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作 者:段力伟 杨超 DUAN Liwei;YANG Chao(School of Electrical Information,Wuhan Institute of Technology,Wuhan 430205,China)
机构地区:[1]武汉工程大学电气信息学院,湖北武汉430205
出 处:《电气应用》2025年第4期96-105,共10页Electrotechnical Application
摘 要:为平抑工业园区内分布式光伏大规模并网带来的冲击,缓解源荷不平衡问题,提出微型抽水蓄能电站与光伏系统的多能互补运行模式,并在备选地址下对分布式抽水蓄能进行最优选址定容。首先,利用K-means聚类算法结合Kullback-Leibler(KL)散度构建光伏特征场景下的不确定性集合。其次,构建抽水蓄能的双层规划容量配置模型,上层考虑抽水蓄能综合投资成本,下层考虑综合运行成本及最小碳排放量,并结合配电网分时电价机制,对工业园区中典型场景下的可调负荷进行优化。再次,采用改进后的粒子群优化算法求解模型上层,下层采用Cplex商业优化包优化抽水蓄能的运行。最后,利用改进的IEEE33节点测试系统进行仿真,结果表明所提方法能够使系统获得更好的经济与环保效益。In order to suppress the impact of large-scale grid-connected distributed photovoltaics in industrial parks and alleviate the adjustment of source-load imbalance,this paper proposes a multi-energy complementary operation mode of micro pumped storage power stations and photovoltaic systems,and optimizes the location and capacity of distributed pumped storage under alternative addresses.Firstly,the K-means clustering algorithm combined with Kullback-Leibler(KL)divergence is used to construct the uncertainty set in the photovoltaic feature scene.Secondly,a bi-level programming capacity allocation model for pumping and storage is constructed.The upper level considers the comprehensive investment cost of pumping and storage,and the lower level considers the comprehensive operation cost and the minimum carbon emission.Combined with the time-of-use electricity price characteristics of the distribution network,the adjustable load of typical scenarios in the industrial park is improved.Then,the improved particle swarm optimization algorithm is used to solve the upper layer of the model,and the lower layer uses the Cplex commercial optimization package to optimize the operation of pumping and storage.Finally,the improved IEEE33 node test system is used for simulation.The results show that the proposed method can make the system have better economic and environmental benefits.
关 键 词:微型抽水蓄能电站 不确定性 双层规划 容量配置 可调负荷
分 类 号:TM73[电气工程—电力系统及自动化]
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