مدل‌سازی غیرخطی برنامه‌های پاسخگویی بار در سیستم‌های قدرت با در نظر گرفتن نامعینی میزان مشارکت مشترکین
محورهای موضوعی : مهندسی برق قدرت
احسان بهرامی
1
,
محمدرضا مرادیان
2
1 - دانشکده مهندسي برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ايران
2 - دانشکده مهندسي برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ايران
کلید واژه: پاسخگویی بار, کشش, منحنی تداوم بار, مدل‌های غیرخطی, مشارکت مشترکین,
چکیده مقاله :
چالش مصرف بی‌رویه انرژی و مسائل زیست‌محیطی تابع آن از یکسو و مشکلات بهره‌برداری بهینه از سیستم‌های قدرت تجدید ساختاریافته از سوی دیگر ایجاب می‌نماید که مدیریت مناسبی در سمت مصرف صورت پذیرد. در این زمینه برنامه¬های پاسخگویی بار برنامه¬هایی هستند که بسته به نوع برنامه، مشترکین و مصرف‌کنندگان را تشویق، ترغیب یا مجبور می¬کند که الگوهای مصرفی خود را در چهارچوب¬های وضع‌شده از طرف بهره‌بردار شبکه تنظیم کنند. در این مقاله، باهدف دستیابی به دقت بالاتر، مدل‌های غیرخطی برای برنامه‌های پاسخگویی بار (مدل‌های توانی، نمایی و لگاریتمی) مبتنی بر برنامه‌های تشویق محور و برنامه‌های زمان محور، بر اساس کشش قیمت و تابع سود مشتری توسعه داده شده است. سپس رفتار مدل¬های منظورشده در برابر تغییرات کشش، تشویق، جریمه و تأثیر میزان مشارکت مشترکین در قالب سناریوهای مختلف بررسی و ارائه شده است. از آنجایی‌که میزان مشارکت مشترکین در این برنامه‌ها تابع عوامل مختلف اقتصادی، فرهنگی و اجتماعی است، قابل پیش‌بینی دقیق نبوده و تغییرات آن تأثیر شایانی در نتایج حاصل از برنامه دارد، درصد مشارکت مشترکین را به‌عنوان یک پارامتر نامعین که تغییراتی منطبق بر تابع توزیع احتمال نرمال دارد مدل‌سازی و در استخراج نتایج منظور شده است. نتایج به‌دست‌آمده نشان می‌دهد که مدل‌های غیرخطی نسبت به مدل خطی دارای دقت بیشتری بوده و محافظه‌کارانه‌تر عمل می‌نمایند. از طرفی مقایسه این نتایج مشخص می‌کند که لحاظ نمودن میزان مشارکت مشترکین به‌عنوان یک پارامتر نامعین نرمال، ضمن آنکه نتایج را قابل‌اطمینان‌تر می‌نماید، پیک سایی شبکه را بهبود بخشیده و انرژی مصرفی در کل شبکه را نیز کاهش بیشتری می‌دهد.
The challenge of excessive energy consumption, related environmental issues, and optimal utilization of restructured power systems require proper management on the demand side. In this context, demand response programs, try to encourage, persuade, or force consumers to adjust their consumption patterns within that established by the system operator. In this article, to improve accuracy, nonlinear models for demand response programs (power, exponential, and logarithmic models) for incentive-based and time-based programs, have been developed based on price elasticity and customer profit function. Then, the behavior of the proposed models against changes in elasticity, encouragement/penalty rate, and the effect of consumer participation have been investigated in several scenarios. Since consumer participation in these programs depends on various economic, cultural, and social factors, it cannot be accurately predicted. In addition, consumer participation has a significant effect on the program results. So, the consumer participation percentage has been considered an uncertain parameter based on a normal probability distribution function. The results show that the non-linear models are more accurate and more conservative than the linear model. Moreover, considering consumer participation as an uncertain normal parameter results in more reliable responses with more peak reduction and a greater reduction in total energy consumption.
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