Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review
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- Limpens, Gauthier & Jeanmart, Hervé, 2018. "Electricity storage needs for the energy transition: An EROI based analysis illustrated by the case of Belgium," Energy, Elsevier, vol. 152(C), pages 960-973.
- Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching & Chu, Ron F. & Sun, Wei, 2013.
"A Nash Approach to Planning Merchant Transmission for Renewable Resource Integration,"
Staff General Research Papers Archive
36496, Iowa State University, Department of Economics.
- Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching & Chu, Ron F. & Sun, Wei, 2013. "A Nash Approach to Planning Merchant Transmission for Renewable Resource Integration," ISU General Staff Papers 201301010800001469, Iowa State University, Department of Economics.
- Srinivasan, Dipti & Rajgarhia, Sanjana & Radhakrishnan, Bharat Menon & Sharma, Anurag & Khincha, H.P., 2017. "Game-Theory based dynamic pricing strategies for demand side management in smart grids," Energy, Elsevier, vol. 126(C), pages 132-143.
- Yu, Nanpeng & Tesfatsion, Leigh & Liu, Chen-Ching, 2012. "Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining Theory," ISU General Staff Papers 201201010800001470, Iowa State University, Department of Economics.
- Huang, Yu Wen & Kittner, Noah & Kammen, Daniel M., 2019. "ASEAN grid flexibility: Preparedness for grid integration of renewable energy," Energy Policy, Elsevier, vol. 128(C), pages 711-726.
- João Soares & Tiago Pinto & Fernando Lezama & Hugo Morais, 2018. "Survey on Complex Optimization and Simulation for the New Power Systems Paradigm," Complexity, Hindawi, vol. 2018, pages 1-32, August.
- Zhang, Xian & Chan, K.W. & Wang, Huaizhi & Hu, Jiefeng & Zhou, Bin & Zhang, Yan & Qiu, Jing, 2019. "Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations," Energy, Elsevier, vol. 176(C), pages 249-264.
- Han, Xiaojuan & Ji, Tianming & Zhao, Zekun & Zhang, Hao, 2015. "Economic evaluation of batteries planning in energy storage power stations for load shifting," Renewable Energy, Elsevier, vol. 78(C), pages 643-647.
- Kristiansen, Martin & Korpås, Magnus & Svendsen, Harald G., 2018. "A generic framework for power system flexibility analysis using cooperative game theory," Applied Energy, Elsevier, vol. 212(C), pages 223-232.
- Tengfei Ma & Junyong Wu & Liangliang Hao & Huaguang Yan & Dezhi Li, 2018. "A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach," Energies, MDPI, vol. 11(10), pages 1-19, October.
- Klessmann, Corinna & Held, Anne & Rathmann, Max & Ragwitz, Mario, 2011. "Status and perspectives of renewable energy policy and deployment in the European Union—What is needed to reach the 2020 targets?," Energy Policy, Elsevier, vol. 39(12), pages 7637-7657.
- Nian Wang & Jing Zhang & Yu He & Min Liu & Ying Zhang & Chaokuan Chen & Yerui Gu & Yongheng Ren, 2020. "Load-Frequency Control of Multi-Area Power System Based on the Improved Weighted Fruit Fly Optimization Algorithm," Energies, MDPI, vol. 13(2), pages 1-17, January.
- Su, Wencong & Huang, Alex Q., 2014. "A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers," Applied Energy, Elsevier, vol. 119(C), pages 341-350.
- Somi Jung & Dongwoo Kim, 2017. "Pareto-Efficient Capacity Planning for Residential Photovoltaic Generation and Energy Storage with Demand-Side Load Management," Energies, MDPI, vol. 10(4), pages 1-20, March.
- Arnob Ghosh & Vaneet Aggarwal, 2020. "Penalty Based Control Mechanism for Strategic Prosumers in a Distribution Network," Energies, MDPI, vol. 13(2), pages 1-14, January.
- Lo Prete, Chiara & Hobbs, Benjamin F., 2016. "A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets," Applied Energy, Elsevier, vol. 169(C), pages 524-541.
- Esteban, Miguel & Zhang, Qi & Utama, Agya, 2012. "Estimation of the energy storage requirement of a future 100% renewable energy system in Japan," Energy Policy, Elsevier, vol. 47(C), pages 22-31.
- Banez-Chicharro, Fernando & Olmos, Luis & Ramos, Andres & Latorre, Jesus M., 2017. "Beneficiaries of transmission expansion projects of an expansion plan: An Aumann-Shapley approach," Applied Energy, Elsevier, vol. 195(C), pages 382-401.
- Arezou Gholizad & Loza Ahmadi & Erfan Hassannayebi & Mehrdad Memarpour & Masoud Shakibayifar, 2017. "A System Dynamics Model for the Analysis of the Deregulation in Electricity Market," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 6(2), pages 1-30, April.
- Bohao Sun & Yong Tang & Lin Ye & Chaoyu Chen & Cihang Zhang & Wuzhi Zhong, 2018. "A Frequency Control Strategy Considering Large Scale Wind Power Cluster Integration Based on Distributed Model Predictive Control," Energies, MDPI, vol. 11(6), pages 1-19, June.
- Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
- Wang, Jianhui & Zhou, Zhi & Botterud, Audun, 2011. "An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand," Energy, Elsevier, vol. 36(5), pages 3459-3467.
- Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
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- Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Saad Mekhilef & Mehdi Seyedmahmoudian & Alex Stojcevski & Ibrahim Alhamrouni, 2024. "AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review," Sustainability, MDPI, vol. 16(12), pages 1-35, June.
- Yuly V. Garcia & Oscar Garzon & Carlos J. Delgado & Jan L. Diaz & Cesar A. Vega Penagos & Fabio Andrade & Adriana C. Luna & J. C. Hernandez, 2023. "Overview on Transactive Energy—Advantages and Challenges for Weak Power Grids," Energies, MDPI, vol. 16(12), pages 1-19, June.
- Marcel Clemens & Torsten Clemens, 2022. "Scenarios to Decarbonize Austria’s Energy Consumption and the Role of Underground Hydrogen Storage," Energies, MDPI, vol. 15(10), pages 1-23, May.
- Li, Ke & Ye, Ning & Li, Shuzhen & Wang, Haiyang & Zhang, Chenghui, 2023. "Distributed collaborative operation strategies in multi-agent integrated energy system considering integrated demand response based on game theory," Energy, Elsevier, vol. 273(C).
- Li, Xu & Deng, Jianhua & Liu, Jichun, 2024. "A two-layer and three-stage dynamic demand response game model considering the out of sync response for gases generators," Renewable Energy, Elsevier, vol. 228(C).
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- Filipe Bandeiras & Álvaro Gomes & Mário Gomes & Paulo Coelho, 2023. "Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities," Energies, MDPI, vol. 16(24), pages 1-42, December.
- Noppada Teera-achariyakul & Dulpichet Rerkpreedapong, 2022. "Optimal Preventive Maintenance Planning for Electric Power Distribution Systems Using Failure Rates and Game Theory," Energies, MDPI, vol. 15(14), pages 1-19, July.
- Gustavo Chica-Pedraza & Eduardo Mojica-Nava & Ernesto Cadena-Muñoz, 2021. "Boltzmann Distributed Replicator Dynamics: Population Games in a Microgrid Context," Games, MDPI, vol. 12(1), pages 1-18, January.
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Keywords
game theory; power systems; control; management; electrical grids; review; survey; energy balancing; energy trading; grid planning; expansion planning; electric vehicles; renewable energy; reliability;All these keywords.
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