基于源荷场景生成风光抽水蓄能联合系统优化调度  

Optimal Scheduling of Wind-Photovoltaic-Pumped Storage Integrated Generation System Based on Output-Load Scenarios Generation

作　　者：李晓英[1] 袁瑶 刘翔宇 翁志明 LI Xiaoying;YUAN Yao;LIU Xiangyu;WENG Zhiming(College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210024,Jiangsu,China)

机构地区：[1]河海大学水利水电学院,江苏南京210024

出　　处：《水力发电》2025年第4期91-96,共6页Water Power

基　　金：国家自然科学基金资助项目(52279013)。

摘　　要：风电-光伏-抽水蓄能电站联合发电系统是提升风光并网电力系统稳定性和促进新能源消纳的有效手段。研究采用Copula函数模拟风电和光伏发电的预测出力场景,并利用拉丁超立方抽样法生成电力系统的负荷需求预测场景。通过K-means算法对风光发电和电力系统负荷需求的预测场景进行聚类分析,以联合发电系统入网功率与电力系统负荷需求偏差最小化为目标,构建了一个基于源荷场景生成的联合发电系统优化调度模型。采用集成领导策略和柯西变异策略的黑翅鸢优化算法(BKA)来模拟并优化联合发电系统的调度方案。案例分析表明,在配置抽水蓄能电站并采用BKA优化的情况下,联合发电系统入网功率能够较好地匹配电力系统的负荷需求,功率偏差由风光系统的490 MW降低至30 MW,同时新能源的消纳能力显著提高,日累计弃电功率由5218 MW降低至605 MW,验证了模型的可行性和有效性以及算法的适用性。Wind-photovoltaic-pumped storage integrated generation system is an effective measure to improve the stability of wind-photovoltaic integrated power system and promote the consumption of new energy.The model employs the Copula function to simulate wind and photovoltaic forecast output scenarios,and the Latin hypercube sampling method to generate power system load demand forecast scenarios.The K-means clustering algorithm is used to cluster the number of wind-photovoltaic and power system load demand scenarios.By minimizing the fluctuations between the integrated system's grid power and the power system's load demand as objective,an optimal scheduling model for the integrated generation system based on output-load scenario generation is constructed.The Black-winged Kite Optimization Algorithm(BKA),which integrates leader strategy and Cauchy mutation strategy,is used to simulate the operation scheme of the integrated power generation system during the scheduling period.The case study result shows that,when configuring a pumped-storage station for the wind-photovoltaic system and optimizing the combined power system with BKA,the grid power of integrated power generation system can better follow the power system load demand forecast and the power fluctuation is reduced from 490 MW in the wind-photovoltaic system to 30 MW,and the ability to utilize renewable energy is significantly enhanced and the daily cumulative abandoned power is reduced from 5218 MW to 605 MW,which verifies the feasibility and effectiveness of the model and the applicability of the algorithm.

关 键 词：风电-光伏-抽水蓄能联合发电系统 优化调度 风光消纳 场景生成 黑翅鸢优化算法 日累计弃电功率 

分 类 号：TM715[电气工程—电力系统及自动化]