首页> 外文会议>Evolutionary computation in combinatorial optimization >Robustness Analysis in Evolutionary Multi-Objective Optimization Applied to VAR Planning in Electrical Distribution Networks
【24h】

Robustness Analysis in Evolutionary Multi-Objective Optimization Applied to VAR Planning in Electrical Distribution Networks

机译:进化多目标优化的鲁棒性分析在配电网无功规划中的应用

获取原文
获取原文并翻译 | 示例

摘要

In this paper an approach to robustness analysis in evolutionary multi-objective optimization is applied to the problem of locating and sizing capacitors for reactive power compensation (VAR planning) in electric radial distribution networks. The main goal of this evolutionary algorithm is to find a non-dominated front containing the most robust non-dominated solutions also ensuring diversity along the front. A concept of degree of robustness is incorporated into the evolutionary algorithm, which intervenes in the computation of the fitness value assigned to solutions. Two objective functions of technical and economical nature are explicitly considered in the mathematical model: minimization of system losses and minimization of capacitor installation costs. Constraints refer to quality of service, power flow, and technical requirements. It is assumed that some input data are subject to perturbations, both concerning the objective functions and the constraints coefficients.
机译:在本文中,将一种用于进化多目标优化的稳健性分析方法应用于为径向配电网中无功补偿(VAR规划)的电容器的定位和尺寸确定问题。这种进化算法的主要目标是找到一个包含最鲁棒的非支配解决方案的非支配前沿,同时确保沿前沿的多样性。鲁棒程度的概念已纳入进化算法,该算法介入分配给解的适应度值的计算。数学模型中明确考虑了技术和经济性质的两个目标函数:系统损耗最小化和电容器安装成本最小化。约束是指服务质量,功率流和技术要求。假设某些输入数据会受到扰动,这既涉及目标函数又涉及约束系数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号