电力系统保护与控制2024，Vol.52Issue(10)：1-10,10.DOI:10.19783/j.cnki.pspc.230967
计及典型日选取与源荷灵活性调节的优化调度研究
Optimal scheduling considering typical day selection and source load flexibility adjustment
摘要
Abstract
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.关键词
新能源消纳/优化调度/典型日选取/需求响应/深度调峰/改进粒子群优化Key words
new energy consumption/optimal dispatch/typical day selection/demand response/deep peak shaving/improved particle swarm optimization引用本文复制引用
王译旋,杨用春,高长征..计及典型日选取与源荷灵活性调节的优化调度研究[J].电力系统保护与控制,2024,52(10):1-10,10.基金项目
This work is supported by the National Natural Science Foundation of China(No.51607168). 国家自然科学基金项目资助(51607168) （No.51607168）
中央高校基本科研业务费项目资助(2021MS068) （2021MS068）
