A comparison study on trading behavior and profit distribution in local energy transaction games

Applied Energy - Tập 280 - Trang 115941 - 2020
Yang Chen1, Byungkwon Park2, Xiao Kou3, Mengqi Hu4, Jin Dong5, Fangxing Li3, Kadir Amasyali2, Mohammed Olama2
1Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
2Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
3Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA
4Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, USA
5Energy and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA

Tài liệu tham khảo

U.S. Energy Information Administration, Annual Energy Outlook 2020 (with projections to 2050). Tech. rep; 2020.

Chen, 2016, Balancing collective and individual interests in transactive energy management of interconnected micro-grid clusters, Energy, 109, 1075, 10.1016/j.energy.2016.05.052

Nikmehr, 2017, Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty, Appl Energy, 198, 267, 10.1016/j.apenergy.2017.04.071

Cooperative Games with Transferable Utility, Springer Berlin Heidelberg, Berlin, Heidelberg; 2008. p. 121–131. doi:10.1007/978-3-540-69291-1_9.

Rezaee, 2015, Using shapley value in multi-objective data envelopment analysis: Power plants evaluation with multiple frontiers, Int J Electr Power Energy Syst, 69, 141, 10.1016/j.ijepes.2015.01.012

Mei, 2019, Coalitional game theory based local power exchange algorithm for networked microgrids, Appl Energy, 239, 133, 10.1016/j.apenergy.2019.01.208

Guajardo, 2015, Common mistakes in computing the nucleolus, Eur J Oper Res, 241, 931, 10.1016/j.ejor.2014.10.037

Dabbagh, 2015, Risk-based profit allocation to ders integrated with a virtual power plant using cooperative game theory, Electric Power Syst Res, 121, 368, 10.1016/j.epsr.2014.11.025

Han, 2019, Incentivizing prosumer coalitions with energy management using cooperative game theory, IEEE Trans Power Syst, 34, 303, 10.1109/TPWRS.2018.2858540

Wang, 2018, Incentivizing energy trading for interconnected microgrids, IEEE Trans Smart Grid, 9, 2647, 10.1109/TSG.2016.2614988

Wang, 2019, Incentivizing distributed energy resource aggregation in energy and capacity markets: An energy sharing scheme and mechanism design, Appl Energy, 252, 113471, 10.1016/j.apenergy.2019.113471

Yu, 2017, Nash bargaining solutions for international climate agreements under different sets of bargaining weights, Int Environ Agreem: Polit, Law Econ, 17, 709, 10.1007/s10784-017-9351-3

Tushar, 2019, A motivational game-theoretic approach for peer-to-peer energy trading in the smart grid, Appl Energy, 243, 10, 10.1016/j.apenergy.2019.03.111

Morstyn, 2018, Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants, Nat Energy, 3, 94, 10.1038/s41560-017-0075-y

Yang, 2013, A game-theoretic approach for optimal time-of-use electricity pricing, IEEE Trans Power Syst, 28, 884, 10.1109/TPWRS.2012.2207134

Razmara, 2018, Bilevel optimization framework for smart building-to-grid systems, IEEE Trans Smart Grid, 9, 582, 10.1109/TSG.2016.2557334

Chen, 2018, Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems, Appl Energy, 230, 403, 10.1016/j.apenergy.2018.08.112

Jadhav, 2019, A novel approach to neighborhood fair energy trading in a distribution network of multiple microgrid clusters, IEEE Trans Industr Electron, 66, 1520, 10.1109/TIE.2018.2815945

Cui, 2019, Peer-to-peer energy sharing among smart energy buildings by distributed transaction, IEEE Trans Smart Grid, 10, 6491, 10.1109/TSG.2019.2906059

Motalleb, 2017, Non-cooperative game-theoretic model of demand response aggregator competition for selling stored energy in storage devices, Appl Energy, 202, 581, 10.1016/j.apenergy.2017.05.186

Kicsiny, 2014, Backward induction algorithm for a class of closed-loop stackelberg games, Eur J Oper Res, 237, 1021, 10.1016/j.ejor.2014.02.057

Bahramara, 2016, A bi-level optimization model for operation of distribution networks with micro-grids, Int J Electr Power Energy Syst, 82, 169, 10.1016/j.ijepes.2016.03.015

Dempe, 2019, Solution of bilevel optimization problems using the kkt approach, Optimization, 68, 1471, 10.1080/02331934.2019.1581192

Mohammadi, 2019, Market-based customer reliability provision in distribution systems based on game theory: A bi-level optimization approach, IEEE Trans Smart Grid, 10, 3840, 10.1109/TSG.2018.2839598

Mak, 2020, Privacy-preserving power system obfuscation: A bilevel optimization approach, IEEE Trans Power Syst, 35, 1627, 10.1109/TPWRS.2019.2945069

Cui, 2019, A two-stage robust energy sharing management for prosumer microgrid, IEEE Trans Industr Inf, 15, 2741, 10.1109/TII.2018.2867878

Fleischhacker, 2019, Sharing Solar PV and Energy Storage in Apartment Buildings: Resource Allocation and Pricing, IEEE Trans Smart Grid, 10, 3963, 10.1109/TSG.2018.2844877

Cornélusse, 2019, A community microgrid architecture with an internal local market, Appl Energy, 242, 547, 10.1016/j.apenergy.2019.03.109

Paudel, 2019, Peer-to-peer energy trading in a prosumer-based community microgrid: A game-theoretic model, IEEE Trans Industr Electron, 66, 6087, 10.1109/TIE.2018.2874578

Xiao, 2020, Transactive energy based aggregation of prosumers as a retailer, IEEE Trans Smart Grid, 1, 10.1109/TSG.2020.3026014

Chen, 2018, A swarm intelligence based distributed decision approach for transactive operation of networked building clusters, Energy Build, 169, 172, 10.1016/j.enbuild.2018.03.047

Wang, 2020, Distributed energy trading for an integrated energy system and electric vehicle charging stations: A nash bargaining game approach, Renew Energy, 155, 513, 10.1016/j.renene.2020.03.006

Berend, 2010, Improved bounds on bell numbers and on moments of sums of random variables, Probabil Math Stat, 30, 185