaggregated Electricity Bill Base on Utilization factor and Time-of-use (ToU) Tariff." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 3 (2017): 1498. http://dx.doi.org/10.11591/ijece.v7i3.pp1498-1505.

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Time of Use tariff is introduced to motivate users to change their electricity usage pattern. Commonly the tariff is high during peak hours and relatively low during off peak hours, to encourage users to reduce consumption during peak hours or shift it to off-peak hours. This tariff scheme provides opportunities for building owners to reduce their electricity bill provided that their electricity usage patterns of various spaces in that building at every hour are known. In practice, the kWh meter installed by the utility can only provide the overall hourly electricity consumption pattern. To kn

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13

Chen, Wen, Chun Lin Guo, Zong Feng Li, et al. "Research of Time-of-Use Tariff Considering Electric Vehicles Charging Demands." Advanced Materials Research 953-954 (June 2014): 1354–58. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1354.

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With the large-scale EV(electric vehicle) integrating into the power system, new challenges has been brought to the planning as well as the security of the network. There will be a great impact on the system if the system operator ignores the vast quantity of EV charging at the same. Thus, taking measures, e.g. the multiple tariff, is of vital importance to give the guidance to the EV owners to charging wisely to save the daily cost on charging, as well as reduce the gap between peak load and valley load. A model for TOU has been presented in this paper. In the model , an objective function is

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14

Ludwig, Patrick, and Christian Winzer. "Tariff Menus to Avoid Rebound Peaks: Results from a Discrete Choice Experiment with Swiss Customers." Energies 15, no. 17 (2022): 6354. http://dx.doi.org/10.3390/en15176354.

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While automation helps to increase load-shifting, the combination of automation with time-of-use (TOU) or critical-peak prices (CPP) may lead to rebound peaks at the beginning of low-tariff periods which may exceed the original peak. Using a discrete choice experiment with a representative sample of 696 Swiss consumers, we find that a tariff menu including (i) a flat price with direct load control (DLC) and (ii) a time-of-use tariff without direct load control could avoid this problem. The majority (57%) of mostly younger customers, which could be interested in automation would likely sign up

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Kwon, Yeongenn, Taeyoung Kim, Keon Baek, and Jinho Kim. "Multi-Objective Optimization of Home Appliances and Electric Vehicle Considering Customer’s Benefits and Offsite Shared Photovoltaic Curtailment." Energies 13, no. 11 (2020): 2852. http://dx.doi.org/10.3390/en13112852.

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A Time-of-Use (TOU)-tariff scheme, helps residential customers to adjust their energy consumption voluntarily and reduce energy cost. The TOU tariff provides flexibility in demand, alleviate volatility caused by an increase in renewable energy in the power system. However, the uncertainty in the customer’s behavior, causes difficulty in predicting changes in residential demand patterns through the TOU tariff. In this study, the dissatisfaction model for each time slot is set as the energy consumption data of the customer. Based on the actual customer’s consumption pattern, the user sets up a m

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Andruszkiewicz, Jerzy, Józef Lorenc, and Agnieszka Weychan. "Price-Based Demand Side Response Programs and Their Effectiveness on the Example of TOU Electricity Tariff for Residential Consumers." Energies 14, no. 2 (2021): 287. http://dx.doi.org/10.3390/en14020287.

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Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it is desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose of the study is developing a method for analysing electricity tariff’s effectiveness in terms of demand side response purposes based on statistical data concerning tariffs’ use by the consumers and price elasticity of their electricity demand. A case-study analysis is presented for residential electricity consumers, shifting the settlement and consequently the profile of ele

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Andruszkiewicz, Jerzy, Józef Lorenc, and Agnieszka Weychan. "Price-Based Demand Side Response Programs and Their Effectiveness on the Example of TOU Electricity Tariff for Residential Consumers." Energies 14, no. 2 (2021): 287. http://dx.doi.org/10.3390/en14020287.

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Demand side response is becoming an increasingly significant issue for reliable power systems’ operation. Therefore, it is desirable to ensure high effectiveness of such programs, including electricity tariffs. The purpose of the study is developing a method for analysing electricity tariff’s effectiveness in terms of demand side response purposes based on statistical data concerning tariffs’ use by the consumers and price elasticity of their electricity demand. A case-study analysis is presented for residential electricity consumers, shifting the settlement and consequently the profile of ele

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18

Phan, Binh Thi Thanh, and Thao Thi Thu Huynh. "Demand response model for TOU (Time of Use) analysis." Science and Technology Development Journal 19, no. 4 (2016): 5–13. http://dx.doi.org/10.32508/stdj.v19i4.778.

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The demand response program is focused on changing the electrical consumption as the response to the time of use tariff changing. This program is considered by utilities currently. To estimate the effectiveness of TOU changing, the works try to find the analytical models expressing the changing of electrical consumption and electrical prices. All models are based on the assumption about the optimal response. This paper proposed three ways to find the models. The first way is based on the cost-share function knowing that the response is optimal. The second way is an approximately estimation of

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19

Choi, Bong-Gi, and Sung-Yul Kim. "Evaluation of Power System Impact by V2G Operation Using Time-of-Use Tariff." Transactions of The Korean Institute of Electrical Engineers 69, no. 6 (2020): 855–60. http://dx.doi.org/10.5370/kiee.2020.69.6.855.

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Punmiya, Rajiv, and Sangho Choe. "ToU Pricing-Based Dynamic Electricity Theft Detection in Smart Grid Using Gradient Boosting Classifier." Applied Sciences 11, no. 1 (2021): 401. http://dx.doi.org/10.3390/app11010401.

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In the near future, it is highly expected that smart grid (SG) utilities will replace existing fixed pricing with dynamic pricing, such as time-of-use real-time tariff (ToU). In ToU, the price of electricity varies throughout the whole day based on the respective utilities’ decisions. We classify the whole day into two periods with very high and low probabilities of theft activities, termed as the “theft window” and “non-theft window”, respectively. A “smart” malicious consumer can adjust his/her theft to mostly targeting the theft window, manipulate actual usage reporting to outsmart existing

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Andruszkiewicz, Jerzy, Józef Lorenc, and Agnieszka Weychan. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles." Energies 12, no. 22 (2019): 4317. http://dx.doi.org/10.3390/en12224317.

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The concept of price elasticity of demand has been widely used for the assessment of the consumers’ behavior in the electricity market. As the residential consumers represent a significant percentage of the total load, price elasticity of their demand may be used to design desirable demand side response programs in order to manage peak load in a power system. The method presented in this study proposes an alternative approach towards price elasticity determination for zonal tariff users, based on comparisons of load profiles of consumers settled according to flat and time-of-use electricity ta

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Jeong, Hyun Cheol, Jaesung Jung, and Byung O. Kang. "Development of Operational Strategies of Energy Storage System Using Classification of Customer Load Profiles under Time-of-Use Tariffs in South Korea." Energies 13, no. 7 (2020): 1723. http://dx.doi.org/10.3390/en13071723.

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This study proposes a methodology to develop adaptive operational strategies of customer-installed Energy Storage Systems (ESS) based on the classification of customer load profiles. In addition, this study proposes a methodology to characterize and classify customer load profiles based on newly proposed Time-of-Use (TOU) indices. The TOU indices effectively distribute daily customer load profiles on multi-dimensional domains, indicating customer energy consumption patterns under the TOU tariff. The K-means and Self-Organizing Map (SOM) sophisticated clustering methods were applied for classif

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Chen, Lixing, and Hong Zhang. "Orderly Discharging Strategy for Electric Vehicles at Workplace Based on Time-of-Use Price." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7025879.

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According to the parking features of electric vehicles (EVs) and load of production unit, a power supply system including EVs charging station was established, and an orderly discharging strategy for EVs was proposed as well to reduce the basic tariff of producer and improve the total benefits of EV discharging. Based on the target of maximizing the annual income of producer, considering the total benefits of EV discharging, the electric vehicle aggregator (EVA) and time-of-use (TOU) price were introduced to establish the optimization scheduling model of EVs discharging. Furthermore, an improv

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Sulaima, Mohamad Fani, Musthafah Mohd Tahir, Mohamad Firdaus Shukri, et al. "Optimal load management strategy under off-peak tariff riders in UTeM: a case study." Bulletin of Electrical Engineering and Informatics 11, no. 2 (2022): 646–57. http://dx.doi.org/10.11591/eei.v11i2.3556.

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Demand response (DR) program through tariff initiative has been established in Malaysia since 1990. The available time of use (TOU) tariff focuses on providing price signals to consumers, especially from industrial and commercial sectors. In achieving a certain standard for off-peak tariff rider (OPTR) initiative to receive discount rate, consumers must improve load factors compared to the baseline declared. However, not all consumers are able to commit. In Universiti Teknikal Malaysia Melaka (UTeM), the TOU (C1-OPTR) tariff is proposed and applied when the available cost discount of 20% can b

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Li, Wensheng, Donglei Sun, Yajin Li, Xian Wang, Rui Liu, and Dayang Yu. "Research on Capacity Configuration and Optimal Operation of Microgrid Energy Storage under Demand Management." E3S Web of Conferences 329 (2021): 01015. http://dx.doi.org/10.1051/e3sconf/202132901015.

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In order to reduce the energy consumption cost, considering the influence of the correlation of photovoltaic output, load demand and peak valley TOU price in different periods on the optical storage capacity configuration, the system operation strategy and capacity configuration principle are determined based on the peak valley TOU price and energy storage charge state information and the actual size of photovoltaic output and load.Integrated with the historical load, time of use electricity price, state of charge, charge discharge power and other constraints of the energy storage system, the

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Usman, Muhammad, Wajahat Ullah Khan Tareen, Adil Amin, et al. "A Coordinated Charging Scheduling of Electric Vehicles Considering Optimal Charging Time for Network Power Loss Minimization." Energies 14, no. 17 (2021): 5336. http://dx.doi.org/10.3390/en14175336.

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Electric vehicles’ (EVs) technology is currently emerging as an alternative of traditional Internal Combustion Engine (ICE) vehicles. EVs have been treated as an efficient way for decreasing the production of harmful greenhouse gasses and saving the depleting natural oil reserve. The modern power system tends to be more sustainable with the support of electric vehicles (EVs). However, there have been serious concerns about the network’s safe and reliable operation due to the increasing penetration of EVs into the electric grid. Random or uncoordinated charging activities cause performance degr

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Pasetti, Marco, Stefano Rinaldi, Alessandra Flammini, Michela Longo, and Federica Foiadelli. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs." Energies 12, no. 3 (2019): 499. http://dx.doi.org/10.3390/en12030499.

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In this paper a general model for the estimation of the uncoordinated charging costs of Electric Vehicles (EVs) in the presence of distributed and intermittent generation, and variable electricity tariffs is presented. The proposed method aims at estimating the monthly average cost of uncoordinated charging of a single EV depending on the hour at which the EV is plugged into the EV Supply Equipment (EVSE). The feasibility and relevance of the proposed model is verified by applying the considered cost estimation method to a suitable use case. A single EV charging service offered at a public bui

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Zhao, Ziyi. "Operation Simulation and Economic Analysis of Household Hybrid PV and BESS Systems in the Improved TOU Mode." Sustainability 15, no. 11 (2023): 8853. http://dx.doi.org/10.3390/su15118853.

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With the popularization of electric vehicles and electric boilers, household electricity consumption will increase significantly. Household hybrid photovoltaic (PV) systems and battery energy storage systems (BESSs) can supply increasing household electricity consumption without expanding the existing distribution network. This paper validates the technical feasibility of connecting a large number of household power users that contain BESSs and PVs in a distribution line by a simulation in Matlab. In addition to technical feasibility, this article improves the time-of-use (TOU) form to achieve

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Zeng, Zhiqiang, Xiaobin Chen, and Kaiyao Wang. "Energy Saving for Tissue Paper Mills by Energy-Efficiency Scheduling under Time-of-Use Electricity Tariffs." Processes 9, no. 2 (2021): 274. http://dx.doi.org/10.3390/pr9020274.

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Environmental concerns and soaring energy prices have brought huge pressure of energy saving and emission reduction to tissue paper mills. Electricity is one of the main energy sources of tissue paper mills. The production characteristics of tissue paper mills make it easy to decrease energy cost by using time-of-use (TOU) electricity tariffs. This study investigates the bi-objective energy-efficiency scheduling of tissue paper mills under time-of-use electricity tariffs, the objectives of which are makespan and energy cost. First, considering the processing energy cost, setup energy cost, and

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Jaruwatanachai, Pramote, Yod Sukamongkol, and Taweesak Samanchuen. "Predicting and Managing EV Charging Demand on Electrical Grids: A Simulation-Based Approach." Energies 16, no. 8 (2023): 3562. http://dx.doi.org/10.3390/en16083562.

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Electric vehicles (EVs) are becoming increasingly popular, and it is important for utilities to understand their charging characteristics to accurately estimate the demand on the electrical grid. In this work, we developed simulation models for different EV charging scenarios in the home sector. We used them to predict maximum demand based on the increasing penetration of EV consumers. We comprehensively reviewed the literature on EV charging technologies, battery capacity, charging situations, and the impact of EV loads. Our results suggest a method for visualizing the impact of EV charging l

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Ren, Rui Huan, Rong Hu, and Liu Bin. "Optimal Sizing of Battery Energy Storage System in Distribution Network." Advanced Materials Research 860-863 (December 2013): 572–76. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.572.

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Economical value including reducing investment in generation side as well as transmission and distribution (T&D) side of the building capacity and decreasing the power expenses for important users brought by BESS are studied.Economic benefits obtained by BESS through decreasing loss of power grid and making use of time of use (TOU) price to reduce electricity tariff are analysed.Considering the primarily capital cost and operation and maintenance (O&M) cost,the capacity optimal allocation model for different types of BESS is developed under optimal conomy condition and genetic algorith

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Sulaima, M. F., N. Y. Dahlan, Z. H. Bohari, M. N. M. Nasir Nasir, R. F. Mustafa, and Duc Luong Nguyen. "Simultaneous Load Management Strategy for Electronic Manufacturing Facilities by using EPSO Algorithm." Journal of Mechanical Engineering 18, no. 3 (2021): 193–214. http://dx.doi.org/10.24191/jmeche.v18i3.15426.

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Increased power demand has contributed to the power generation tension. Thus, there were critical needs for a better Price Based Program (PBP) policy for the consumers. In Peninsular Malaysia, through the development of a policy for the regulated market plan, the Enhanced Time of Use (ETOU) tariff was introduced by the utility to promote better price signals to the industrial consumers who contribute to the most massive energy consumption every year. However, fewer industrial consumers join the program due to a lack of Load Management (LM) knowledge while not confident in the price rate signal

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Xie, Kan, Weifeng Zhong, Weijun Li, and Yinhao Zhu. "Distributed Capacity Allocation of Shared Energy Storage Using Online Convex Optimization." Energies 12, no. 9 (2019): 1642. http://dx.doi.org/10.3390/en12091642.

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This paper studies capacity allocation of an energy storage (ES) device which is shared by multiple homes in smart grid. Given a time-of-use (TOU) tariff, homes use the ES to shift loads from peak periods to off-peak periods, reducing electricity bills. In the proposed ES sharing model, the ES capacity has to be allocated to homes before the homes’ load data is completely known. To this end, an online ES capacity allocation algorithm is developed based on the online convex optimization framework. Under the online algorithm, the complex allocation problem can be solved round by round: at each r

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Gheouany, Saad, Hamid Ouadi, and Saida El Bakali. "Hybrid-integer algorithm for a multi-objective optimal home energy management system." Clean Energy 7, no. 2 (2023): 375–88. http://dx.doi.org/10.1093/ce/zkac082.

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Abstract Most of the energy produced in the world is consumed by commercial and residential buildings. With the growth in the global economy and world demographics, this energy demand has become increasingly important. This has led to higher unit electricity prices, frequent stresses on the main electricity grid and carbon emissions due to inefficient energy management. This paper presents an energy-consumption management system based on time-shifting of loads according to the dynamic day-ahead electricity pricing. This simultaneously reduces the electricity bill and the peaks, while maintaini

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Sulaima, Mohamad Fani, Nofri Yenita Dahlan, Intan Azmira Abd. Razak, Zul Hasrizal Bohari, Amira Noor Farhanie Ali, and Muhd Muhtazam Noor Din. "DETERMINATION OF THE OPTIMUM LOAD PROFILE UNDER ENHANCED OF USE TARIFF (ETOU) SCHEME USING COMBINATION OF OPTIMIZATION ALGORITHMS AND SELF ORGANIZING MAPPING." ASEAN Engineering Journal 12, no. 4 (2022): 65–73. http://dx.doi.org/10.11113/aej.v12.17324.

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Demand side management (DSM) has been conventionally adopted in many ways to efficiently managing the appropriate electricity loads. However, with the sophisticated design of the Time of Use (TOU) tariff to reflect electricity cost reduction, implementing proper Load Management (LM) strategies is challenging. To date, consumers still struggle to define a figure for the LM percentage to be involved in the demand response program. Due to that reason, this study proposes a method to find the best load profile reflecting the new tariff offered by using a combination of optimization algorithms such

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Sediqi, Mohammad Masih, Akito Nakadomari, Alexey Mikhaylov, et al. "Impact of Time-of-Use Demand Response Program on Optimal Operation of Afghanistan Real Power System." Energies 15, no. 1 (2022): 296. http://dx.doi.org/10.3390/en15010296.

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Like most developing countries, Afghanistan still employs the traditional philosophy of supplying all its load demands whenever they happen. However, to have a reliable and cost-effective system, the new approach proposes to keep the variations of demand at the lowest possible level. The power system infrastructure requires massive capital investment; demand response (DR) is one of the economic options for running the system according to the new scheme. DR has become the intention of many researchers in developed countries. However, very limited works have investigated the employment of approp

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Suyono, Hadi, Mir Toufikur Rahman, Hazlie Mokhlis, Mohamadariff Othman, Hazlee Azil Illias, and Hasmaini Mohamad. "Optimal Scheduling of Plug-in Electric Vehicle Charging Including Time-of-Use Tariff to Minimize Cost and System Stress." Energies 12, no. 8 (2019): 1500. http://dx.doi.org/10.3390/en12081500.

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Technological advancement, environmental concerns, and social factors have made plug-in electric vehicles (PEVs) popular and attractive vehicles. Such a trend has caused major impacts to electrical distribution systems in terms of efficiency, stability, and reliability. Moreover, excessive power loss, severe voltage deviation, transformer overload, and system blackouts will happen if PEV charging activities are not coordinated well. This paper presents an optimal charging coordination method for a random arrival of PEVs in a residential distribution network with minimum power loss and voltage

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Galatsopoulos, Charalampos, Simira Papadopoulou, Chrysovalantou Ziogou, Dimitris Trigkas, and Spyros Voutetakis. "Optimal Operation of a Residential Battery Energy Storage System in a Time-of-Use Pricing Environment." Applied Sciences 10, no. 17 (2020): 5997. http://dx.doi.org/10.3390/app10175997.

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Premature ageing of lithium-ion battery energy storage systems (BESS) is a common problem in applications with or without renewable energy sources (RES) in the household sector. It can result to significant issues for such systems such as inability of the system to cover load demand for a long period of time. Consequently, the necessity of limiting the degradation effects at a BESS leads to the development and application of energy management strategies (EMS). In this work, EMSs are proposed in order to define optimal operation of a BESS without RES under time-of-use (ToU) tariff conditions. T

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López García, Dahiana, José David Beltrán Gallego, and Sandra Ximena Carvajal Quintero. "Proposing Dynamic Pricing as an Alternative to Improve Technical and Economic Conditions in Rural Electrification: A Case Study from Colombia." Sustainability 15, no. 10 (2023): 7985. http://dx.doi.org/10.3390/su15107985.

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Electricity access in rural areas is a critical challenge for global electrification. Most countries have focused on increasing electricity coverage without assessing the long-term sustainability of such solutions. To achieve sustainability in rural electrification solutions, it is necessary to consider five dimensions: technical, environmental, economic, social, and institutional. This paper reviews the state of rural electrification worldwide and proposes a dynamic tariff scheme that increases the technical and economic conditions of implemented solutions over an extended period. The propose

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Geng, Kaifeng, Chunming Ye, Zhen hua Dai, and Li Liu. "Bi-Objective Re-Entrant Hybrid Flow Shop Scheduling considering Energy Consumption Cost under Time-of-Use Electricity Tariffs." Complexity 2020 (February 22, 2020): 1–17. http://dx.doi.org/10.1155/2020/8565921.

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Re-entrant hybrid flow shop scheduling problem (RHFSP) is widely used in industries. However, little attention is paid to energy consumption cost with the raise of green manufacturing concept. This paper proposes an improved multiobjective ant lion optimization (IMOALO) algorithm to solve the RHFSP with the objectives of minimizing the makespan and energy consumption cost under Time-of-Use (TOU) electricity tariffs. A right-shift operation is then used to adjust the starting time of operations by avoiding the period of high electricity price to reduce the energy consumption cost as far as poss

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Shaw, William George, Marc Mathews, and Johan Marais. "Holistic analysis of the effect on electricity cost in South Africa’s platinum mines when varying shift schedules according to time-of-use tariffs." Journal of Energy in Southern Africa 30, no. 4 (2019): 26–40. http://dx.doi.org/10.17159/2413-3051/2019/v30i4a5675.

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In the past the cost of electricity was not a significant concern and was not common practice for mining companies to consider peak time-of-use (TOU) tariffs for their shift schedules. It has become more prevalent, as TOU tariffs continue increasing, to consider energy saving important. A study was carried out to analyse the mining operation of a South African deep-level platinum mine in respect of integrated load management, shift changes and TOU schedules. This was achieved by thoroughly analysing energy consumers, mine operational schedules and their interconnectedness. A specific mining sy

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Maiorino, Angelo, Adrián Mota-Babiloni, Manuel Gesù Del Duca, and Ciro Aprea. "Scheduling Optimization of a Cabinet Refrigerator Incorporating a Phase Change Material to Reduce Its Indirect Environmental Impact." Energies 14, no. 8 (2021): 2154. http://dx.doi.org/10.3390/en14082154.

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Phase Change Materials (PCMs) incorporated in refrigerators can be used to shift their energy consumption from peak periods, when the electric network energy demand is the highest, to off-peak periods. While PCMs can flatten the energy demand curve, they can achieve economic savings if Time-of-Use (TOU) electricity tariffs are applied. However, the hourly carbon emission factor is not commonly linked to the hourly tariff, and the final CO2 emitted due to the operations of the refrigerator would not be fully optimized. In this work, a method based on the Simulated Annealing optimization techniq

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Chu, Xiaolin, Yuntian Ge, Xue Zhou, Lin Li, and Dong Yang. "Modeling and Analysis of Electric Vehicle-Power Grid-Manufacturing Facility (EPM) Energy Sharing System under Time-of-Use Electricity Tariff." Sustainability 12, no. 12 (2020): 4836. http://dx.doi.org/10.3390/su12124836.

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Electric vehicles (EVs) have obtained increasing public interest due to the associated economic and environmental benefits. Recently, studies regarding the economic advantages of adopting EVs as energy storages for commercial/residential buildings are emerging. In fact, according to the U.S. Energy Information Administration, the industrial sector consumes more energy than all of the other sectors combined, which is about 54% of the world’s total delivered energy. The energy consumption pattern in manufacturing facilities is based on production schedules and the heat transfer between machines

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Prapanukool, Chawin, and Surachai Chaitusaney. "Designing Solar Power Purchase Agreement of Rooftop PVs with Battery Energy Storage Systems under the Behind-the-Meter Scheme." Energies 13, no. 17 (2020): 4438. http://dx.doi.org/10.3390/en13174438.

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With a significant growth of rooftop photovoltaic systems (PVs) with battery energy storage systems (BESS) under the behind-the-meter scheme (BTMS), the solar power purchase agreement (SPPA) has been developed into one of the most attractive models. The SPPA is a scheme where the investors propose to directly sell electricity from rooftop PVs to the customers. The proposed rates are typically performed in terms of the discount rates on the time-of-use (TOU) tariff with demand charges. The operation modes of the BESS should also be designed in accordance with the proposed rates. Therefore, this

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Pei, Rui, Jihua Xie, Hanlin Zhang, Kaiyu Sun, Zhi Wu, and Suyang Zhou. "Robust Multi-Layer Energy Management and Control Methodologies for Reefer Container Park in Port Terminal." Energies 14, no. 15 (2021): 4456. http://dx.doi.org/10.3390/en14154456.

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The full electrification of ports is a promising prospect for saving energy and reducing greenhouse gas emissions. The control scheme of the reefer container is particularly important for the energy management of the port, as the operation of the reefer container is one of the main energy consumers of ports. This paper proposes a reefer container hierarchical control scheme that contains a day-ahead module and intra-day module which is used to generate a rough scheduling strategy based on forecast data and fine-tuning the strategy, respectively. The final strategy should realize the economical

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Bouzid, Mariam, Oussama Masmoudi, and Alice Yalaoui. "Exact Methods and Heuristics for Order Acceptance Scheduling Problem under Time-of-Use Costs and Carbon Emissions." Applied Sciences 11, no. 19 (2021): 8919. http://dx.doi.org/10.3390/app11198919.

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This research focuses on an Order Acceptance Scheduling (OAS) problem on a single machine under time-of-use (TOU) tariffs and taxed carbon emissions periods with the objective to maximize total profit minus tardiness penalties and environmental costs. Due to the NP-hardness of the considered problem especially in presence of sequence-dependent setup-times, two fix-and-relax (FR) heuristics based on different time-indexed (TI) formulations are proposed. A metaheuristic based on the Dynamic Island Model (DIM) framework is also employed to tackle this optimization problem. These approached method

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Ma, Yiwei, Yuyang Chen, Xin Chen, Fuchun Deng, and Xiantong Song. "Optimal dispatch of hybrid energy islanded microgrid considering V2G under TOU tariffs." E3S Web of Conferences 107 (2019): 02007. http://dx.doi.org/10.1051/e3sconf/201910702007.

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In order to achieve a prospective economic effect of renewable energy generations and vehicle to grid (V2G), this paper proposes an optimal dispatch method of wind-PV-battery microgrid considering V2G under time-of-use (TOU) tariffs for those isolated communities in remote islands and mountainous areas. A cooperative dispatch strategy and an optimal dispatch model are both presented for the total operation cost minimization and higher utilization of renewable energy generation. Finally, the simulation results show that the proposed method is effective and feasible.

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Guru, Neelakantha, Samarjit Patnaik, Manas Ranjan Nayak, and Meera Viswavandya. "Wind generator and storage system scheduling for customer benefit and battery life." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2586–94. http://dx.doi.org/10.11591/eei.v12i5.4661.

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Due to increased fossil fuel use and fossil fuel limitations, the Indian energy industry is migrating to non-conventional energy resources such as solar power, wind production, and fuel cells, among others. The unpredictability of non-conventional energy sources makes it difficult to balance an electrical system when they are incorporated, necessitating the incorporation of a storage device into the grid. In a microgrid system with wind turbine generation (WTG) and a battery energy storage system (BESS), the BESS may reserve energy during periods of surplus generation and release it to the gri

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Amin, Adil, Wajahat Ullah Khan Tareen, Muhammad Usman, et al. "A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network." Sustainability 12, no. 23 (2020): 10160. http://dx.doi.org/10.3390/su122310160.

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This study summarizes a critical review on EVs’ optimal charging and scheduling under dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time Pricing (RTP), Time of Use (ToU), Critical Peak Pricing (CPP), and Peak Time Rebates (PTR), is presented. Globally, the intention is to reduce the carbon emissions (CO2) has motivated the extensive practice of Electric Vehicles (EVs). The uncoordinated charging and uncontrolled integration however of EVs to the distribution network deteriorates the system performance in terms of power quality issues. Therefore, the EVs’ chargin

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Chen, Shih-Hsin, Yeong-Cheng Liou, Yi-Hui Chen, and Kun-Ching Wang. "Order Acceptance and Scheduling Problem with Carbon Emission Reduction and Electricity Tariffs on a Single Machine." Sustainability 11, no. 19 (2019): 5432. http://dx.doi.org/10.3390/su11195432.

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Order acceptance and scheduling (OAS) problems are realistic for enterprises. They have to select the appropriate orders according to their capacity limitations and profit consideration, and then complete these orders by their due dates or no later than their deadlines. OAS problems have attracted significant attention in supply chain management. However, there is an issue that has not been studied well. To our best knowledge, no prior research examines the carbon emission cost and the time-of-use electricity cost in the OAS problems. The carbon emission during the on-peak hours is lower than

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