Abstract

Due to mounting infiltration of solar and wind energy sources, it becomes essential to investigate its brunt on the dynamic economic dispatch. Here, solar–wind–thermal system integrating pumped-storage hydraulic unit has been considered. This work recommends chaotic fast convergence evolutionary programming (CFCEP) rooted in Tent equation for solving dynamic economic dispatch problem incorporating renewable energy sources and pumped-storage hydraulic unit. Chaotic sequences increase the exploitation ability in the searching space and enhance the convergence property. In the recommended technique, chaotic sequences have been pertained for acquiring the dynamic scaling factor setting in fast convergence evolutionary programming (FCEP). The efficiency of the recommended technique is revealed on two test systems. Simulation outcomes of the suggested technique have been matched up to those acquired by FCEP, differential evolution and particle swarm optimization. It has been observed from the comparison that the recommended CFCEP technique has the capability to confer with better quality solution.

中文翻译：

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结合可再生能源和抽水蓄能的动态经济调度

摘要

由于太阳能和风能的渗透不断增加，因此必须首先研究其对动态经济调度的影响。在这里，已经考虑了集成了抽水蓄能液压单元的太阳风热系统。这项工作推荐了以Tent方程为基础的混沌快速收敛进化规划（CFCEP），用于解决将可再生能源和抽水蓄能式液压单元结合在一起的动态经济调度问题。混沌序列增加了搜索空间的利用能力，增强了收敛性。在推荐的技术中，混沌序列已被用于在快速收敛进化编程（FCEP）中获取动态缩放因子设置。在两个测试系统上揭示了推荐技术的效率。所建议技术的仿真结果已与FCEP，差分进化和粒子群优化所获得的结果相匹配。从比较中可以看出，推荐的CFCEP技术具有提供更好质量的解决方案的能力。