含分布式电源三相不平衡配电网供电能力评估
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  • 英文篇名:Evaluation on Power Supply Ability of Unbalanced Three-phase Distribution Network with Three-phase Unbalance of Distributed Generation
  • 作者:黄兵 ; 赵晋泉 ; 朱斌 ; 苏大威
  • 英文作者:HUANG Bing;ZHAO Jinquan;ZHU Bin;SU Dawei;Research Center for Renewable Energy Generation Engineering,Ministry of Education(Hohai University);State Grid Jiangsu Electric Power Co.,Ltd.;
  • 关键词:配电网 ; 分布式电源 ; 三相不平衡 ; 供电能力 ; 量子粒子群优化算法
  • 英文关键词:power distribution network;;distributed generation;;three-phase unbalance;;power supply ability;;quantum-behaved particle swarm optimization algorithm
  • 中文刊名:GDDL
  • 英文刊名:Guangdong Electric Power
  • 机构:可再生能源发电技术教育部工程研究中心(河海大学);国网江苏省电力有限公司;
  • 出版日期:2018-07-09 17:08
  • 出版单位:广东电力
  • 年:2018
  • 期:v.31;No.244
  • 基金:国家自然科学基金项目(51577049)
  • 语种:中文;
  • 页:GDDL201806021
  • 页数:7
  • CN:06
  • ISSN:44-1420/TM
  • 分类号:126-132
摘要
随着分布式电源特别是光伏等间歇式电源的接入,配电网固有的三相不平衡特征更加突出,基于此探究了含分布式电源的三相不平衡的配电网供电能力评估方法。首先,提出一种含多种分布式电源三相不平衡配电网供电能力评估模型,该模型以配电网供电负荷最大为目标,同时考虑负荷增长功率因数和节点三相电压不平衡度等约束条件;其次,基于量子粒子群优化算法求解配电网供电能力问题,通过量子位的概率幅对连续和离散粒子进行编码,再采用量子旋转门实现连续粒子的更新和取整法实现离散粒子的更新以提高搜索精度,并利用量子与非门实现粒子的变异以避免早熟现象,进而提高算法的全局搜索能力和寻优效率;最后,结合修正的IEEE-33节点三相不平衡配电网对配电网供电能力评估进行算例仿真。算例结果证明了所提模型和方法的有效性。
        With connection of distributed generations(DGs)especially connection of those intermittent DGs such as photovoltaic(PV),inherent feature of three-phase unbalance of the power distribution network has become more and more prominent.Therefore,this paper discusses the evaluation method for power supply ability of the power distribution network with three-phase unbalance of DG.It firstly presents a kind of evaluation method for power supply ability of the distribution network with multiple three-phase unbalance of DGs which aims at the maximum of power supply load of the distribution network and considers constraint conditions such as load growth power factors and three-phase unbalance degree of the node at the same time.Secondly,it solves the problem of power supply ability of the power distribution network based on the quantum-behaved particle swarm optimization algorithm,and encodes continuous and discrete particles according to probabilities of quantum bits.By adopting the quantum rotation gate and integration method,it can respectively realize updating of continuous particles and discrete particles so as to improve searching precision.In addition,by means of quantum NAND gate,it can realize variation of particles so as to avoid prematurity phenomenon and improve global searching ability and optimization efficiency of the algorithm.Finally,it makes simulation on power supply ability of the distribution network based on modified IEEE-33 three-phase unbalanced distribution network.Corresponding results prove effectiveness of the model and method.
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