Optimal Community Energy Storage System Operation in a Multi-Power Consumer System: A Stackelberg Game Theory Approach

被引:0
|
作者
Lee, Gyeong Ho [1 ]
Lee, Junghyun [2 ]
Choi, Seong Gon [3 ]
Kim, Jangkyum [4 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Informat & Elect Res Inst, Daejeon 34141, South Korea
[2] Korea Adv Inst Sci & Technol KAIST, Sch Elect Engn, Daejeon 34051, South Korea
[3] Chungbuk Natl Univ, Sch Informat & Commun Engn, Cheongju 28644, South Korea
[4] Sejong Univ, Dept Artificial Intelligence & Data Sci, Seoul 05006, South Korea
基金
新加坡国家研究基金会;
关键词
community energy storage system; Stackelberg game model; optimization; energy management system; RENEWABLE ENERGY; DEMAND RESPONSE; OPTIMIZATION; MANAGEMENT;
D O I
10.3390/en17225683
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 proliferation of community energy storage systems (CESSs) necessitates effective energy management to address financial concerns. This paper presents an efficient energy management scheme for heterogeneous power consumers by analyzing various cost factors relevant to the power system. We propose an authority transaction model based on a multi-leader multi-follower Stackelberg game, demonstrating the existence of a unique Stackelberg equilibrium to determine optimal bidding prices and allocate authority transactions. Our model shows that implementing a CESS can reduce total electricity costs by 16% compared to the conventional case that does not account for authority transactions among CESS users, highlighting its effectiveness in practical power systems.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Optimal operation of distributed energy systems - a game theory based approach
    Henn, Sarah
    Welter, Sarah
    Osterhage, Tanja
    Mueller, Dirk
    PROCEEDINGS OF BUILDING SIMULATION 2021: 17TH CONFERENCE OF IBPSA, 2022, 17 : 605 - 612
  • [32] Optimal Sizing and Location of Energy Storage System in a Power System
    Martinez, Maximiliano
    Molina, Marcelo G.
    Mercado, Pedro E.
    2018 5TH INTERNATIONAL SYMPOSIUM ON ENVIRONMENT-FRIENDLY ENERGIES AND APPLICATIONS (EFEA), 2018,
  • [33] Deep Reinforcement Learning Based Optimal Energy Storage System Operation of Photovoltaic Power Stations With Energy Storage in Power Market
    Gong K.
    Wang X.
    Deng H.
    Jiang C.
    Ma J.
    Fang L.
    Dianwang Jishu/Power System Technology, 2022, 46 (09): : 3365 - 3375
  • [34] Optimal Operation of Autonomous Energy System Based on Multi-objective Approach
    Rodrigues, Paul
    Singh, Ashish
    Kaushik, Vikas
    Chohan, Jasgurpreet Singh
    Abdulrahman, Mustafa Adnan
    Hussein, Layth
    Romani, Y. S.
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2024, 16 (09): : 385 - 397
  • [35] Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage
    Yi Yan
    Chenghui Zhang
    Ke Li
    Xiaopeng Hai
    Science China Information Sciences, 2018, 61
  • [36] Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
    Bruno, Sergio
    Dicorato, Maria
    La Scala, Massimo
    Sbrizzai, Roberto
    Lombardi, Pio Alessandro
    Arendarski, Bartlomiej
    ENERGIES, 2019, 12 (17)
  • [37] Optimal Intraday Rolling Operation Strategy of Integrated Energy System with Multi-Storage
    Xu, Jieyan
    Chen, Zheng
    Hao, Tianyi
    Zhu, Shaojie
    Tang, Yu
    Liu, Haoming
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [38] Synergistic optimal operation for a combined cooling,heating and power system with hybrid energy storage
    Yi YAN
    Chenghui ZHANG
    Ke LI
    Xiaopeng HAI
    ScienceChina(InformationSciences), 2018, 61 (11) : 8 - 10
  • [39] Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage
    Yan, Yi
    Zhang, Chenghui
    Li, Ke
    Hai, Xiaopeng
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (11)
  • [40] Optimal Operation of Multiple Energy System Based on Multi-Objective Theory and Grey Theory
    Hu, Bo
    Wang, Nan
    Yu, Zaiming
    Cao, Yunqing
    Yang, Dongsheng
    Sun, Li
    ENERGIES, 2022, 15 (01)