基于分时电价和用户侧储能的配电网调度优化策略

doi:10.16180/j.cnki.issn1007-7820.2023.02.002

Abstract

Abstract:

In view of the problem of loss increase of distribution network caused by the access of distributed power and the fluctuation of load, this study proposes an optimal operation model that integrates the time-of-use electricity price mechanism with user-side energy storage to participate in the distribution network. Based on the time-of-use electricity price, a user load response model is established, and a distribution network operation optimization model is constructed with the user's daily electricity cost and the minimum distribution network loss as the objective function. The evaluation function method is used to convert multiple objectives into single objectives, and the simulated annealing Metropolis criterion is introduced into the traditional genetic algorithm to optimize the charging and discharging strategy of the user-side energy storage. The simulation results prove that the proposed strategy can effectively reduce the power loss of the distribution network and the cost of user electricity, which verifies that proposed algorithm has a faster optimization speed and better convergence performance.

Key words: distributed generation, demand response, time-of-use price, user side energy storage, distribution network optimization, evaluation function method, genetic algorithm, simulated annealing algorithm

CLC Number:

TP18

WANG Yumei,WANG Lulu. Distribution Network Dispatching Optimization Strategy Energy Storage Based on Time-of-Use Electricity Price and User-Side[J].Electronic Science and Technology, 2023, 36(2): 7-12.

Figures/Tables 8

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References 20

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场景	用户日用电成本/元	配电网网损/kW
场景1	3 617.55	1 958.15
场景2	3 331.78	1 777.71
场景3	3 018.89	1 637.55
场景4	3 017.55	1 590.75

Distribution Network Dispatching Optimization Strategy Energy Storage Based on Time-of-Use Electricity Price and User-Side

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