طراحی مقاوم کنترل‌کننده فازی PID بلادرنگ مبتنی بر الگوریتم بهبودیافته تکامل تفاضلی برای کنترل فرکانس ریزشبکه جزیره ای با در نظر گرفتن عوامل غیرخطی و عدم قطعیت ها

نویسندگان

دانشگاه محقق اردبیلی

چکیده

چکیده: در این مقاله، یک کنترل­کننده مقاوم فازی PID که به کنترل­کننده فازی PID بلادرنگ (OFPID) معروف است، برای کنترل فرکانس یک ریزشبکه در حالت جزیره­ای ارائه شده است. استراتژی کنترل­کننده پیشنهادی به­گونه­ای است که ضرایب کنترل‎کننده فازی PID در هر لحظه توسط منطق فازی تنظیم می‎شوند. جهت بهبود عملکرد کنترل‎کننده پیشنهادی، الگوریتم بهبودیافته تکامل تفاضلی (IDE) پیشنهادی که دارای سرعت همگرایی مناسبی برای بهینه­یابی توابع غیرخطی است، برای تنظیم بهینه پارامترهای آن شامل: ضرایب، توابع عضویت، ضرایب وزنی قواعد و قواعد فازی در سه مرحله استفاده می­شود. همچنین برای بهبود عملکرد مقاوم کنترل‎کننده در نقاط کار متفاوت، پارامترهای کنترل­کننده OFPID با در نظرگرفتن عدم قطعیت­هایی بر روی پارامترهای برخی اجزای ریزشبکه با الگوریتم پیشنهادی به­صورت بهینه تنظیم می­شوند. انگیزه اصلی پیشنهاد این استراتژی کنترلی، در هم آمیختن ویژگی‎های منطق فازی و الگوریتم بهبودیافته IDE برای کاهش کنش­های کنترلی و یافتن کنترل بهینه فازی برای برآورده نمودن عملکرد مقاوم کنترل فرکانس ریزشبکه است. ریزشبکه مورد آزمایش، شامل: واحدهای تولید پراکنده ژنراتور دیزلی، فتوولتاییک، پیل سوختی به­همراه الکترولایزر و توربین بادی و واحدهای ذخیره­کننده انرژی پراکنده چرخ طیار و باتری است. برای نزدیک­تر شدن به پاسخ فرکانسی ریزشبکه واقعی، عوامل غیرخطی بر روی مدل منابع تولید پراکنده و ذخیره‎کننده انرژی در نظر گرفته شده­اند. نتایج شبیه‎سازی با اعمال اغتشاش­های متفاوت، بیانگر عملکـرد منـاسب کنترل­کننده OFPID فرکانس پیشنهادی مبتنی بر الگوریتم بهبود یافته IDE نسبت به کنترل­کننده­های PID بهینه­شده و فازی PID کلاسیک است.

کلیدواژه‌ها

عنوان مقاله [English]

Robust Online Fuzzy PID Design Based on Improved Differential Evolution for Islanded Microgrid Frequency Control Considering Nonlinear Factors and Uncertainties

چکیده [English]

Abstract: In this paper, a robust fuzzy PID controller which is called online fuzzy PID (OFPID), for frequency control of an islanded microgrid is proposed. The proposed controller strategy is such that the fuzzy PID coefficients are automatically adjusted by fuzzy set theory at each time. To improve the performance of the proposed controller, the proposed improved differential evolution (IDE) algorithm which has suitable convergence speed in nonlinear functions optimization is used to optimal tune of its parameters including coefficients, membership functions, fuzzy rules weight and rules in three stages. To robust controller design in different operation points, the OFPID controller parameters is optimized by considering the uncertainties on some microgrid component parameters. The motivation for the proposed this control strategy is combination of fuzzy theory feature and IDE optimization algorithm to reduce control efforts and find better fuzzy system to achieve robust performance of microgrid frequency control. The test microgrid, is composed of distributed generation units such as diesel generators, photovoltaic, fuel cells with electrolyzer and wind turbine, as well as energy storage units such as flywheel and battery. In order to get closer to the frequency response of real microgrid, nonlinear factors on the distributed generation and energy storage sources have been considered. Simulation results by applying different disturbances show the good performance of the proposed OFPID controller than the optimized PID and classical fuzzy PID controllers.

کلیدواژه‌ها [English]

  • Keywords: Microgrid
  • frequency control
  • improved differential evolution algorithm
  • online fuzzy PID controller

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