###
DOI:
电力大数据:2019,22(01):-
←前一篇   |   后一篇→
本文二维码信息
基于遗传算法的HVDC系统控制参数优化
(1.广东电网公司有限责任河源供电局;2.广东电网有限责任公司阳江供电局)
Research on Control Parameters Optimization of HVDC Transmission System Based on GA
(1.Heyuan Power Supply Burean Co,Ltd,Heyuan Guangdong;2.Yangjiang Power Supply Burean Co,Ltd,Yangjiang Guangdong)
摘要
图/表
参考文献
相似文献
本文已被:浏览 409次   下载 859
投稿时间:2018-06-22    修订日期:2018-11-01
中文摘要: 高压直流输电技术以其大容量远距离输电、交流系统之间的异步互联、传输功率快速可控等优点在我国得到了广泛应用,高压直流系统的控制参数直接影响到直流输电系统的运行特性,因此对高压直流系统控制参数的优化显得尤为重要。本文以传统高压直流系统为研究对象,以MATLAB/SIMULINK为仿真平台,基于采用简单记忆法策略,即在每代寻优结束后,将最优个体保留在适应度最低的个体的位置方法对传统遗传算法进行改进,并采用改进后的遗传算法对高压直流控制参数进行优化。应用MATLAB将遗传算法和高压直流系统模型相结合进行仿真,通过多次迭代得到优化的控制器参数。同时,将优化后的控制器参数与原始参数的鲁棒性进行比较,证明了控制器参数优化的必要性以及遗传算法优化控制器参数的可行性和优越性。
Abstract:High voltage direct current (HVDC) transmission system has been used widely in our country with its advantages of transmission of large amounts of power over long distance, asynchronous link between two AC system and ability to rapid control. The control parameters of HVDC system directly affect the operation characteristics of HVDC system, so it is very important to optimize the control parameters of HVDC system. In this paper, the traditional HVDC system is taken as the research object, and MATLAB/SIMULINK is used as the simulation platform. Based on the simple memory strategy, the traditional genetic algorithm is improved by keeping the optimal individual in the lowest fitness position after each generation of optimization, and the improved genetic algorithm is used to optimize the control parameters of HVDC.The genetic algorithm and HVDC system model are combined to simulate by MATLAB, and the optimal controller parameters are obtained by iteration. At the same time, the controller parameters after optimization are compared with the robustness of the original parameters, which proves the necessity of controller parameter optimization and the feasibility and superiority of genetic algorithm in optimizing controller parameters.
文章编号:     中图分类号:TM715    文献标志码:
基金项目:
引用文本: