A prospect-theoretic game approach to demand response market participation through energy sharing in energy storage systems under uncertainty

被引:7
作者
Ryu, Jeseok [1 ]
Kim, Jinho [1 ]
机构
[1] GIST, Dept Energy Convergence, Gwangju 61005, South Korea
关键词
Demand response (DR); Energy storage system (ESS); Uncertainty; Non -cooperative game; Prospect theory; Energy sharing; MANAGEMENT; MODEL; OPTIMIZATION; CONSUMPTION;
D O I
10.1016/j.egyr.2022.12.016
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The Paris Agreement, which is carried out in a bottom-up manner, is giving great vitality to the transition to low-carbon energy system. Accordingly, as the spread of renewable energy increases, securing flexibility resources is emerging as a keyword in the power system and power market, and many studies on demand response (DR) and energy storage system (ESS) classified as demand-side flexible resources are being conducted. However, most of the studies on DR are on voluntary DR programs that participate through bidding among incentive-based DR or price-based DR programs, and ESS faced difficulties in its distribution due to low economic feasibility. Therefore, in this work, we propose a feasible process for participating in a reliability DR program that guarantees high profitability but involves high uncertainty, and non-cooperative game model is suggested to mitigate the uncertainty through surplus electricity-trading model of ESS. In addition, a subjective decisionmaking based on prospect theory is proposed to reflect the impact of the uncertainty about the incentive-based program's engagement. Case study results performed in an environment formed based on actual operation data of the Korean DR market prove that participants' uncertainty is mitigated when participating in the DR market through power trading of ESS through the proposed model. In addition, a small-scale ESS with an average benefit-cost ratio of 0.78 improves by up to 1.08 (1.04 with a standard scenario). (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1093 / 1103
页数:11
相关论文
共 47 条
[1]   A summary of demand response in electricity markets [J].
Albadi, M. H. ;
El-Saadany, E. F. .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (11) :1989-1996
[2]  
Cochran J., 2014, FLEXIBILITY 21 CENTU
[3]   Electrical Energy Storage for the Grid: A Battery of Choices [J].
Dunn, Bruce ;
Kamath, Haresh ;
Tarascon, Jean-Marie .
SCIENCE, 2011, 334 (6058) :928-935
[4]  
EIA, 2020, Battery storage in the united states: an update on market trends
[5]   Managing Price Uncertainty in Prosumer-Centric Energy Trading: A Prospect-Theoretic Stackelberg Game Approach [J].
El Rahi, Georges ;
Etesami, S. Rasoul ;
Saad, Walid ;
Mandayam, Narayan B. ;
Poor, H. Vincent .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) :702-713
[6]  
Energy market authority of Singapore, 2020, DEMAND SIDE MANAGEME
[7]   Game-theoretic approach to demand-side energy management for a smart neighbourhood in Sydney incorporating renewable resources [J].
Fernandez, Edstan ;
Hossain, M. J. ;
Nizami, M. S. H. .
APPLIED ENERGY, 2018, 232 :245-257
[8]   THE FOLK THEOREM IN REPEATED GAMES WITH DISCOUNTING OR WITH INCOMPLETE INFORMATION [J].
FUDENBERG, D ;
MASKIN, E .
ECONOMETRICA, 1986, 54 (03) :533-554
[9]  
Harsha P, 2011, IEEE DECIS CONTR P, P5813
[10]   Review on sustainable thermal energy storage technologies, part II: Cool thermal storage [J].
Hasnain, SM .
ENERGY CONVERSION AND MANAGEMENT, 1998, 39 (11) :1139-1153