بهره‌برداری ریزشبکه در راستای تأمین انرژی پاک مقید به قابلیت اطمینان بهینه سیستم
محورهای موضوعی : انرژی های تجدیدپذیر
حسین حسن شاهی
1
,
مهدی نفر
2
,
محسن سیماب
3
1 - گروه مهندسی برق- واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، فارس، ایران
2 - گروه مهندسی برق- واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، فارس، ایران
3 - گروه مهندسی برق- واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، فارس، ایران
کلید واژه: الگوریتم تکاملی ترکیبی, بهره‌برداری ریزشبکه, تأمین انرژی پاک, قابلیت اطمینان ریزشبکه,
چکیده مقاله :
در این مقاله، مسأله مدیریت انرژی ریزشبکه (MG) در حضور تولیدات پراکنده (DGها) و بارهای اکتیو (ALها) با در نظر گرفتن شاخص های بهره برداری، اقتصادی، زیست محیطی و قابلیت اطمینان ارائه می شود. این طرح دارای تابع هدفی برابر با کمینه سازی مجموع هزینه مورد انتظار بهره برداری MG و DGها، هزینه مورد انتظار آلودگی و هزینه خاموشی در شرایط وقوع پشامد N-1 است. این مسأله نیز مقید به معادلات پخش توان ac، محدودیت های بهره برداردی و قابلیت اطمینان MG و فرمول بندی بهره برداری DGها و ALها شامل طرح پاسخ گویی بار (DRP) و باتری است. همچنین از برنامه ریزی تصادفی برای مدل سازی عدم قطعیت های بار، قیمت انرژی، توان تولیدی DGهای تجدیدپذیر (RDGها) و دسترس پذیری تجهیزات MG استفاده می شود. سپس برای دست یابی به راه حل بهینه مطمئن با قابلیت پاسخ دهی یکتا، از حل کننده ترکیبی بهینه سازی شیر مورچه (ALO) و الگوریتم جستجوی کلاغ (CSA) استفاده می گردد. در نهایت با اجرای طرح پیشنهادی بر روی یک MG استاندارد و استخراج نتایج عددی حاصل از موارد مطالعاتی مختلف، قابلیت طرح مذکور در بهبود وضعیت شاخص های بهره برداری و اقتصادی MG در کنار تأمین انرژی پاک با قابلیت اطمینان مطلوب مورد تأیید قرار می گیرد.
In this paper, the problem of micro-grid (MG) energy management in the presence of distributed generations (DGs) and active loads (ALs) considering operation, economic, pollution and reliability is presented. This scheme includes objective function that is minimized the summation of expected operation cost of MG and DGs, expected pollution cost and outage cost in the N-1 contingency. This problem is constrained to AC power flow equations, MG operation and reliability limits, and operation formulation of DGs and ALs including the demand response program (DRP) and battery. Also, this paper uses the stochastic programming to model uncertainties of load, energy price, renewable DGs (RDGs) generation power and Availability of MG Equipment. Then, to achieve unique reliable optimal solution, it uses hybrid solver of ant-lion optimizer (ALO) and crow search algorithm (CSA). Finally, by implementing of the proposed strategy on a standard MG and obtain numerical results, the capability of the scheme in improving technical and economic indices of the MG along with procuring clean and reliable energy is confirmed.
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