摘要
加快构建以新能源为主体的新型电力系统是全球能源发展趋势,也是能源高质量发展的必然选择。选取大渡河瀑深枕水风光清洁能源互补基地作为研究对象,以源荷匹配度最大和清洁能源总发电量最大为目标构建水风光日内优化调度模型,通过分层解耦降低模型复杂度,分别采用基于Sigmoid函数的PSO算法和MSPOA算法进行求解。研究结果表明,梯级水电的调蓄能力能够有效平抑风光出力波动,为电网提供稳定的高质量电力。研究对于促进建设瀑布沟清洁能源基地建设,消纳周边风光资源具有指导价值,有利于我国能源持续健康发展。
Accelerating construction of the new energy-based power system is a global energy development trend and the inevitable choice for high-quality energy development.In this study,the clean energy base on the Dadu River is selected as the research object,and the short-term optimal dispatch model of hydro-wind-photovoltaic is constructed with the objectives of maximum output-load matching and maximum total clean energy generation,and the complexity of the model is reduced by decoupling in layers.The PSO based on Sigmoid function and MSPOA are used to solve the model respectively.The results of the study show that the storage capacity of the cascade hydropower can effectively smooth the fluctuation of wind and photovoltaic output and provide stable and high quality power to the grid.This study has a guiding value for promoting the construction of Pubugou clean energy base and consuming surrounding wind and photovoltaic resources,which is conducive to the sustainable and healthy development of energy in China.
作者
周业荣
杨悦
马光文
陈仕军
黄炜斌
朱燕梅
ZHOU Yerong;YANG Yue;MA Guangwen;CHEN Shijun;HUANG Weibin;ZHU Yanmei(School of Water Resource and Hydropower,Sichuan University,Chengdu 610065,Sichuan,China;Guoneng Dadu River Hydropower Development Co.,Ltd.,Chengdu 610041,Sichuan,China)
出处
《电网与清洁能源》
CSCD
北大核心
2023年第12期130-140,147,共12页
Power System and Clean Energy
基金
四川省科技计划资助项目(2022YFG0292)。
关键词
源荷匹配
互补发电
优化调度
清洁能源
发电量最大化
output-load matching
complementary power generation
optimal dispatch
clean energy
maximization of power generation
