摘要
近年来,风光等分布式电源(distributed generation,DG)的大规模并网运行给主动配电网无功优化带来新挑战。首先,在对分布式电源无功调控特性进行分析的基础上,针对配电网单相、三相混杂的情况,文中分别建立了考虑三相平衡与不平衡情况下计及DG无功支撑能力的配电网无功优化模型。其次,在蜉蝣算法的基础上,利用Sobol序列生成超均匀分布的初始蜉蝣种群提高算法收敛性;引入自适应重力系数合理化搜索机制和基因突变以增加种群多样性;同时调整越界约束策略以减少无效计算,提出一种改进蜉蝣算法(improvedmayflyalgorithm,IMA)用于求解含DG的配电网无功优化问题,并给出具体的无功优化流程。最后,通过对改进后的IEEE 33节点和三相IEEE 33节点配电系统进行测试,验证IMA较于其他智能算法在无功优化计算中的优越性。结果表明所提模型和算法能够有效降低配网的有功网损和三相不平衡度,提高各节点的电压水平。
In recent years,the large-scale grid connected operation of distributed generation(DG)brings new challenges to the reactive power optimization of active distribution network.Firstly,based on the analysis of the reactive power regulation characteristics of the distributed power supply and in view of the single phase and three phase of distribution network,the reactive power optimization models of distribution network considering the three-phase balance and unbalance as well as considering the DG reactive power support capability are set up respectively.Secondly,on the basis of the mayfly algorithm,the superuniformly initial mayfly population,which is generated by the Sobol sequence,is used to improve the convergence of the algorithm.The adaptive gravity coefficient rationalization search mechanism and gene mutation are introduced to increase population diversity.At the same time,the cross boundary constraint strategy is adjusted so to reduce the invalid calculation.A kind of improved mayfly algorithm(IMA)is proposed to solve the reactive power optimization problem of distribution network with DG,and the specific reactive power optimization application design process is given.Finally,the improved IEEE 33 node and three-phase IEEE 33 node distribution system are tested to verify the superiority of IMA in reactive power optimi-zation compared with other intelligent algorithms.The results show that the proposed model and algorithm can effectively reduce the loss of active power network and three-phase unbalance of distribution network,and improve the voltage level of each node as well.
作者
盛四清
傅德帅
SHENG Siqing;FU Deshuai(North China Electric Power University,School of Electrical and Electronics,Hebei Baoding 071000,China)
出处
《电力电容器与无功补偿》
2023年第3期8-17,共10页
Power Capacitor & Reactive Power Compensation
关键词
分布式发电
配电网
三相不平衡
蜉蝣算法
无功优化
distributed generation
distribution network
three-phase unbalance
mayfly algorithm
reactive power optimization
