计及电能质量的分布式电源选址定容优化配置研究

发布时间：2018-03-08 18:34

本文选题：电能质量　切入点：分布式电源　出处：《华北电力大学(北京)》2016年硕士论文　论文类型：学位论文

【摘要】：目前,随着电力系统的不断发展,电能质量问题越来越得到人们的重视。一方面,大量电力电子技术的应用为电网带来了较为严重的谐波污染；另一方面,电压暂降问题日益威胁着电力系统中设备的正常运行。分布式电源的出现既迎合了电网对于能源的需求,顺应了集中式供电模式向分散式供电模式过渡的潮流,也满足了社会对于环境改善的渴望。同时,分布式电源的接入也对电网产生了各种影响,其接入位置、接入容量以及接入数量不同,对电网的影响也随之变化。本文在考虑分布式电源成本与网络损耗的基础上,将电压质量与电压暂降也纳入目标函数中,新增谐波限值为约束条件,利用标准粒子群算法、改进粒子群算法、遗传算法以及蜂群算法进行分布式电源优化配置计算,得到了基于电能质量问题的分布式电源优化配置方案。首先分别建立了分布式电源模型、传输线路模型、线性、非线性负荷模型以及感应电动机模型,利用基于电流的前推回代法计算基波潮流,运用解耦算法计算谐波潮流,并采用蒙特卡洛法与对称分量法相结合的算法计算短路故障后各节点的电压暂降水平,为优化算法提供了计算基础。建立了综合考虑分布式电源成本、网络损耗、电压质量以及电压暂降的目标函数,进而分别采用标准粒子群算法与改进粒子群算法进行优化配置计算。通过对IEEE33节点测试系统进行仿真分析,得到了分布式电源的最优接入位置与容量,并对比了不同粒子群算法对结果的影响,最终结果表明分布式电源的优化配置可以改善网络的运行状态。在原有模型的基础上,建立了并联电容器模型,分析了多种并联电容器的接入对电网的影响,并分别采用改进粒子群算法、遗传算法以及分群算法进行分布式电源优化配置计算。通过对接入并联电容器后的IEEE33节点网络的仿真计算,得到了分布式电源的最优接入位置与容量,且对比了不同算法的结果差异性,最终结论对于解决配电网中分布式电源的选址定容问题具有较强的参考价值。
[Abstract]:At present, with the development of power system, people pay more and more attention to power quality problems. On the one hand, a large number of power electronics technology has brought serious harmonic pollution to the power grid; on the other hand, The problem of voltage sag is threatening the normal operation of equipments in power system. The emergence of distributed power supply not only caters to the demand of power grid for energy, but also conforms to the trend of transition from centralized power supply mode to decentralized power supply mode. At the same time, the access of distributed generation also has a variety of effects on the power grid, its access location, access capacity and access quantity are different. On the basis of considering the cost of distributed generation and network loss, voltage quality and voltage sag are also included in the objective function. The new harmonic limit is used as the constraint condition, and the standard particle swarm optimization algorithm is used. Improved particle swarm optimization (PSO), genetic algorithm (GA) and bee colony algorithm are used to calculate the optimal configuration of distributed power supply, and the optimal configuration scheme based on power quality problem is obtained. The transmission line model, linear load model, nonlinear load model and induction motor model are used to calculate the fundamental power flow, and the decoupling algorithm is used to calculate the harmonic power flow. The algorithm combining Monte Carlo method with symmetric component method is used to calculate the voltage sag level of each node after short-circuit fault, which provides the basis for the optimization algorithm, and establishes a comprehensive consideration of the cost of distributed power supply and network loss. The objective functions of voltage quality and voltage sag are calculated by using standard particle swarm optimization algorithm and improved particle swarm optimization algorithm respectively. The IEEE33 node test system is simulated and analyzed. The optimal access position and capacity of distributed power generation are obtained, and the effects of different particle swarm optimization algorithms on the results are compared. The final results show that the optimal configuration of distributed power supply can improve the running state of the network. The model of shunt capacitor is established, and the influence of the connection of shunt capacitor on power network is analyzed, and the improved particle swarm optimization (PSO) algorithm is adopted respectively. Genetic algorithm and cluster algorithm are used to calculate the optimal configuration of distributed power supply. The optimal access position and capacity of distributed power supply are obtained by the simulation of IEEE33 node network connected to shunt capacitor. The results of different algorithms are compared, and the final conclusion has a strong reference value for solving the problem of location and capacity of distributed generation in distribution network.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM715

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