...
首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Optimal fractional order fuzzy based AGC using MODA & NSGA-II to improve dynamic stability of multi-area interconnected power system
【24h】

Optimal fractional order fuzzy based AGC using MODA & NSGA-II to improve dynamic stability of multi-area interconnected power system

机译:MODA&NSGA-II的最佳分数阶基于模糊的AGC,提高多面积互连电力系统的动态稳定性

获取原文
获取原文并翻译 | 示例
           

摘要

The prominent responsibility of Automatic Generation Control (AGC) is controlling the interchange power flow deviations toward suppression of both the frequency and tie-line power deviation during the disturbance occurrence in the interconnected multi-area power system. To appropriately deliver an electric power with high quality, AGC system needs to be equipped with an efficient and intelligent controller. In this regard, Fractional Order Fuzzy-PID (FOFPID) is proposed for AGC system to enhance the dynamic stability of multi-area interconnected power system. Due to multi-objective nature and importance of the design problem, the parameters of FOFPID controller have been optimally tuned by two multiobjective optimization algorithms i.e., Multi-Objective Dragonfly Algorithm (MODA) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II). The damping performance of self-defined FOFPID-AGC has been thoroughly evaluated under different disturbance conditions namely short circuit, load variation and excitation voltage change in the Four-Machine Kundur and Ten-Machine New England. To precisely extract the FOFPID's parameters, concomitant optimization scheme has been scheduled with consideration of all these disturbances. At last, the damping performance of FOFPID-AGC has been mainly approved by MODA and NSGA-II, and its damping capability has been accordingly validated compared to two defined controllers.
机译:自动生成控制(AGC)的突出责任是控制互连的多区域电力系统中干扰发生期间抑制频率和扎线功率偏差的交换功率流偏差。要适当地提供高质量的电力,AGC系统需要配备有效且智能的控制器。在这方面,提出了用于AGC系统的分数阶模糊PID(FOFPID),以提高多面积互连电力系统的动态稳定性。由于设计问题的多目标性质和重要性,FOFPID控制器的参数已经通过两个多目标优化算法(MODA)和非主导的分类遗传算法-II(NSGA-II)进行了最佳地调整了FOFPID控制器的参数)。自定义FOFPID-AGC的阻尼性能已经在不同干扰条件下进行了彻底评估,即四机昆医生和十型机新英格兰的短路,负载变化和激励电压变化。为了精确提取FOFPID的参数,考虑到所有这些干扰,已经安排了伴随优化方案。最后,FOFPID-AGC的阻尼性能主要由MODA和NSGA-II批准,并且与两个定义的控制器相比,它的阻尼能力已被验证。

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