多谐波源接入的城市配电网SAPF优化配置方法OACSTPCD
SAPF Optimization Allocation Method for Urban Distribution Network with Multiple Harmonic Sources
针对分布式光伏和电动汽车充电设施等新谐波源渗透率高及分散接入造成的城市配电网谐波污染分散化与全网化问题,构建一种兼顾配电网谐波治理成本与治理成效的并联型有源电力滤波器选址定容双层优化模型.首先,外、内层模型分别以配电网谐波治理成本最小和电压畸变率最低为目标函数;然后,采用粒子群优化算法和遗传算法分别求解,实现配电网谐波治理效益最高的目标;最后,选取IEEE 33 节点系统进行仿真,验证了所建模型对配电网谐波治理装置优化配置的有效性.
To solve the problem of decentralized and whole-grid harmonic pollution in urban distribution network caused by the high permeability and decentralized access of new harmonic sources such as distributed photovoltaic and EV charging facilities,a two-layer location and capacity optimization model for shunt active power filter(SAPF)is es-tablished in this paper with the consideration of cost and effectiveness of harmonic control within the distribution net-work.The outer-and inner-layer models set the minimum harmonic control cost and minimum voltage distortion rate as their separate objective functions,and they are further solved by the particle swarm optimization algorithm and genetic algorithm respectively,thus realizing the highest efficiency of harmonic control in distribution network.Finally,an IEEE 33-node system is selected to verify the effectiveness of the proposed model for the optimal allocation of harmonic control devices in distribution network.
肖朝霞;张世荣;马占军;常之良;曹家宁;徐瑞
天津工业大学电气工程学院,天津 300387天津工业大学控制科学与工程学院,天津 300387国网天津市电力公司东丽供电公司,天津 300300
动力与电气工程
分散谐波源并联有源电力滤波器双层优化模型粒子群优化算法遗传算法
decentralized harmonic sourcesshunt active power filter(SAPF)double-layer optimization modelparti-cle swarm optimization algorithmgenetic algorithm
《电力系统及其自动化学报》 2024 (001)
1-9 / 9
国家自然科学基金项目:(51977149);国家重点研发计划项目(2023YFE0198100)
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