Optimization Performance and Efficiency Improvement of Microgrid Scheduling Model

doi:10.11930/j.issn.1004-9649.202212028

Abstract

Abstract: For the optimal management of microgrid, this paper proposes a microgrid optimal scheduling strategy based on adaptive hybrid differential evolution algorithm. First of all, considering the cost of electricity charges, the cost of energy storage regulation, the user’s inappropriate cost and the benefit of response subsidies, an optimization model with the goal of minimizing the daily comprehensive power consumption cost is established; Then, aiming at the problem that the global optimization ability of the standard differential evolution algorithm is insufficient and the solution efficiency needs to be improved, the scaling factor and crossover operator are optimized and improved to form an adaptive hybrid differential evolution algorithm; Finally, taking the micro grid system as an example, the operation optimization of energy storage and demand response and the comparative analysis of calculation examples are carried out.The results show that the proposed method is suitable for multi scenario computing and has high optimization performance and solving efficiency.

Key words: microgrid, demand response, comprehensive electricity cost, adaptive hybrid differential evolution algorithm

JIA Honggang, WANG Zhuding, YUE Yuanyuan, YAN Huan, YAN Na, CAO Qiangfei. Optimization Performance and Efficiency Improvement of Microgrid Scheduling Model[J]. Electric Power, 2023, 56(6): 107-113,131.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202212028

https://www.electricpower.com.cn/EN/Y2023/V56/I6/107

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