Optimized Operation of Electricity Sales Companies Considering the Insurance Mechanism and User Demand Response

doi:10.12204/j.issn.1000-7229.2023.01.006

Abstract

Abstract:

The uncertainty of the electricity purchase and sale sides is the key factor restricting the operation of the electricity sales company. This paper uses the third-party insurance mechanism to avoid market fluctuations and demand response to improve returns, and puts forward an optimized operation model for electricity sales companies under the spot market. Firstly, the deviation assessment model and premium model are established, the deviation assessment model of the user limit penalty mechanism and demand response contract on the user utility in the bilateral long association contract are quantified, and the optimal operation model is verified with the data of local users. The example results show that the electricity sales company can guide the users to respond positively through the stepped demand response incentive mechanism; the introduced insurance mechanism can effectively disperse and transfer the risk of electricity fluctuation, and realize the win-win value between the electricity sales company and the users.

This work is supported by National Natural Science Foundation of China(No. 52077146).

Key words: demand response, user utility, market insurance, electricity sales company, deviation assessment

CLC Number:

TM76

WEN Qianhui, WEI Zhenbo, ZHANG Yonglin, LIANG Zheng, HE Yongxiang. Optimized Operation of Electricity Sales Companies Considering the Insurance Mechanism and User Demand Response[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 47-54.

Figures/Tables 6

Fig.1 Market structure including the insurance companies

Fig.2 DR ladder-incentive mechanism

Table 1 Optimization result of demand-response ladder-incentive mechanism

Fig.3 Optimal solution set of ladder-incentive

Fig.4 Relationship between demand response volume and the profit of the electricity sales company

Fig.5 Objective function value under different premiums

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