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Journal articles on the topic 'Hybrid management control systems'

Author: Grafiati

Published: 24 June 2021

Last updated: 7 February 2022

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1

Tomlin, C., G. Pappas, J. Lygeros, D. Godbole, S. Sastry, and G. Meyer. "Hybrid Control in Air Traffic Management Systems 1." IFAC Proceedings Volumes 29, no. 1 (June 1996): 5512–17. http://dx.doi.org/10.1016/s1474-6670(17)58559-6.

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2

van der Laan, Erwin, Marc Salomon, Rommert Dekker, and Luk Van Wassenhove. "Inventory Control in Hybrid Systems with Remanufacturing." Management Science 45, no. 5 (May 1999): 733–47. http://dx.doi.org/10.1287/mnsc.45.5.733.

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3

Bongermino, Elisabetta, Michele Tomaselli, Vito G. Monopoli, Gianluca Rizzello, Francesco Cupertino, and David Naso. "Hybrid Aeronautical Propulsion: Control and Energy Management." IFAC-PapersOnLine 50, no. 2 (December 2017): 169–74. http://dx.doi.org/10.1016/j.ifacol.2017.12.031.

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4

Zhang, Wei, and Jianghai Hu. "Dynamic buffer management using optimal control of hybrid systems." Automatica 44, no. 7 (July 2008): 1831–40. http://dx.doi.org/10.1016/j.automatica.2007.10.036.

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Chen, Mo, and Claire J. Tomlin. "Hamilton–Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 333–58. http://dx.doi.org/10.1146/annurev-control-060117-104941.

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Autonomous systems are becoming pervasive in everyday life, and many of these systems are complex and safety-critical. Formal verification is important for providing performance and safety guarantees for these systems. In particular, Hamilton–Jacobi (HJ) reachability is a formal verification tool for nonlinear and hybrid systems; however, it is computationally intractable for analyzing complex systems, and computational burden is in general a difficult challenge in formal verification. In this review, we begin by briefly presenting background on reachability analysis with an emphasis on the HJ formulation. We then present recent work showing how high-dimensional reachability verification can be made more tractable by focusing on two areas of development: system decomposition for general nonlinear systems, and traffic protocols for unmanned airspace management. By tackling the curse of dimensionality, tractable verification of practical systems is becoming a reality, paving the way for more pervasive and safer automation.

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Reddy, Y. Jaganmohan, Y. V. Pavan Kumar, Anilkumar Ramsesh, and K. Padma Raju. "Dynamic Control Algorithm for Energy Management In Hybrid Power Systems With A Novel Design for Power Quality Improvement." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 150–56. http://dx.doi.org/10.15373/22778179/may2013/53.

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7

Wu, Zhangling, Peiquan Jin, Chengcheng Yang, and Lihua Yue. "Efficient Memory Management for NVM-Based Hybrid Memory Systems." International Journal of Control and Automation 9, no. 1 (January 31, 2016): 445–58. http://dx.doi.org/10.14257/ijca.2016.9.1.38.

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8

Thomas, Walter E., Wesley J. Everman, Jayla Allen, Jim Collins, and John W. Wilcut. "Economic Assessment of Weed Management Systems in Glufosinate-Resistant, Glyphosate-Resistant, Imidazolinone-Tolerant, and Nontransgenic Corn." Weed Technology 21, no. 1 (March 2007): 191–98. http://dx.doi.org/10.1614/wt-06-054.1.

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Four field studies were conducted in 2004 to evaluate corn tolerance, weed control, grain yield, and net returns in glufosinate-resistant (GUR), glyphosate-resistant (GYR), imidazolinone-tolerant (IT), and nontransgenic (NT) corn with various herbicide systems. No significant differences between hybrid systems were observed for weed control. Limited corn injury (< 5%) was observed for all herbicide treatments. A single early POST (EPOST) system withoutS-metolachlor and sequential POST over the top (POT) herbicide systems, averaged over corn hybrids and PRE and late POST-directed (LAYBY) herbicide options, provide 93 and 99% control of goosegrass, respectively, and at least 83 and 97% control of Texas panicum, respectively. A single EPOST system withoutS-metolachlor, averaged over corn hybrids and LAYBY treatment options, provided at least 88% control of large crabgrass. When averaged over corn hybrid and PRE herbicide options, a sequential POT herbicide system alone provided at least 98, 99, 98, and 100 control of large crabgrass, morningglory species, Palmer amaranth, and common lambsquarters, respectively. The addition of ametryn at LAYBY to a single EPOST system withoutS-metolachlor was beneficial for improving control of morningglory species, common lambsquarters, and Palmer amaranth, depending on location. However, the observed increases (7 percentage points or less) are likely of limited biological significance. Grain yield was variable between hybrids and locations because of environmental differences. Consequently, net returns for each hybrid system within a location were also variable. Any POT system with or without ametryn at LAYBY, averaged over corn hybrid and PRE herbicide options, provided at least 101, 97, 92, and 92% yield protection at Clayton, Kinston, Lewiston, and Rocky Mount, NC, respectively. Net returns were maximized with treatments that provided excellent weed control with minimal inputs.

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Doff-Sotta, Martin, Mark Cannon, and Marko Bacic. "Optimal energy management for hybrid electric aircraft." IFAC-PapersOnLine 53, no. 2 (2020): 6043–49. http://dx.doi.org/10.1016/j.ifacol.2020.12.1672.

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10

Zhang, Hong, and Paul Georgescu. "Finite-time control of impulsive hybrid dynamical systems in pest management." Mathematical Methods in the Applied Sciences 37, no. 17 (January 16, 2014): 2728–38. http://dx.doi.org/10.1002/mma.3013.

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11

Abreu, Amanda, Romain Bourdais, and Hérvé Guéguen. "Hierarchical Model Predictive Control for Building Energy Management of Hybrid Systems." IFAC-PapersOnLine 51, no. 16 (2018): 235–40. http://dx.doi.org/10.1016/j.ifacol.2018.08.040.

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12

Berthaut, F., A. Gharbi, and R. Pellerin. "Joint hybrid repair and remanufacturing systems and supply control." International Journal of Production Research 48, no. 14 (June 16, 2009): 4101–21. http://dx.doi.org/10.1080/00207540902933148.

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13

Alleyne, Andrew, Timothy Deppen, Jonathan Meyer, and Kim Stelson. "Enery management in Mobile Hydraulics." Mechanical Engineering 135, no. 06 (June 1, 2013): S4—S6. http://dx.doi.org/10.1115/1.2013-jun-5.

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This paper explores research into hydraulic hybrids that span a wide range of applications from heavy-duty vehicles, such as city buses, to small passenger vehicles. This case study also highlights the importance of having a well-designed energy management strategy if one is to maximize benefit of the hybrid powertrain. There is potential for hydraulic hybrid vehicles to offer a cost-effective solution to the need for increased efficiency in transportation systems. The high-power density of fluid power makes it a natural choice for energy storage in urban driving environments where there are frequent starts/stops and large acceleration/braking power demands. Because the opportunities and challenges of fluid power are different than those of electrical power, unique control strategies are needed and a summary of common energy management strategies (EMS) design methods for hydraulic hybrids has been presented.

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14

Cicirelli, Franco, and Libero Nigro. "Admission Control in Home Energy Management Systems Using Theatre and Hybrid Actors." Modelling 2, no. 2 (May 12, 2021): 288–307. http://dx.doi.org/10.3390/modelling2020015.

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The goal of a Home Energy Management System (HEMS) is that of purposely shaping the cumulative energy consumption curves of domestic appliances by imposing suitable monitoring and control policies. The development of HEMS, like the development of general Cyber-Physical Systems (CPSs), is challenging, as it requires the exploitation of suitable methodological approaches which are able to deal jointly with the continuous and discrete behaviours of a CPS. In this paper, a methodological approach for HEMS is advocated which relies on the use of the Theatre actor system with hybrid actors. As a key feature, Theatre enables the same actor model to be used during the analysis, design, prototyping and implementation phases of the system. For property assessment, a Theatre model is reduced to Uppaal hybrid timed automata for analysis by statistical model checking. As a significant modelling example, a HEMS is proposed which implements an admission control strategy able to maintain the in-home energy consumption under a given threshold. Instead of reacting to an overload condition, the strategy is able to prevent an overload upfront by predicting the effect that the admission of a new load will have on the consumption curve of the whole system.

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Elmouatamid, Abdellatif, Radouane Ouladsine, Mohamed Bakhouya, Najib El Kamoun, Mohammed Khaidar, and Khalid Zine-Dine. "Review of Control and Energy Management Approaches in Micro-Grid Systems." Energies 14, no. 1 (December 31, 2020): 168. http://dx.doi.org/10.3390/en14010168.

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The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems. Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings. A classification of approaches is also given in order to shed more light on the need for predictive control for energy management in MGs.

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Dinh, Truong Q., Truong M. N. Bui, James Marco, Chris Watts, and Jong I. Yoon. "Optimal Energy Management for Hybrid Electric Dynamic Positioning Vessels." IFAC-PapersOnLine 51, no. 29 (2018): 98–103. http://dx.doi.org/10.1016/j.ifacol.2018.09.476.

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17

Deng, Junpeng, Luigi del Re, and Stephen Jones. "Predictive Hybrid Powertrain Energy Management with Asynchronous Cloud Update." IFAC-PapersOnLine 53, no. 2 (2020): 14123–28. http://dx.doi.org/10.1016/j.ifacol.2020.12.1013.

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18

Sureshkumar, Kumaravel, and Vijayakumar Ponnusamy. "Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique." Transactions of the Institute of Measurement and Control 42, no. 11 (March 3, 2020): 2068–87. http://dx.doi.org/10.1177/0142331220904818.

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Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modified elephant herding optimization algorithm with tabu search algorithm named as MEHOTSA. In the proposed technique, the modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The multi-objective function is shaped by the grid required active power and reactive power varieties generated based on the accessible source power. The accomplished dataset is used to work the Tabu search algorithm on the online way and it leads the control procedure in less execution time. The proposed technique-based control model enhances the control parameters of the power controller in light of the power flow varieties. By utilizing the proposed methodology, the power flow management of the smart grid system is controlled dependent on the source side and load side parameters varieties. Additionally, the proposed methodology is in charge of controlling the energy sources so as to produce the power demanded by the grid, utilizing optimally both renewable energy sources and energy storage devices. Finally, the proposed model be actualized in MATLAB/Simulink platform and the performance are compared with other techniques.

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19

Majecki, Pawel, Michael J. Grimble, Ibrahim Haskara, and Chen-Fang Chang. "Hybrid Model Predictive Control of a Variable Displacement Engine Mode Management." IFAC-PapersOnLine 53, no. 2 (2020): 14047–54. http://dx.doi.org/10.1016/j.ifacol.2020.12.933.

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20

GRELLE, C., L. IPPOLITO, V. LOIA, and P. SIANO. "Agent-based architecture for designing hybrid control systems." Information Sciences 176, no. 9 (May 8, 2006): 1103–30. http://dx.doi.org/10.1016/j.ins.2005.07.018.

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21

Lin, Xinfan, Youngki Kim, Shankar Mohan, Jason B. Siegel, and Anna G. Stefanopoulou. "Modeling and Estimation for Advanced Battery Management." Annual Review of Control, Robotics, and Autonomous Systems 2, no. 1 (May 3, 2019): 393–426. http://dx.doi.org/10.1146/annurev-control-053018-023643.

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The commercialization of lithium-ion batteries enabled the widespread use of portable consumer electronics and serious efforts to electrify trans-portation. Managing the potent brew of lithium-ion batteries in the large quantities necessary for vehicle propulsion is still challenging. From space applications a billion miles from Earth to the daily commute of a hybrid electric automobile, these batteries require sophisticated battery management systems based on accurate estimation of battery internal states. This system is the brain of the battery and is responsible for estimating the state of charge, state of health, state of power, and temperature. The state estimation relies on accurate prediction of complex electrochemical, thermal, and mechanical phenomena, which increases the importance of model and parameter accuracy. Moreover, as the batteries age, how should the parameters of the model change to accurately represent the performance, and how can we leverage the limited sensor information from the measured terminal voltage and sparse surface temperatures available in a battery system? With a frugal sensor set, what is the optimal sensor placement? This article reviews estimation techniques and error bounds regarding sensor noise and modeling errors, and concludes with an outlook on the research that will be necessary to enable fast charging, repurposing of batteries for grid energy storage, degradation prediction, and fault detection.

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22

ATTOU, Nasreddine, Sid-Ahmed ZIDI, Mohamed KHATIR, and Samir HADJERI. "Energy Management System for Hybrid Microgrids." Electrotehnica, Electronica, Automatica 69, no. 2 (May 15, 2021): 21–30. http://dx.doi.org/10.46904/eea.21.69.2.1108003.

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Energy management in grid-connected Micro-grids (MG) has undergone rapid evolution in recent times due to several factors such as environmental issues, increasing energy demand and the opening of the electricity market. The Energy Management System (EMS) allows the optimal scheduling of energy resources and energy storage systems in MG in order to maintain the balance between supply and demand at low cost. The aim is to minimize peaks and fluctuations in the load and production profile on the one hand, and, on the other hand, to make the most of renewable energy sources and energy exchanges with the utility grid. In this paper, our attention has been focused on a Rule-based energy management system (RB EMS) applied to a residential multi-source grid-connected MG. A Microgrid model has been implemented that combines distributed energy sources (PV, WT, BESS), a number of EVs equipped with the Vehicle to Grid technology (V2G) and variable load. Different operational scenarios were developed to see the behaviour of the implemented management system during the day, including the random demand profile of EV users, the variation in load and production, grid electricity price variation. The simulation results presented in this paper demonstrate the efficacy of the suggested EMS and confirm the strategy's feasibility as well as its ability to properly share power among different sources, loads and vehicles by obeying constraints on each element.

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23

Naji Alhasnawi, Bilal, Basil H. Jasim, and M. Dolores Esteban. "A New Robust Energy Management and Control Strategy for a Hybrid Microgrid System Based on Green Energy." Sustainability 12, no. 14 (July 16, 2020): 5724. http://dx.doi.org/10.3390/su12145724.

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The recent few years have seen renewable energy becoming immensely popular. Renewable energy generation capacity has risen in both standalone and grid-connected systems. The chief reason is the ability to produce clean energy, which is both environmentally friendly and cost effective. This paper presents a new control algorithm along with a flexible energy management system to minimize the cost of operating a hybrid microgrid. The microgrid comprises fuel cells, photovoltaic cells, super capacitors, and other energy storage systems. There are three stages in the control system: an energy management system, supervisory control, and local control. The energy management system allows the control system to create an optimal day-ahead power flow schedule between the hybrid microgrid components, loads, batteries, and the electrical grid by using inputs from economic analysis. The discrepancy between the scheduled power and the real power delivered by the hybrid microgrid is adjusted for by the supervisory control stage. Additionally, this paper provides a design for the local control system to manage local power, DC voltage, and current in the hybrid microgrid. The operation strategy of energy storage systems is proposed to solve the power changes from photovoltaics and houses load fluctuations locally, instead of reflecting those disturbances to the utility grid. Furthermore, the energy storage systems energy management scheme will help to achieve the peak reduction of the houses’ daily electrical load demand. Also, the control of the studied hybrid microgrid is designed as a method to improve hybrid microgrid resilience and incorporate renewable power generation and storage into the grid. The simulation results verified the effectiveness and feasibility of the introduced strategy and the capability of proposed controller for a hybrid microgrid operating in different modes. The results showed that (1) energy management and energy interchange were effective and contributed to cost reductions, CO2 mitigation, and reduction of primary energy consumption, and (2) the newly developed energy management system proved to provide more robust and high performance control than conventional energy management systems. Also, the results demonstrate the effectiveness of the proposed robust model for microgrid energy management.

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Hadj-Said, S., G. Colin, A. Ketfi-Cherif, and Y. Chamaillard. "Analytical Solution for Energy Management of Parallel Hybrid Electric Vehicles." IFAC-PapersOnLine 50, no. 1 (July 2017): 13872–77. http://dx.doi.org/10.1016/j.ifacol.2017.08.2234.

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Mohammadzadeh, Ardashir, and Sakthivel Rathinasamy. "Energy management in photovoltaic battery hybrid systems: A novel type-2 fuzzy control." International Journal of Hydrogen Energy 45, no. 41 (August 2020): 20970–82. http://dx.doi.org/10.1016/j.ijhydene.2020.05.187.

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26

Peng, Hui, Junzheng Wang, Wei Shen, Dawei Shi, and Yuan Huang. "Compound control for energy management of the hybrid ultracapacitor-battery electric drive systems." Energy 175 (May 2019): 309–19. http://dx.doi.org/10.1016/j.energy.2019.03.088.

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27

Byung-In Kim, S. S. Heragu, R. J. Graves, and A. St. Onge. "A hybrid scheduling and control system architecture for warehouse management." IEEE Transactions on Robotics and Automation 19, no. 6 (December 2003): 991–1001. http://dx.doi.org/10.1109/tra.2003.819735.

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28

Duviella, E., P. Chiron, P. Charbonnaud, and P. Hurand. "Supervision and hybrid control accommodation for water asset management." Control Engineering Practice 15, no. 1 (January 2007): 17–27. http://dx.doi.org/10.1016/j.conengprac.2006.02.012.

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29

Jimenez, Jose-Fernando, Abdelghani Bekrar, Gabriel Zambrano-Rey, Damien Trentesaux, and Paulo Leitão. "Pollux: a dynamic hybrid control architecture for flexible job shop systems." International Journal of Production Research 55, no. 15 (August 9, 2016): 4229–47. http://dx.doi.org/10.1080/00207543.2016.1218087.

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30

Harrigan, Fiona. "Evolution of Accounting Controls in a De-Integrated Project Structure: A Case of Hybridization." Journal of Information Systems 28, no. 2 (April 1, 2014): 329–55. http://dx.doi.org/10.2308/isys-50777.

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ABSTRACT This paper studies accounting controls in the design and production of the 787 aircraft project by Boeing Commercial Aircraft Group (BCAG). The literature strongly supports the role of accounting control systems in operationalizing de-integrated structures, acknowledging that such systems may become “hybrids” of accounting and technological practices. Hybrid processes are critical in operationalizing network forms and allowing products and technologies to be developed in “virtual” spaces. As accounting encounters hybrids (e.g., costing of product specifications, technological performance standards) it renders them calculable and measurable. Simultaneously, accounting becomes hybridized in interaction with other disciplines. Empirical findings from a case study revealed that accounting control practices used by Boeing on the 787 project closely intertwine with IT practices and design technology, suggesting significant “hybridization” of accounting practices with these fields.

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31

Gajewski, Piotr, and Krzysztof Pieńkowski. "Control of the Hybrid Renewable Energy System with Wind Turbine, Photovoltaic Panels and Battery Energy Storage." Energies 14, no. 6 (March 13, 2021): 1595. http://dx.doi.org/10.3390/en14061595.

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The aim of the paper is the study of the Hybrid Renewable Energy System, which is consisted of two types of renewable energy systems (wind and sun) and is combined with storage energy system (battery). The paper presents the classification and review of architectures of Hybrid Renewable Energy Systems. The considered Hybrid Renewable Energy System was designed as a multi-converter system with gearless Wind Turbine driven Permanent Magnet Synchronous Generator and with a Photovoltaic Array and Battery Energy System. The mathematical models of individual elements of a complex Hybrid Renewable Energy System were described. In the control of both systems of Wind Turbine with Permanent Magnet Synchronous Generator and Photovoltaic array, the algorithms of Maximum Power Point Tracking have been implemented for higher efficiency of energy conversion. The energy storage in the battery has been managed by the control system of a bidirectional DC/DC converter. For the control of the Machine Side Converter and Wind Turbine with Permanent Magnet Synchronous Generator, the vector control method has been implemented. In the control system of the Grid Side Converter, the advanced method of Direct Power Control has been applied. The energy management strategies for optimal flows of electrical energy between individual systems of considered hybrid renewable energy system are developed and described. In order to determine the operation of proposed control systems, the simulation studies have been performed for different conditions of operation of individual elements of the complex hybrid system. The considered control methods and energy management strategies were tested thorough simulation studies for different wind speed variations, different sun irradiations, and different local load demands. The performed simulations are of practical importance in terms of proper operation requirements, design selection of components and energy management of Hybrid Renewable Energy Systems.

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Benmouna, Amel, and Mohamed Becherif. "Combined passivity based control and optimal control for energy management of fuel cell/battery hybrid system." Asian Journal of Control 21, no. 4 (June 27, 2019): 1857–68. http://dx.doi.org/10.1002/asjc.2133.

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Bizon, Nicu, and Phatiphat Thounthong. "Multi-Objective Energy Management Strategy for PV/FC Hybrid Power Systems." Electronics 10, no. 14 (July 18, 2021): 1721. http://dx.doi.org/10.3390/electronics10141721.

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In this paper, a new control of the DC–DC power converter that interfaces the fuel cell (FC) system with the DC bus of the photovoltaic (PV) power system is proposed to increase the battery lifespan by its operating in charge-sustained mode. Thus, the variability of the PV power and the load demand is compensated by the FC power generated considering the power flows balance on the DC bus. During peak PV power, if the PV power exceeds the load demand, then the excess power on the DC bus will power an electrolyzer. The FC system operation as a backup energy source is optimized using a new fuel economy strategy proposed for fueling regulators. The fuel optimization function considers the fuel efficiency and electrical efficiency of the FC system to maximize fuel economy. The fuel economy obtained in the scenarios considered in this study is compared with reference strategies reported in the literature. For example, under scenarios considered in this paper, the fuel economy is between 4.82–20.71% and 1.64–3.34% compared to a commercial strategy based on static feed-forward (sFF) control and an advanced strategy recently proposed in the literature, respectively.

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Kareemulla, T., S. Delprat, and L. Czelecz. "State constrained hybrid vehicle optimal energy management: an interior penalty approach." IFAC-PapersOnLine 50, no. 1 (July 2017): 10040–45. http://dx.doi.org/10.1016/j.ifacol.2017.08.1774.

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Hofstetter, Johannes, Hans Bauer, Wenbin Li, and Georg Wachtmeister. "Energy and Emission Management of Hybrid Electric Vehicles using Reinforcement Learning." IFAC-PapersOnLine 52, no. 29 (2019): 19–24. http://dx.doi.org/10.1016/j.ifacol.2019.12.615.

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Rouquet, S., M. Ghanes, J. P. Barbot, and L. Merienne. "Power Management in Serial Hybrid Electric Vehicle: A singular perturbation approach." IFAC-PapersOnLine 53, no. 2 (2020): 13775–80. http://dx.doi.org/10.1016/j.ifacol.2020.12.885.

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Agbli, Kréhi Serge, Mickaël Hilairet, and Frédéric Gustin. "Real-Time Control Based on a CAN-Bus of Hybrid Electrical Systems." Energies 13, no. 17 (September 1, 2020): 4502. http://dx.doi.org/10.3390/en13174502.

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Power management of a one-converter parallel structure with battery and supercapacitor is addressed in this paper. The controller is implemented on a DSP from a Microchip and uses a Controller Area Network (CAN) bus communication for data exchange. However, the low data transmission rate of the CAN bus data impacts the performances of regular power management strategies. This paper details an initial strategy with a charge sustaining mode for an application coupling a battery with supercapacitors, in which low performances have been witnessed due to the high sampling time of the CAN bus data. Therefore, a new strategy is proposed to tackle the sample time issue based on a depleting mode. Simulation and experimental results with a dsPIC33EP512MU810 DSP based on a 10 kW hybrid system proves the feasibility of the proposed approach.

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38

Ferretti, Roberto, and Hasnaa Zidani. "Monotone Numerical Schemes and Feedback Construction for Hybrid Control Systems." Journal of Optimization Theory and Applications 165, no. 2 (August 13, 2014): 507–31. http://dx.doi.org/10.1007/s10957-014-0637-0.

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39

Wu, Xiang, Kanjian Zhang, and Ming Cheng. "Optimal control of bioprocess systems using hybrid numerical optimization algorithms." Optimization 67, no. 8 (May 2, 2018): 1287–306. http://dx.doi.org/10.1080/02331934.2018.1466299.

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40

Wei, X., L. Guzzella, V. I. Utkin, and G. Rizzoni. "Model-Based Fuel Optimal Control of Hybrid Electric Vehicle Using Variable Structure Control Systems." Journal of Dynamic Systems, Measurement, and Control 129, no. 1 (June 26, 2006): 13–19. http://dx.doi.org/10.1115/1.2397148.

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Hybrid electric vehicles provide promising alternatives to conventional engine-powered vehicles with better fuel economy and less emission. Realization of these benefits depends, in part, on proper control of the vehicle. This paper examines a variable structure control that switches between two operating points. The resulting sliding optimal control provides a better energy management strategy than that obtained conventionally from Pontryagin’s minimum principle. Since one of the operating points is at zero engine power, this sliding optimal control is also referred to as engine start-stop strategy. Contrary to the general understanding that the engine should only stop at low speeds or during decelerations, it is shown that engine start-stop also improves fuel economy during highway cruising. The main contribution of this paper is to theoretically prove that this “duty-cycle” operation mode is indeed optimal using Pontryagin’s minimum principle.

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Hammond, Tasha M., Neda Eskandari, and Meeko M. K. Oishi. "Observability of User-Interfaces for Hybrid LTI Systems Under Collaborative Control: Application to Aircraft Flight Management Systems." IEEE Transactions on Automation Science and Engineering 13, no. 1 (January 2016): 78–84. http://dx.doi.org/10.1109/tase.2015.2498704.

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Duviella, Eric, Pascale Chiron, and Philippe Charbonnaud. "Hybrid Control Accommodation forWater-asset Management of Hydraulic Systems Subjected to Large Operating Conditions." International Journal of Computers Communications & Control 2, no. 3 (September 1, 2007): 241. http://dx.doi.org/10.15837/ijccc.2007.3.2357.

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The Hybrid Control Accommodation (HCA) strategy was proposed to improve the water-asset management of hydraulic systems by resource allocation and setpoint assignment. Hydraulic system dynamics are taken into account during the setpoint assignment step which consists in controlling gates for large operating conditions. For hydraulic systems subjected to strong disturbances, transfer delays are variable, thus different operating modes must be considered. A multimodelling method, associated to a selection technique of transfer delay, allowing for the determination of the number of models, is proposed. The simulation results on the first reach of the Neste canal show the effectiveness of the HCA strategy.

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Altosole, Marco, Flavio Balsamo, Ugo Campora, and Luigia Mocerino. "Marine Dual-Fuel Engines Power Smart Management by Hybrid Turbocharging Systems." Journal of Marine Science and Engineering 9, no. 6 (June 15, 2021): 663. http://dx.doi.org/10.3390/jmse9060663.

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The performance of a marine dual-fuel engine, equipped with an innovative hybrid turbocharger producing electric power to satisfy part of the ship’s electric load, is presented by a simulation comparison with the traditional turbocharging technology. The two distinct fuel types, combined with the hybrid turbocharger, involve a substantial change in the engine control modes, resulting in more flexible and efficient power management. Therefore, the investigation requires a numerical analysis depending on the engine load variation, in both fuelling modes, to highlight different behaviours. In detail, a dual-fuel engine simulation model is validated for a particular application in order to perform a complete comparison, reported in tabular and graphical form, between the two examined turbocharging solutions. The simulation analysis is presented in terms of the engine working data and overall energy conversion efficiency.

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Traverso, Alberto, Aristide Massardo, Rory A. Roberts, Jack Brouwer, and Scott Samuelsen. "Gas Turbine Assessment for Air Management of Pressurized SOFC/GT Hybrid Systems." Journal of Fuel Cell Science and Technology 4, no. 4 (June 9, 2006): 373–83. http://dx.doi.org/10.1115/1.2714567.

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This paper analyzes and compares transient and steady-state performance characteristics of different types of single-shaft turbo-machinery for controlling the air through a pressurized solid oxide fuel cell (SOFC) stack that is integrated into a SOFC/GT pressurized hybrid system. Analyses are focused on the bottoming part of the cycle, where the gas turbine (GT) has the role of properly managing airflow to the SOFC stack for various loads and at different ambient conditions. Analyses were accomplished using two disparate computer programs, which each modeled a similar SOFC/GT cycle using identical generic gas turbine performance maps. The models are shown to provide consistent results, and they are used to assess: (1) the influence of SOFC exhaust composition on expander behavior for on-design conditions, (2) the off-design performance of the bypass, bleed, and variable speed controls for various part-load conditions and for different ambient conditions; (3) the features of such controls during abrupt transients such as load trip and bypass/bleed valve failure. The results show that a variable speed microturbine is the best option for off-design operation of a SOFC/GT hybrid system. For safety measures a bleed valve provides adequate control of the system during load trip. General specifications for a radial GT engine for integration with a 550kW pressurized SOFC stack are identified, which allow operation under a wide range of ambient conditions as well as several different cycle configurations.

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Dali, Medhi, Jamel Belhadj, and Xavier Roboam. "Hybrid wind-photovoltaic power systems. Structure complexity and energy efficiency, control and energy management." Revue internationale de génie électrique 12, no. 5-6 (October 27, 2009): 669–700. http://dx.doi.org/10.3166/ejee.12.669-700.

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Mayer, Barbara, Michaela Killian, and Martin Kozek. "Management of hybrid energy supply systems in buildings using mixed-integer model predictive control." Energy Conversion and Management 98 (July 2015): 470–83. http://dx.doi.org/10.1016/j.enconman.2015.02.076.

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Li, Xiaolin, Xinxin Liu, Han Zhao, Huanyu Zhao, Nanyan Jiang, and Manish Parashar. "ASGrid: autonomic management of hybrid sensor grid systems and applications." International Journal of Sensor Networks 6, no. 3/4 (2009): 234. http://dx.doi.org/10.1504/ijsnet.2009.029399.

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Maritz, Jacques. "Optimized Energy Management Strategies for Campus Hybrid PV–Diesel Systems during Utility Load Shedding Events." Processes 7, no. 7 (July 8, 2019): 430. http://dx.doi.org/10.3390/pr7070430.

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The unique situation of utility power curtailment unveils opportunities in the fields of energy management and digital resource management. During utility load shedding events, campuses are typically driven as Photo Voltaic (PV)–diesel generator hybrid systems, of which the main fossil resource driver is diesel. With the appropriate Supervisory Control and Data Acquisition (SCADA) systems, discrete departmental energy policies along with control, forecasting and Internet of Things (IoT) infrastructure, the campus hybrid system could be optimized on a short timescale during the shedding event. In this paper the optimization methodology, required technology infrastructure, possible forecasting algorithms and potential implementation will be discussed.

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Prudhvi Kumar, G. R., D. Sattianadan, and K. Vijayakumar. "A survey on power management strategies of hybrid energy systems in microgrid." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1667. http://dx.doi.org/10.11591/ijece.v10i2.pp1667-1673.

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The power generation through renewable energy resources is increasing vastly, Solar energy and Wind Energy are the most abundantly available renewable energy resources. The growth of small scale distributed grid networks increasing rapidly in the modern power systems and Distributed Generation (DG) plays a predominant role. Microgrid is one among the emerging techniques in power systems. Power Management is mainly required to have control over the real and reactive power of individual DG and for smooth operation, maintaining stability and reliability. This paper presents a survey of the research works already reported focusing on power management of hybrid energy systems such as mainly solar and wind systems in microgrid. Six different approaches have been studied in detail for AC,DC and hybrid AC/DC microgrid.

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Chen, Hao, Jian Chen, Zhiyang Liu, and Huaxin Lu. "Real‐time optimal energy management for a fuel cell/battery hybrid system." Asian Journal of Control 21, no. 4 (March 25, 2019): 1847–56. http://dx.doi.org/10.1002/asjc.2065.

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