热力发电2024，Vol.53Issue(10)：41-49,9.DOI:10.19666/j.rlfd.202406141
光热-风力联合发电系统储热容量双层优化配置研究
Double-layer optimal allocation of heat storage capacity in combined solar thermal-wind power generation system
摘要
Abstract
Wind power generation and solar thermal power generation have complementary advantages in terms of time characteristics,and the heat storage system equipped with solar thermal power station can effectively alleviate the peak regulation pressure and improve the wind power absorption capacity.On this basis,a solar thermal-wind combined power generation system is proposed.The Latin hypercube sampling method is used to effectively reduce the uncertainty of wind power output and solar irradiation intensity.Then,a two-stage double-layer optimal allocation method is proposed to rationally allocate the heat storage capacity.The upper layer model aims to minimize the investment cost of comprehensive operation of the system and the lowest curtailment of the system.The optimal heat storage capacity is determined by a fuzzy multi-attribute decision scheme.In the lower layer model,the operation is optimized with the goal of maximizing the net benefit of the cogeneration system in the scenario.The results show that the optimal heat storage capacity of the heat storage system of the solar thermal power station is 906 MW·h,and the comprehensive operating cost for the optimal heat storage capacity configuration is 2 430 000 yuan.Through the comparison between the results of different scenarios,the curtailment of the system with this configuration method reduces by 69.615 MW,and the net revenue of the system increases by 7.7%.关键词
光热电站/不确定性/联合发电系统/最优储热容量/双层优化Key words
solar thermal power station/uncertainty/combined power generation system/optimal heat storage capacity/two-layer optimization引用本文复制引用
祁延明,马山刚,金福宝,周登涛,张强,谢佳雯..光热-风力联合发电系统储热容量双层优化配置研究[J].热力发电,2024,53(10):41-49,9.基金项目
国家自然科学基金项目(51865049) （51865049）
青海省光伏发电并网技术重点实验室课题项目(SGQHJY00NYJS2310220) National Natural Science Foundation of China(51865049) （SGQHJY00NYJS2310220）
Project of Qinghai Provincial Key Laboratory of Photovoltaic Power Generation Grid-connected Technology(SGQHJY00NYJS2310220) （SGQHJY00NYJS2310220）
