风光-储电-抽水蓄能系统多目标优化设计  

Multi-objective optimization design of wind-photovoltaic-electricity storage-pumped storage system

作　　者：李征[1] 李剑峰[1] 王文宾[1] 郑永强[1] 范曾 LI Zheng;LI Jianfeng;WANG Wenbin;ZHENG Yongqiang;FAN Zeng(State Grid Xingtai Power Supply Company,Xingtai 0540011,Hebei Province,China)

机构地区：[1]国网邢台供电公司,河北邢台0540011

出　　处：《化学工程》2023年第10期24-29,35,共7页Chemical Engineering(China)

基　　金：国家电网有限公司科技项目(kj2021-068)。

摘　　要：大规模、高比例的可再生能源和储能的结合是实现碳中和的有效途径,因此,可再生能源和储能的合理配置显得尤为重要。首先,提出包含风光-储电-抽水蓄能的混合能源系统,建模时考虑了设备实际运行的约束。其次,构建多目标优化模型,采用NSGA-Ⅱ算法和TOPSIS方法求解,旨在提高系统的环保性、经济性、稳定性。最后,对此系统和光-储电-抽水蓄能、风-储电-抽水蓄能、风光-抽水蓄能、风光-储电4个系统展开了关于性能、配置和运行特性的对比。结果表明:风光-储电-抽水蓄能系统促进了可再生能源的消纳,减少了单类型储能的配置需求,碳排放、年值成本、电网交互相对于其他4个系统分别最多减少了55.7%,6.3%,50.0%,并且负荷损失概率最低,为28.7%。The combination of large-scale and high-proportion renewable energy and energy storage is an effective way to achieve carbon neutrality.Therefore,the rational configuration of renewable energy and energy storage is particularly important.A hybrid energy system of wind-photovoltaic-electricity storage-pumped storage is first proposed,and constraints of actual equipment operation are considered in modeling.Secondly,the multi-objective collaborative optimization model is constructed and solved by NSGA-Ⅱalgorithm and TOPSIS method,aiming to improve the environment,economy and stability of the system.Finally,the performance,configuration and operation characteristics of the system are compared with four systems of photovoltaic-electricity storage-pumped storage,wind-electricity storage-pumped storage,wind-photovoltaic-pumped storage,and wind-photovoltaic-electricity storage.The results show that the wind-photovoltaic-electricity storage-pumped storage system promotes the consumption of renewable energy,and reduces the configuration demand of single-type energy storage.Carbon emissions,annual total cost,and grid interaction are reduced by up to 55.7%,6.3%and 50.0%,respectively,compared with the other four systems,and the load loss probability is the lowest at 28.7%.

关 键 词：可再生能源 抽水蓄能 多目标优化 碳排放 

分 类 号：TK02[动力工程及工程热物理]