بهینه‌سازی کنترل‌کننده PID در جهت کنترل بار-فرکانس در سیستم قدرت مجهز به توربین آبی و جبران‌کننده افتی گذرا با استفاده از الگوریتم هیبریدی PSO-NM
محورهای موضوعی : مهندسی برق و کامپیوتر
احمد باغبان
1
,
سید آرمان شیرمردی
2
,
مهیار عباسی
3
1 - گروه مهندسی برق، موسسه آموزش عالی کارون، اهواز، ایران
2 - گروه مهندسی برق، موسسه آموزش عالی کارون، اهواز، ایران
3 - گروه مهندسی برق، دانشکده مهندسی ، دانشگاه اراک، اراک 8349-8-38156 ایران
کلید واژه: کنترل بار-فرکانس, سیستم قدرت, کنترل کننده PID, پایداری سیگنال کوچک, توربین آبی.,
چکیده مقاله :
در این مقاله، یک الگوریتم جدید جهت کنترل بار یک توربین آبی متصل به شین بینهایت با جبران‌کننده افتی گذرا ارائه شده است. روش پیشنهادی در این مقاله از کنترل PID و الگوریتم ترکیبی ازدحام ذرات بهینه‌سازی بهره برده است. کنترل‌کننده PID در نظر گرفته شده، می‌تواند طیف وسیعی از تغییرات در پارامترهای سیستم را تحمل کرده و بدون اورشوت‌ها و نوسان‌های زیاد، سیستم را پایدار کند. کنترل‌کننده PID بهینه شده دارای اورشوت و زمان نشست کمتری نسبت به کنترل‌کننده PID غیر بهینه است. کنترل‌کننده PID همچنین ریپل و نوسانات توان خروجی را کاهش می‌دهد، که آن را به یک ابزار ارزشمند برای کنترل فرکانس و توان سیستم‌های توربین آبی تبدیل می‌کند در مجموع، نتایج نشان می‌دهد که کنترل‌کننده PID بهینه شده می‌تواند به طور موثری فرکانس و توان سیستم‌های توربین آبی را کنترل کند، اما در برخی موارد ممکن است نیاز به استفاده از روش‌های کنترلی پیشرفته‌تر باشد. شبکه تحت مطالعه در سیمولینک نرم افزار متلب مدلسازی شده است. نتایج حاصل از پیاده سازی سناریوهای مختلف، موید عملکرد صحیح الگوریتم پیشنهادی می‌باشد. کنترل‌کننده PID بهینه‌شده می‌تواند تغییرات گسترده‌تری در پارامترهای سیستم را تحمل کند. در حالی که کنترل‌کننده PID غیربهینه ممکن است در Tw=3 (ثابت‌زمانی توربین آبی) بدون اورشوت عمل کند، کنترل‌کننده بهینه تا Tw=5 بدون اورشوت سیستم را پایدار نگه می‌دارد.
This paper presents a novel algorithm for load control of a hydraulic turbine connected to an infinite bus with transient droop compensator. The proposed method utilizes PID control and a hybrid particle swarm optimization algorithm. The considered PID controller can tolerate a wide range of variations in system parameters and stabilize the system without significant overshoots and oscillations. The optimized PID controller has lower overshoot and settling time compared to the non-optimized PID controller. The PID controller also reduces ripple and fluctuations in output power, making it a valuable tool for frequency and power control of hydraulic turbine systems. Overall, the results show that the optimized PID controller can effectively control the frequency and power of hydraulic turbine systems, but in some cases, more advanced control methods may be required. The network under study is modeled in the Simulink environment of MATLAB software. The results obtained from the implementation of various scenarios confirm the correct performance of the proposed algorithm. The optimized PID controller can tolerate a wider range of variations in system parameters. While the non-optimized PID controller may operate without overshoot at Tw=3 (hydraulic turbine time constant), the optimized controller stabilizes the system without overshoot up to Tw=5.
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