Optimal scheduling considering typical day selection and source load flexibility adjustment

被引：0
|
作者：
Wang Y. [1 ,2 ]
Yang Y. [1 ]
Gao C. [3 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding
[2] Zhangjiakou Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Zhangjiakou
[3] Electric Power Development Research Institute, CEC Technical and Economic Consulting Center of Electric Power Construction, Beijing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 10期
基金：
中国国家自然科学基金;
关键词：
deep peak shaving; demand response; improved particle swarm optimization; new energy consumption; optimal dispatch; typical day selection;
D O I：
10.19783/j.cnki.pspc.230967
中图分类号：
学科分类号：
摘要：
This paper proposes an optimization scheduling model for power systems taking into account the flexibility of source load side regulation resource given the characteristics of peak shaving and the problem of new energy consumption faced by the power grids. First, an improved SSE-PFCM clustering algorithm is used to calculate the typical day of the load based on the characteristics of the load. Secondly, based on the different response behaviors of load users to electricity price changes, two types of loads with demand response potential are extracted. Fuzzy load transfer rate models and demand price elasticity models considering optimistic response membership degrees are constructed. Then, taking into account the demand response uncertainty model and the deep peak shaving of thermal power units, an optimal scheduling model is constructed with the objective of minimizing the overall operating cost of the system. An improved particle swarm optimization algorithm with the introduction of step size elasticity coefficient is used to analyze the problem. Finally, taking the improved IEEE 30-bus system as an example, simulation calculations are conducted with various scenarios, and the results show that the proposed strategy can effectively improve the renewable energy consumption capacity of the system and the economy of system operation. © 2024 Power System Protection and Control Press. All rights reserved.
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页码：1 / 10
页数：9
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