PI Multi-Objective Genetic for LFC Based Different Wind Penetration

• 作者: A. A. Donkol El-Nobi A. Ibrahim Gaber El-Saady
• 来源期刊: 电力能源(英文)
• 学科: 医学
• 关键词: PID WIND GENETIC MULTI-OBJECTIVE GENETIC Algorithm LFC
• 年，卷（期）: 2018,（7）
• 页码范围: 76-91
• 页数: 16页
• 分类号: R73

摘要

Future energy descent systems will be expected to be controlled by the using of renewable power sources of which wind energy is one of the favorable sources. This paper treats with the implantation of genetic algorithms for making the parameters needed for PID applied to interconnected thermal and hydraulic power systems at best use and most effective. Two-areas of hydraulic and thermal power systems with wind connected parallel to each one are considered to exemplify the effective parameter investigation. First hydraulic and thermal are connected with tie line with the wind connected parallel to hydraulic or thermal, and then disturbance was made at thermal power plant, then to hydraulic power plant. Simulations are performed aided by the integrated Simulink/Matlab environment taking into consideration the genetic optimization process. Multiple integral representations variables with different cost functions were considered in the search for the effective AGC parameters. The outcomes established by this paper shows the impact of the genetic algorithms for LFC about multiple areas connected power systems based on different wind power using in the tuning of such a process.