含分布式电源的配电网综合优化研究

发布时间：2018-11-16 07:07

【摘要】：分布式电源(Distributed Generation,DG)作为传统供电方式的补充,以其占地面积小,灵活高效发电,绿色环保等优点在电力系统中扮演着重要角色。DG接入配网时的位置、容量以及网络的拓扑结构都影响着配电网的运行方式和潮流分布,因此研究DG在配电网中的优化配置与含DG的配电网重构对配电网的安全运行具有重要的实际意义。本文首先简要介绍了几种常见的DG。通过简单的配电网模型详细分析了DG的接入容量、位置以及功率因数对网损的影响,并总结其影响规律,接着介绍了DG在潮流计算中的几种数学模型。并把DG看作PQ模型融入配电网的潮流计算中。其次深入地研究分析了和声搜索算法的基本原理、步骤及其优缺点。对其不足增加了三点改进:在和声库初始化时通过混沌映射使和声向量均匀分布,步长进行自适应调整,并融合反向学习策略的优势产生新解,权衡了算法的搜索能力和开采能力。对于不可调度的DG,本文通过改进和声搜索算法进行了DG在配电网中的优化配置研究。并以网损最小为目标函数,对DG接入配电网的最优位置和容量进行同时的优化仿真,验证了本文所提改进算法的有效性。对于可调度的DG,本文对DG的注入功率和配网重构进行综合优化研究。以网络损耗和节点电压偏移率为目标,并采用网络的开关状态与DG注入功率同时编码的方法,提出基于改进和声搜索算法的配网重构与DG注入功率综合优化方案。在33节点算例中,首先对不含DG的配电网重构进行了仿真验证,然后对含DG的配电网重构进行多种方案的仿真比较,证明了配网重构与DG注入功率同时优化能使配网的降损效果与电压的改善情况达到最优。
[Abstract]:As a supplement of traditional power supply mode, distributed power generation (Distributed Generation,DG) plays an important role in power system because of its small area, flexible and efficient power generation, green environmental protection and so on. Both the capacity and the topology of the network affect the operation mode and power flow distribution of the distribution network. Therefore, it is of great practical significance to study the optimal configuration of DG in the distribution network and the reconfiguration of the distribution network containing DG for the safe operation of the distribution network. This article begins with a brief introduction to several common DG. The influence of access capacity, position and power factor of DG on network loss is analyzed in detail through a simple distribution network model, and its influence law is summarized. Then, several mathematical models of DG in power flow calculation are introduced. DG is considered as a PQ model in the power flow calculation of distribution network. Secondly, the basic principle, steps, advantages and disadvantages of harmonic search algorithm are analyzed. In this paper, three improvements are added: the harmonic vector is uniformly distributed by chaotic mapping, the step size is adjusted adaptively, and the advantages of the reverse learning strategy are fused to produce a new solution. The search ability and mining ability of the algorithm are weighed. In this paper, the optimal configuration of DG in distribution network is studied by improving the harmonic search algorithm for non-dispatch DG,. Taking the minimum network loss as the objective function, the optimal position and capacity of the DG access distribution network are simulated simultaneously, which verifies the effectiveness of the improved algorithm proposed in this paper. In this paper, the injection power of DG and the reconfiguration of distribution network are comprehensively optimized for the schedulable DG,. Aiming at network loss and node voltage offset, and adopting the method of network switching state and DG injection power coding simultaneously, a comprehensive optimization scheme of distribution network reconstruction and DG injection power based on improved harmonic search algorithm is proposed. In the 33-bus example, the distribution network reconfiguration without DG is first verified by simulation, and then the distribution network reconfiguration with DG is simulated and compared. It is proved that the optimization of distribution network reconstruction and DG injection power at the same time can optimize the loss reduction effect and the improvement of voltage of distribution network.
【学位授予单位】：西安理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM727

【参考文献】