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1

Overturf, Michael C., and Brian Flynn. "Energy Sufficiency Arbitrage." Distributed Generation & Alternative Energy Journal 27, no. 4 (2012): 53–73. http://dx.doi.org/10.1080/21563306.2012.10554222.

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2

Kepulaje, Abhaya Kumar, Prakash Pinto, Iqbal Thonse Hawaldar, et al. "Arbitrage opportunities in the energy equity futures - A study from Indian perspective." Multidisciplinary Science Journal 7, no. 1 (2023): 2025067. http://dx.doi.org/10.31893/multiscience.2025067.

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This study aimed to examine the opportunity for arbitrage in Indian energy equity futures. Contract-wise historical spot and futures data were gathered for ten selected energy companies. The cost of carry model was used to compute the theoretical values of the futures. To generalize the results, the T-test was applied, and the run test was used to assess the randomness of the arbitrages during the contract period. The T-test results revealed that, after factoring in brokerage and taxes, most of the selected companies' arbitrage values were not equal to zero. The results of the test indicated t
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3

Dufo-López, Rodolfo, Juan M. Lujano-Rojas, José L. Bernal-Agustín, Jesús S. Artal-Sevil, and Ángel A. Bayod-Rújula. "Energy arbitrage in PV-PHS systems." Renewable Energy and Power Quality Journal 21, no. 1 (2023): 7–12. http://dx.doi.org/10.24084/repqj21.206.

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In this paper, we use MHOGA software for the evaluation of adding pumped hydro storage (PHS) for energy arbitrage in utility-scale PV generating systems. PHS is used for electricity price arbitrage, pumping water from the lower reservoir to the upper reservoir with the PV generation during hours of low electricity price and generating electricity by means of the stored water with the turbine during hours of high price (during these hours the PV generator also injects its production to the grid). The control strategy creates setpoints for the use of the pump and the turbine, trying to obtain th
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4

Flamm, Benjamin, Annika Eichler, Roy S. Smith, and John Lygeros. "Price arbitrage using variable-efficiency energy storage." Journal of Physics: Conference Series 1343 (November 2019): 012060. http://dx.doi.org/10.1088/1742-6596/1343/1/012060.

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5

Jhan, Jia-Zhang, Tzu-Ching Tai, Pei-Ying Chen, and Cheng-Chien Kuo. "Research on Dynamic Reserve and Energy Arbitrage of Energy Storage System." Applied Sciences 12, no. 23 (2022): 11953. http://dx.doi.org/10.3390/app122311953.

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Replacing the traditional rotating generators with renewable energy will reduce the grid’s inertia and with it the minimum frequency when N-1 contingency occurs triggering an Under-Frequency Load Shedding (UFLS). This study proposes a method for the energy storage system (ESS) to simultaneously provide energy arbitrage, reserve capacity, and assist N-1 contingency, by modifying the restriction formula of economic dispatch (ED) and limiting the SOC range of the ESS. Let the ESS join the Spinning Reserve. Through the PSS®E iterative ESS charging power required at moments when the frequency of co
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6

Brivio, Claudio, Stefano Mandelli, and Marco Merlo. "Battery energy storage system for primary control reserve and energy arbitrage." Sustainable Energy, Grids and Networks 6 (June 2016): 152–65. http://dx.doi.org/10.1016/j.segan.2016.03.004.

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7

Bassett, Kyle, Rupp Carriveau, and David S. K. Ting. "Energy arbitrage and market opportunities for energy storage facilities in Ontario." Journal of Energy Storage 20 (December 2018): 478–84. http://dx.doi.org/10.1016/j.est.2018.10.015.

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8

Nakajima, Tadahiro. "Expectations for Statistical Arbitrage in Energy Futures Markets." Journal of Risk and Financial Management 12, no. 1 (2019): 14. http://dx.doi.org/10.3390/jrfm12010014.

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Energy futures have become important as alternative investment assets to minimize the volatility of portfolio return, owing to their low links with traditional financial markets. In order to make energy futures markets grow further, it is necessary to expand expectations of returns from trading in energy futures markets. Therefore, this study examines whether profits can be earned by statistical arbitrage between wholesale electricity futures and natural gas futures listed on the New York Mercantile Exchange. On the assumption that power prices and natural gas prices have a cointegration relat
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9

Hashmi, Md Umar, Deepjyoti Deka, Ana Busic, Lucas Pereira, and Scott Backhaus. "Arbitrage With Power Factor Correction Using Energy Storage." IEEE Transactions on Power Systems 35, no. 4 (2020): 2693–703. http://dx.doi.org/10.1109/tpwrs.2020.2969978.

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10

Peñaranda, Andrés F., David Romero-Quete, and Camilo A. Cortés. "Grid-Scale Battery Energy Storage for Arbitrage Purposes: A Colombian Case." Batteries 7, no. 3 (2021): 59. http://dx.doi.org/10.3390/batteries7030059.

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This study seeks to determine a suitable arbitrage strategy that allows a battery energy storage system (BESS) owner to obtain the maximum economic benefits when participating in the Colombian electricity market. A comparison of different arbitration strategies from the literature, such as seasonal, statistical, and neural networks-based models, is performed. To determine BESS’s optimal operation, a Mixed Integer Linear Programming (MILP) optimization problem is formulated, including a battery degradation model based on an upper piecewise linear approximation method. A financial evaluation of
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11

Weber, Timothy, and Bin Lu. "An Open-Source Energy Arbitrage Model Involving Price Bands for Risk Hedging with Imperfect Price Signals." Energies 17, no. 1 (2023): 13. http://dx.doi.org/10.3390/en17010013.

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The increased uptake of variable renewable energy sources has increased electricity price volatility in many energy pool markets, providing an opportunity for storage systems to profit through energy arbitrage. Comparison between the cost or value of storage systems engaging in energy arbitrage should be performed on a levelised basis due to differences in system lifetime. Existing energy arbitrage models with bid/offer curves and imperfect forecasting are typically computationally expensive and are impractical for calculating lifetime levelised cost metrics. In this work, an open-source modul
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12

Ponnaganti, Pavani, Birgitte Bak-Jensen, Brian Vejrum Wæhrens, and Jesper Asmussen. "Assessment of Energy Arbitrage Using Energy Storage Systems: A Wind Park’s Perspective." Energies 14, no. 16 (2021): 4718. http://dx.doi.org/10.3390/en14164718.

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With the growing application of green energy, the importance of effectively handling the volatile nature of these energy sources is also growing in order to ensure economic and operational viability. Accordingly, the main contribution of this work is to evaluate the revenue potential for wind parks with integrated storage systems in the day-ahead electricity markets using genetic algorithm. It is achieved by the concept of flexible charging–discharging of the Energy Storage System (ESS), taking advantage of the widespread electricity prices that are predicted using a feedforward-neural-network
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13

Mohamed, Ahmed A. Raouf, Robert J. Best, Xueqin Liu, and D. John Morrow. "Single electricity market forecasting and energy arbitrage maximization framework." IET Renewable Power Generation 16, no. 1 (2021): 105–24. http://dx.doi.org/10.1049/rpg2.12345.

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14

Salles, Mauricio, Junling Huang, Michael Aziz, and William Hogan. "Potential Arbitrage Revenue of Energy Storage Systems in PJM." Energies 10, no. 8 (2017): 1100. http://dx.doi.org/10.3390/en10081100.

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15

Chen, Li, and Guang Zhang. "COVID-19 Effects on Arbitrage Trading in the Energy Market." Energies 15, no. 13 (2022): 4584. http://dx.doi.org/10.3390/en15134584.

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This paper investigates the effects of coronavirus disease 2019 (COVID-19) on the performance of arbitrage trading in the energy market using daily data covering the period between 1 January 2015 and 5 December 2021. The investigation was achieved by utilizing a parametric pairs-trading model, where pairs of energy-related securities, including futures, stocks and ETFs traded in the United States, are formed. The empirical results suggest that the out-of-sample performances of pair trading declined sharply in the face of COVID-19. Dividing the whole data sample into two sub-samples, we found t
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16

Pasqui, Mattia, Lorenzo Becchi, Marco Bindi, et al. "Community Battery for Collective Self-Consumption and Energy Arbitrage: Independence Growth vs. Investment Cost-Effectiveness." Sustainability 16, no. 8 (2024): 3111. http://dx.doi.org/10.3390/su16083111.

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Integrating a grid-connected battery into a renewable energy community amplifies the collective self-consumption of photovoltaic energy and facilitates energy arbitrage in the electricity markets. However, how much can energy independence really increase? Is it a cost-effective investment? The answer to these questions represents a novelty in the literature due to the innovative nature of the asset under consideration and the market and regulatory framework in which it is evaluated. Employing a net present value assessment, our analysis incorporated aging effects and conducts sensitivity analy
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17

Wankmüller, Florian, Prakash R. Thimmapuram, Kevin G. Gallagher, and Audun Botterud. "Impact of battery degradation on energy arbitrage revenue of grid-level energy storage." Journal of Energy Storage 10 (April 2017): 56–66. http://dx.doi.org/10.1016/j.est.2016.12.004.

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18

Gundogdu, Burcu, Daniel Gladwin, and David Stone. "Battery energy management strategies for UK firm frequency response services and energy arbitrage." Journal of Engineering 2019, no. 17 (2019): 4152–57. http://dx.doi.org/10.1049/joe.2018.8226.

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19

Zamani-Dehkordi, Payam, Hamed Chitsaz, Logan Rakai, and Hamidreza Zareipour. "A price signal prediction method for energy arbitrage scheduling of energy storage systems." International Journal of Electrical Power & Energy Systems 122 (November 2020): 106122. http://dx.doi.org/10.1016/j.ijepes.2020.106122.

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20

Walawalkar, Rahul, Jay Apt, and Rick Mancini. "Economics of electric energy storage for energy arbitrage and regulation in New York." Energy Policy 35, no. 4 (2007): 2558–68. http://dx.doi.org/10.1016/j.enpol.2006.09.005.

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21

Sadighmanesh, Abdolreza, Mehran Sabahi, and Mahdi Zavvari. "Probabilistic dispatch in hybrid-microgrid system with considering energy arbitrage." Journal of Renewable and Sustainable Energy 11, no. 2 (2019): 025904. http://dx.doi.org/10.1063/1.5081890.

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22

Chau, Frankie, Jing-Ming Kuo, and Yukun Shi. "Arbitrage opportunities and feedback trading in emissions and energy markets." Journal of International Financial Markets, Institutions and Money 36 (May 2015): 130–47. http://dx.doi.org/10.1016/j.intfin.2015.02.002.

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23

Srithapon, Chitchai, Prasanta Ghosh, Apirat Siritaratiwat, and Rongrit Chatthaworn. "Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost." Energies 13, no. 2 (2020): 349. http://dx.doi.org/10.3390/en13020349.

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Electric vehicles (EV) replacing the internal combustion engine vehicle may be the solution for the particulate matter (PM) 2.5 pollution issue. However, the uncontrolled charging of EVs would challenge the power system operation. Therefore, it is necessary to implement some level of control over the EV charging procedure, especially in the residential network. In this paper, an optimization of EVs charging scheduling considering energy arbitrage and the distribution network cost of an urban village environment is presented. The optimized strategy focuses on decreasing the loss of EV owners’ e
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24

Babacan, Oytun, Elizabeth L. Ratnam, Vahid R. Disfani, and Jan Kleissl. "Distributed energy storage system scheduling considering tariff structure, energy arbitrage and solar PV penetration." Applied Energy 205 (November 2017): 1384–93. http://dx.doi.org/10.1016/j.apenergy.2017.08.025.

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25

Bhola, Prabha, Alexandros-Georgios Chronis, Panos Kotsampopoulos, and Nikos Hatziargyriou. "Business Model Selection for Community Energy Storage: A Multi Criteria Decision Making Approach." Energies 16, no. 18 (2023): 6753. http://dx.doi.org/10.3390/en16186753.

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This paper explores business models for community energy storage (CES) and examines their potential and feasibility at the local level. By leveraging Multi Criteria Decision Making (MCDM) approaches and real-world case studies in Europe and India, it presents insights into CES deployment opportunities, challenges, and best practices. Different business models, including community energy cooperatives, utility–community partnerships, demand response, energy services, and market mechanisms, are analyzed. The proposed method combines the MCDM method PROMETHEE II with the fuzzy set theory to obtain
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26

Mikkelson, Daniel, and Konor Frick. "Analysis of controls for integrated energy storage system in energy arbitrage configuration with concrete thermal energy storage." Applied Energy 313 (May 2022): 118800. http://dx.doi.org/10.1016/j.apenergy.2022.118800.

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27

Denysiuk, S., H. Bielokha, and K. Ushchapovsky. "PARTICIPATION OF AGGREGATORS IN ELECTRICITY MARKETS OF LOCAL ELECTRICITY SYSTEM." POLISH JOURNAL OF SCIENCE, no. 82 (January 20, 2025): 56–61. https://doi.org/10.5281/zenodo.14707937.

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The local electricity system is a decentralized network. To achieve effective interaction between suppliers and consumers in the operation of local systems in electricity markets, a load aggregator is needed. The goal of the aggregator is to maximize its profit in the day-ahead energy market. The article examines the features of the participation of load aggregators in day-ahead electricity markets and presents an analysis of the aggregator's operation with forecasted load schedules when applying different demand response programs. The daily load schedule and 4 load change strategies (Load Cur
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28

Meng, Yichao, Ze Ye, Lei Chen, Shanshan Huang, and Tiantian Li. "Energy Storage Deployment and Benefits in the Chinese Electricity Market Considering Renewable Energy Uncertainty and Energy Storage Life Cycle Costs." Processes 12, no. 1 (2024): 130. http://dx.doi.org/10.3390/pr12010130.

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The construction and development of energy storage are crucial areas in the reform of China’s power system. However, one of the key issues hindering energy storage investments is the ambiguity of revenue sources and the inaccurate estimation of returns. In order to facilitate investors’ understanding of revenue sources and returns on investment of energy storage in the existing electricity market, this study has established multiple relevant revenue quantification models. The research methodology employed in this paper consists of three main components: Firstly, we established a revenue model
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29

Vijay, Rohit, and Parul Mathuria. "Complex Power Flexibility Evaluation using Energy Arbitrage between Transmission and Distribution." Electric Power Systems Research 203 (February 2022): 107641. http://dx.doi.org/10.1016/j.epsr.2021.107641.

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30

Karimi Madahi, Seyed Soroush, Bert Claessens, and Chris Develder. "Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism." Journal of Energy Storage 104 (December 2024): 114377. http://dx.doi.org/10.1016/j.est.2024.114377.

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31

Alghumayjan, Saud, Jiajun Han, Ningkun Zheng, Ming Yi, and Bolun Xu. "Energy storage arbitrage in two-settlement markets: A transformer-based approach." Electric Power Systems Research 235 (October 2024): 110755. http://dx.doi.org/10.1016/j.epsr.2024.110755.

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32

Krishnamurthy, Dheepak, Canan Uckun, Zhi Zhou, Prakash R. Thimmapuram, and Audun Botterud. "Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty." IEEE Transactions on Power Systems 33, no. 1 (2018): 84–93. http://dx.doi.org/10.1109/tpwrs.2017.2685347.

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33

Hain, Martin, Julian Hess, and Marliese Uhrig-Homburg. "Relative value arbitrage in European commodity markets." Energy Economics 69 (January 2018): 140–54. http://dx.doi.org/10.1016/j.eneco.2017.11.005.

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34

AMAMRA, Sid-ali, and Hakan KIZMAZ. "ICT-Based Vehicle-to-Grid Operation Based on the Fast Discharge Power for Economic Value." European Journal of Technic 13, no. 2 (2023): 94–100. http://dx.doi.org/10.36222/ejt.1362587.

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Renewable energy sources require effective energy management systems to be efficient in smart grids. Although electric vehicles are all potential consumers, using electric vehicle batteries is an effective utilisation strategy for smart grids. Vehicle-to-grid (V2G) is a crucial future technology for the smart grid. V2G technology proposes employing electric vehicles to contribute the stored energy to the other intelligent grid users. Expansion of the V2G technology is possible by funding, installing, and optimal managing the charging stations. In this work, an economic value of V2G operation i
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35

Jeong, Jaeik, Tai-Yeon Ku, and Wan-Ki Park. "Exploring the Preference for Discrete over Continuous Reinforcement Learning in Energy Storage Arbitrage." Energies 17, no. 23 (2024): 5876. http://dx.doi.org/10.3390/en17235876.

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In recent research addressing energy arbitrage with energy storage systems (ESSs), discrete reinforcement learning (RL) has often been employed, while the underlying reasons for this preference have not been explicitly clarified. This paper aims to elucidate why discrete RL tends to be more suitable than continuous RL for energy arbitrage problems. When using continuous RL, the charging and discharging actions determined by the agent often exceed the physical limits of the ESS, necessitating clipping to the boundary values. This introduces a critical issue where the learned actions become stuc
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36

Tan, Xiaoqi, Yuan Wu, and Danny H. K. Tsang. "Pareto Optimal Operation of Distributed Battery Energy Storage Systems for Energy Arbitrage under Dynamic Pricing." IEEE Transactions on Parallel and Distributed Systems 27, no. 7 (2016): 2103–15. http://dx.doi.org/10.1109/tpds.2015.2478785.

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37

Terlouw, Tom, Tarek AlSkaif, Christian Bauer, and Wilfried van Sark. "Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies." Applied Energy 239 (April 2019): 356–72. http://dx.doi.org/10.1016/j.apenergy.2019.01.227.

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38

Hesse, Holger, Volkan Kumtepeli, Michael Schimpe, et al. "Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming." Energies 12, no. 6 (2019): 999. http://dx.doi.org/10.3390/en12060999.

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To achieve maximum profit by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the profit will be lowered by costs resulting from energy efficiency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efficient implementation of a mixed-integer linear programming method, with a cost function that include
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39

Paulauskas, Nerijus, and Vsevolod Kapustin. "Battery Scheduling Optimization and Potential Revenue for Residential Storage Price Arbitrage." Batteries 10, no. 7 (2024): 251. http://dx.doi.org/10.3390/batteries10070251.

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Residential energy storage systems offer significant potential for price arbitrage by capitalizing on fluctuations in electricity prices throughout the day. This study investigates the potential revenue from optimal battery scheduling for residential storage in different north-western European electricity price zones during 2023. Using Nord Pool day-ahead prices, we applied an optimization model to determine the revenue for two types of batteries: 5 kW/10 kWh and 10 kW/10 kWh. The analysis considered battery capacity, charging and discharging efficiency, and maximum charge/discharge rates. Our
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40

Dufo-López, Rodolfo, Juan M. Lujano-Rojas, Jesús S. Artal-Sevil, and José L. Bernal-Agustín. "Optimising Grid-Connected PV-Battery Systems for Energy Arbitrage and Frequency Containment Reserve." Batteries 10, no. 12 (2024): 427. https://doi.org/10.3390/batteries10120427.

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This study introduces a novel method for optimising the size and control strategy of grid-connected, utility-scale photovoltaic (PV) systems with battery storage aimed at energy arbitrage and frequency containment reserve (FCR) services. By applying genetic algorithms (GA), the optimal configurations of PV generators, inverters/chargers, and batteries were determined, focusing on maximising the net present value (NPV). Both DC- and AC-coupled systems were explored. The performance of each configuration was simulated over a 25-year lifespan, considering varying pricing, solar resources, battery
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41

Kuźniak, Rafał, Artur Pawelec, Artur S. Bartosik, and Marek Pawelczyk. "Determining the Power and Capacity of Electricity Storage in Cooperation with the Microgrid for the Implementation of the Price Arbitration Strategy of Industrial Enterprises Installation." Energies 15, no. 15 (2022): 5614. http://dx.doi.org/10.3390/en15155614.

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The growing worldwide costs of energy produced as a result of conventional fuel combustion, the limited capacity of the distribution grid, and the growing number of unstable installations based on renewable energy sources increase the need to implement systems of stabilization and regulate loads for end users. The battery energy storage system (BESS) that operates in the internal microgrid of an enterprise enables the management of the accumulated energy in any time zone of the day. Using a price arbitrage strategy with an electricity storage facility, we can reduce the cost of high electricit
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42

Abdullah, Wan Syakirah Wan, Miszaina Osman, Mohd Zainal Abidin Ab Kadir, and Renuga Verayiah. "Battery energy storage system (BESS) design for peak demand reduction, energy arbitrage and grid ancillary services." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (2020): 398. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp398-408.

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<span style="font-size: 9pt; font-family: 'Times New Roman', serif;">Renewable Energy (RE) penetration is a new phenomenon in power systems. In the advent of high penetration of RE in the systems, several issues have to be addressed especially when it involves the stability and flexibility of the power systems. Battery Energy Storage System (BESS) has gained popularity due to its capability to store energy and to serve multiple purposes in solving various power system concerns. Additionally, several BESS can be combined to operate as Virtual Power Plant (VPP). This study will involve the
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43

Mantar Gundogdu, Burcu, Dan T. Gladwin, Shahab Nejad, and David Andrew Stone. "Scheduling of grid-tied battery energy storage system participating in frequency response services and energy arbitrage." IET Generation, Transmission & Distribution 13, no. 14 (2019): 2930–41. http://dx.doi.org/10.1049/iet-gtd.2018.6690.

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44

Wan, Syakirah Wan Abdullah, Osman Miszaina, Zainal Abidin Ab Kadir Mohd, and Verayiah Renuga. "Battery energy storage system (BESS) design for peak demand reduction, energy arbitrage and grid ancillary services." International Journal of Power Electronics and Drive System (IJPEDS) 11, no. 1 (2020): 398–408. https://doi.org/10.11591/ijpeds.v11.i1.pp398-408.

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Renewable Energy (RE) penetration is a new phenomenon in power systems. In the advent of high penetration of RE in the systems, several issues have to be addressed especially when it involves the stability and flexibility of the power systems. Battery Energy Storage System (BESS) has gained popularity due to its capability to store energy and to serve multiple purposes in solving various power system concerns. Additionally, several BESS can be combined to operate as Virtual Power Plant (VPP). This study will involve the design and implementation of BESS for five potential customer sites for th
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45

Dufo-López, Rodolfo, and Juan M. Lujano-Rojas. "Simulation and Optimisation of Utility-Scale PV–Wind Systems with Pumped Hydro Storage." Applied Sciences 14, no. 16 (2024): 7033. http://dx.doi.org/10.3390/app14167033.

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Based on economic feasibility, renewable generators can use pumped hydro storage (PHS) to improve their profitability by performing energy arbitrage under real-time pricing (RTP) schemes. In this paper, we present a new method to optimise the size of and manage utility-scale wind–PV systems using PHS with energy arbitrage under RTP. PHS is used to supply load consumption and/or energy arbitrage. Further, both load-supply and power-generating systems are considered, and a genetic algorithm metaheuristic technique is used to perform the optimisation efficiently. Irradiance, wind speed, temperatu
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46

Marini, Abbas, Luigi Piegari, S.-Saeedallah Mortazavi, and Mohammad-S. Ghazizadeh. "Coordinated Operation of Energy Storage Systems for Distributed Harmonic Compensation in Microgrids." Energies 13, no. 3 (2020): 771. http://dx.doi.org/10.3390/en13030771.

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Energy storage systems (ESSs) bring various opportunities for a more reliable and flexible operation of microgrids (MGs). Among them, energy arbitrage and ancillary services are the most investigated application of ESSs. Furthermore, it has been shown that some other services could also be provided by ESSs such as power quality (PQ) improvements. This issue could be more challenging in MGs with widespread nonlinear loads injecting harmonic currents to the MG. In this paper, the feasibility of ESSs to act as coordinated active harmonic filters (AHF) for distributed compensation was investigated
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47

Harrold, Daniel J. B., Jun Cao, and Zhong Fan. "Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning." Energy 238 (January 2022): 121958. http://dx.doi.org/10.1016/j.energy.2021.121958.

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48

Kadri, Abdeslem, and Kaamran Raahemifar. "Jurisdiction-based optimisation of BESS operating with solar arrays for energy arbitrage." International Journal of Industrial Electronics and Drives 4, no. 4 (2018): 215. http://dx.doi.org/10.1504/ijied.2018.099616.

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49

Kadri, Abdeslem, and Kaamran Raahemifar. "Jurisdiction-based optimisation of BESS operating with solar arrays for energy arbitrage." International Journal of Industrial Electronics and Drives 4, no. 4 (2018): 215. http://dx.doi.org/10.1504/ijied.2018.10021236.

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50

Sarker, Mushfiqur R., Daniel Julius Olsen, and Miguel A. Ortega-Vazquez. "Co-Optimization of Distribution Transformer Aging and Energy Arbitrage Using Electric Vehicles." IEEE Transactions on Smart Grid 8, no. 6 (2017): 2712–22. http://dx.doi.org/10.1109/tsg.2016.2535354.

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