分布式电源接入对配电网网损影响的研究

发布时间：2018-02-24 19:43

本文关键词： 电力系统配电网分布式电源网络损耗粒子群算法　出处：《华中科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：资源紧缺和环境污染促使电力行业对新能源的需求日益增长。基于新能源开发利用的分布式电源将成为未来先进电网的一个重要组成部分,具有重要的研究意义。分布式电源的接入必定会对电网运行产生各方面的影响,它会使配电网潮流发生变化,相应地导致配电网的网络损耗发生变化。本文首先针对分布式电源并网对配电网网络损耗的影响进行了理论分析,根据简化的配电网模型计算分布式电源接入后的网络损耗,并与接入前的网络损耗进行比较,得出结论为影响网络损耗的主要因素有分布式电源的接入位置,容量大小和运行方式。本文还在理论分析的基础上,运用电力系统仿真程序对实际算例进行仿真,得到分布式电源接入后网络损耗的变化规律,由此提出合理的分布式电源并网建议。研究表明合理地规划分布式电源的接入位置,容量大小和运行方式,有利于减小配电网的网络损耗。本文最后探讨了改进的粒子群算法在分布式电源的选址与定容中的运用。标准的粒子群算法容易陷入局部最优解,因此本文将标准粒子群算法与模拟退火算法相结合,得到改进的粒子群算法,提高算法的全局寻优能力。在分析了分布式电源接入配电网对网络损耗的影响规律后,运用改进的粒子群算法对分布式电源的选址与定容进行仿真计算,并与标准粒子群算法进行比较。仿真结果验证了前面的理论分析,表明了改进粒子群算法拥有更好的全局寻优能力,能使分布式电源接入后的网络损耗进一步减少。
[Abstract]:The shortage of resources and environmental pollution promote the increasing demand for new energy in the electric power industry. Distributed power generation based on the development and utilization of new energy will become an important part of the advanced power grid in the future. It is of great significance to study. The access of distributed generation will definitely affect the operation of power grid in all aspects, and it will make the power flow of distribution network change. In this paper, the influence of distributed power grid connection on the distribution network loss is analyzed theoretically, and the network loss is calculated according to the simplified distribution network model. Compared with network loss before access, it is concluded that the main factors affecting network loss are access location, capacity and operation mode of distributed power supply. By using the power system simulation program to simulate the actual example, the variation rule of the network loss after the distributed power source is connected to the network is obtained, and the reasonable suggestion of connecting the distributed power source to the network is put forward. The research shows that the access position of the distributed power source is reasonably planned. Capacity and operation mode are helpful to reduce the loss of distribution network. Finally, this paper discusses the application of improved particle swarm optimization algorithm in the location and capacity of distributed generation. The standard particle swarm optimization algorithm is easy to fall into local optimal solution. Therefore, this paper combines standard particle swarm optimization algorithm with simulated annealing algorithm to obtain improved particle swarm optimization algorithm and improve the global optimization ability of the algorithm. The improved particle swarm optimization (PSO) algorithm is used to simulate the location and volume of distributed power supply, and compared with the standard PSO algorithm. The simulation results verify the previous theoretical analysis. It is shown that the improved particle swarm optimization algorithm has better global optimization ability and can further reduce the network loss after the distributed power supply is connected.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM727

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