文献类型：期刊文献

中文题名：基于多目标遗传算法的多配置风电机组控制

英文题名：Multiple Configuration Wind Turbine Control Based on Multi-objective Genetic Algorithm

作者：常国锋[1]

机构：[1]新乡学院计算机与信息工程学院,新乡453003

第一机构：新乡学院计算机与信息工程学院

年份：2022

卷号：22

期号：1

起止页码：220-227

中文期刊名：科学技术与工程

外文期刊名：Science Technology and Engineering

收录：CSTPCD;;北大核心:【北大核心2020】；

基金：河南省科技厅软科学项目基金(172400410516);河南省科学技术协会项目(HNKJZK-2019-28B)。

语种：中文

中文关键词：多目标遗传算法;配电网络;集中式风电机组;目标函数;最优解

外文关键词：multiple-objective genetic algorithm;distribution network;centralized wind turbine;objective functions;optimal solution

摘要：为了实现电力网络的良好配置,提出一种多目标遗传算法控制优化方法,配电网络涉及集中式风电机组、步进式电压调整器、电容器组和储能系统。首先,构建每个场景,利用内负荷流程序对集中式风电站等组件进行配置和控制;然后,定义决策变量,并构建3个具有权衡关系的目标函数;最后,利用多目标遗传算法进行迭代求解,选择违规成本最低的点作为最优解。在MATLAB环境中执行了包括3个不同配置场景的仿真实验,以比较不同连接方式对配电网络的影响。实验结果验证了所提方法的有效性,可以应用于与配电网络相关的控制优化算法。
In order to realize the good configuration of power network,a multiple-objective genetic algorithm control optimization method was proposed.The distribution network involved centralized wind turbine,step-by-step voltage regulator,capacitor bank and energy storage system.Firstly,each scenario was constructed,and the components such as centralized wind power plant were configured and controlled by internal load flow program.Then,decision variables were defined,and three objective functions with trade-off relationship were constructed.Finally,multiple-objective genetic algorithm was used for iterative solution,and the point with the lowest cost of violation was selected as the optimal solution.In the MATLAB environment,the simulation experiments including three different configuration scenarios were carried out to compare the influence of different connection modes on the distribution network.The experimental results verify the effectiveness of the proposed method,and it can be applied to the control optimization algorithm related to distribution network.