• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Soft Computing >A hybrid differential evolution algorithm based on particle swarm optimization for nonconvex economic dispatch problems
【24h】

A hybrid differential evolution algorithm based on particle swarm optimization for nonconvex economic dispatch problems

机译：非粒子群经济调度问题的基于粒子群优化的混合差分进化算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents the design and application of an efficient hybrid heuristic search method to solve the practical economic dispatch problem considering many nonlinear characteristics of power generators, and their operational constraints, such as transmission losses, valve-point effects, multi-fuel options, prohibited operating zones, ramp rate limits and spinning reserve. These practical operation constraints which can usually be found at the same time in realistic power system operations make the economic load dispatch problem a nonsmooth optimization problem having complex and nonconvex features with heavy equality and inequality constraints. The proposed approach combines in the most effective way the properties of two of the most popular evolutionary optimization techniques now in use for power system optimization, the Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms. To improve the global optimization property of DE, the PSO procedure is integrated as additional mutation operator. The effectiveness of the proposed algorithm (termed DEPSO) is demonstrated by solving four kinds of ELD problems with nonsmooth and nonconvex solution spaces. The comparative results with some of the most recently published methods confirm the effectiveness of the proposed strategy to find accurate and feasible optimal solutions for practical ELD problems.
机译：本文提出了一种有效的混合启发式搜索方法的设计和应用，该方法考虑了发电机的许多非线性特征及其运行约束（如传输损耗，阀点效应，多种燃料选择），解决了实际的经济调度问题。操作区域，斜率限制和旋转储备。这些实际的操作约束通常可以在现实的电力系统运行中同时发现，这使得经济负荷分配问题成为具有平滑和不凸特征且具有严格的等式和不等式约束的非平滑优化问题。拟议的方法以最有效的方式结合了目前用于电力系统优化的两种最流行的进化优化技术的特性，即差分进化（DE）和粒子群优化（PSO）算法。为了提高DE的全局优化属性，将PSO程序集成为附加的变异算子。通过解决具有非光滑和非凸解空间的四种ELD问题，证明了该算法（称为DEPSO）的有效性。与一些最新发布的方法的比较结果证实了所提出策略为实际ELD问题找到准确和可行的最佳解决方案的有效性。

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