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考虑负荷变化的含分布式电源配电网重构研究

Research on Reconfiguration of Distribution Network with DG Based on Load Change

【作者】 王伟

【导师】 谭阳红; 陈大勇;

【作者基本信息】 湖南大学 , 电气工程(专业学位), 2017, 硕士

【摘要】 为缓解全球范围内的能源危机和环境压力,提高能源的利用效率,促进节能减排和可再生能源发展,分布式发电(Distributed Generator,DG)逐渐成为一种新兴的能源利用方式。由于分布式发电具有分散、随机变动等特点,因此大量分布式电源的接入,将对配电系统的安全稳定运行产生极大的影响。而配电网重构是实现配电网安全、可靠运行的重要手段。因此,本文在考虑负荷变化的情况下,对含分布式电源的配电网重构方法进行研究。首先在含分布式电源的配电网潮流计算方面,将分布式电源分成PQ、PI、PV、PQ(V)四种节点类型,并在传统配电网前推回代法潮流计算的基础上,采用节点分层策略,分别建立了相应的配电网潮流计算模型,给出了含DG的节点分层前推回代潮流计算方法,并对含各种类型DG的配电网潮流计算进行测试分析。其次在含分布式电源的配电网静态重构方面,本文建立了含分布式电源的配电网静态重构模型,以配电网有功损耗最小为目标函数,采用整数型环网编码方案进行编码大幅降低变量维数,并对量子粒子群算法进行改进,得到一种整数编码型量子粒子群算法。为快速消除无效解,提出了开关环路矩阵与节点分层策略的不可行解判定方法。最后以IEEE33节点系统和PG&E69节点系统为算例分别对不含DG的配电网重构、含单类型DG的配电网重构以及含多类型DG的配电网重构进行了测试分析。最后在考虑负荷变化的配电网动态重构方面,本文建立了以配电网整个时间区间内总有功损耗最少和开关动作总次数最少为多目标的优化模型,提出了一种配电网动态重构的多时段双步优化策略。首先进行有功网损最少化的时段初步划分,并在初步划分的基础上进行开关操作次数最少化的时段二次优化,进而确定最优重构方案。最后以IEEE33节点系统为算例对配电网动态重构进行了测试分析。

【Abstract】 In order to alleviate the global energy crisis and environmental pressure,improve the utilization efficiency of energy and promote energy conservation and emission reduction as well as the renewable energy’s development,distributed generator(DG)has become an emerging way of energy utilization gradually.A large amount of connection of distributed power supply will have a great impact on the safe and stable operation of the power distribution system,because distributed generator has such characteristics as dispersion,random variation.The reconfiguration of distribution network is an important means to realize its safe and reliable operation.Therefore,this paper studies the method of reconfiguration of distribution network,considering the change of load and the uncertainty of distributed power output.Firstly,in terms of the calculation of power flow of distribution network with distributed power,this paper divides the distributed power into four types of node:PQ,PI,PV,PQ(V)on the basis of the forward-backward sweep calculation method of the traditional distribution network,establishes the calculation model of power flow of distributed power respectively,offers the forward-backward sweep calculation method that is also applicable to the node layering of DG and finally makes an analysis for power flow of distribution network with all types of DG included.Secondly,in terms of the static reconfiguration of distribution network with distributed power,this paper establishes the static reconfiguration model of distribution network.The active energy loss of distribution network is taken as the objective function,and the integer ring coding scheme is used to encode to greatly reduce the dimension of variables.An integer coded quantum particle swarm optimization algorithm is concluded after the improvement of the quantum particle swarm optimization algorithm.In order to eliminate the invalid solution quickly,an infeasible solution method of switching loop matrix and node hierarchical strategy is proposed.Finally,the IEEE33 node system and the PG&E69 node system are taken as examples to test and analyze the distribution network without DG,the reconfiguration of the distribution network with single type DG and the reconfiguration of the distribution network with multiple types of DG.Finally,in terms of the dynamic reconfiguration of distribution network with distributed power concerned with change in load,this paper establishes a multi-objective optimization model which demands the minimization of the total active loss and the total number of switching actions in the whole time interval of the distribution network and proposes a Multi-period Two-step Optimization Strategy for Dynamic Reconstruction of Distribution Network.The time interval of the minimum loss of active power loss is preliminarily divided,upon which the second optimal reconstruction is carried out on the period of minimization of the number of switching operations and then the best reconfiguration project can be decided.Finally,the dynamic reconfiguration of distribution network is tested and analyzed with IEEE33 node system as an example.

  • 【网络出版投稿人】 湖南大学
  • 【网络出版年期】2018年 07期
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