Research on the strategies of electricity retailers: Retail plan design and reserve market participation

被引:0
作者
Ming, Hao [1 ]
Zhang, Kairui [1 ]
Gao, Ciwei [1 ]
Yu, Jie [1 ]
Yan, Xingyu [1 ]
Xie, Boyuan [2 ]
机构
[1] Southeast Univ, Dept Elect Engn, Nanjing 210096, Peoples R China
[2] Univ Washington, Paul Allen Ctr, Dept Elect & Comp Engn, 185 Stevens Way NE AE100R, Seattle, WA 98195 USA
关键词
Retail plan; Reserve market; Bidding strategies; Interruptible load; Bounded rationality; PROSPECT-THEORY; GAME;
D O I
10.1016/j.ijepes.2024.110232
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The high penetration of the renewables makes the power grid operation less reliable and risky. Demand Response programs can provide flexible capacity to alleviate the operational pressure. In a typical competitive retail market, the electricity retailer can incentivize the consumers to provide demand reduction in the reserve market and obtain additional profit from the grid. In the wholesale and reserve market, the participants receive a twopart income of certain revenue and activation revenue. In this paper, the optimal strategy of the electricity retailers is studied, including two proposed retail plans as well as the retailer's bidding strategy in the wholesale reserve market. The proposed strategy is proven effective through a case study, demonstrating that introducing incentive-based demand response in the retail plan creates a win-win-win situation for the grid, retailers, and consumers. The experiment demonstrates that competitive bundles can generate at least 22 % additional revenue for retailers, while customized bundles can bring in an additional 23 % revenue for retailers and contribute to the system with an extra 9 % in reserve capacity bidding.
引用
收藏
页数:11
相关论文
共 45 条
[1]   Dynamic planning of Power-to-Gas integrated energy hub considering demand response programs and future market conditions [J].
Alizad, Ehsan ;
Rastegar, Hasan ;
Hasanzad, Fardin .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 143
[2]  
[Anonymous], 2018, Business Practice Manual for Market Operations
[3]   Real time optimal interruptible tariff mechanism incorporating utility-customer interactions [J].
Bhattacharya, K ;
Bollen, MHJ ;
Daalder, JE .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (02) :700-706
[4]   Retail competition in electricity markets [J].
Defeuilley, Christophe .
ENERGY POLICY, 2009, 37 (02) :377-386
[5]  
DeMaris A., 1992, LOGIT MODELING PRACT
[6]   Integrated Bidding and Operating Strategies for Wind-Storage Systems [J].
Ding, Huajie ;
Pinson, Pierre ;
Hu, Zechun ;
Song, Yonghua .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (01) :163-172
[7]   A Stochastic Decision-Making Model for an Electricity Retailer With Intermittent Renewable Energy and Short-Term Demand Response [J].
do Prado, Josue Campos ;
Qiao, Wei .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (03) :2581-2592
[8]   A multi-stage stochastic programming model for the unit commitment of conventional and virtual power plants bidding in the day-ahead and ancillary services markets [J].
Fusco, Andrea ;
Gioffre, Domenico ;
Castelli, Alessandro Francesco ;
Bovo, Cristian ;
Martelli, Emanuele .
APPLIED ENERGY, 2023, 336
[9]   Bounded Rationality Based Multi-VPP Trading in Local Energy Markets: A Dynamic Game Approach with Different Trading Targets [J].
Gao, Hongjun ;
Zhang, Fan ;
Xiang, Yingmeng ;
Ye, Shengyong ;
Liu, Xuna ;
Liu, Junyong .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (01) :221-234
[10]  
Gao Y, 2019, Smart Power Distribution Systems, P467