Operation Strategy of Regional Integrated Energy Service Providers Applying Master-Slave Game

doi:10.12204/j.issn.1000-7229.2021.01.002

Abstract

Abstract:

With the continuous advancement of power system transformation, the regional integrated energy service provider (RIESP) has changed from a traditional top-down monopoly model without competition to a multi-party competition model. This paper comprehensively considers power generation cost of RIESP and user purchase satisfaction, and proposes a RIESP operation strategy model based on master-slave game. Firstly, the basic structure of RIESP and the two-step decision-making mechanism are introduced, and a master-slave game model is established, in which the maximum profit of RIESP is the leader objective function and the maximum user consumption surplus is the follower objective function. Then, the existence and uniqueness of the Stackelberg equilibrium solution of the model are proved, and the DE-PSO hybrid algorithm is used to solve it. Finally, through simulation examples, the effectiveness of the strategy proposed in this paper is verified, and both the revenue of RIESP and the surplus of user consumption are improved.

Key words: regional integrated energy service provider(RIESP), operation strategy, two-step decision-making, master-slave game

CLC Number:

TM711

LI Dongdong, ZHOU Guanting, LI Kuanhong, LIN Shunfu, DUAN Weiyi, SHEN Yunwei. Operation Strategy of Regional Integrated Energy Service Providers Applying Master-Slave Game[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(1): 10-10.

Figures/Tables 10

Fig.1 Energy flow of the regional integrated energy system

Fig.2 Operational structure of RIESP

Fig.3 Algorithm flow of DE-PSO

Fig.4 Purchase price of electricity and natural gas for RIESP

Fig.5 Holt-winter prediction data graph

Fig.6 Iterative convergence curve

Fig.7 RIESP power-sales strategy and equipment operation status

Fig.8 User power-consumption strategy and load adjustment curve

Fig.9 RIESP power-sales strategy and equipment operation status (without P2G and storage)

Fig.10 User power-consumption strategy and load adjustment curve (without P2G and storage)

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