برنامه‌ریزی توسعه شبکه‌های انتقال در یک سیستم قدرت تجدید ساختاریافته با استفاده از الگوریتم تکامل تفاضلی چندهدفه
محورهای موضوعی : مهندسی برق و کامپیوتر
فرزان رشیدی
1
(دانشگاه هرمزگان)
کلید واژه: الگوریتم تکامل تفاضلی بازار برق برنامه برنامه‌ریزی توسعه شبکه انتقال بهینه‌سازی پارتو تصمیم‌گیری فازی,
چکیده مقاله :
با افزایش روزافزون مصرف برق و متعاقب آن افزايش توليد، شبکه‌های انتقال نیز می‌بایست همگام با آنها توسعه یابند. اين در حالي است که هم‌زمان با تجدید ساختار در سیستم قدرت، علاوه بر تشدید تأثیر عدم قطعیت‌های فعلی، چالش‌ها و عدم قطعيت‌هاي جديد دیگری نیز به شبکه اضافه شده است. بالابودن ریسک سرمایه‌گذاری در پروژه‌های کلان صنعت برق و همچنین عدم قطعیت‌های موجود در عرصه رقابت سبب شده تا سرمايه‌گذاري در پروژه‌هاي توسعه شبکه‌های انتقال فاقد انگيزه‌هاي لازم برای بخش خصوصی باشد. در این مقاله مدل نسبتاً جامعی برای برنامه‌ریزی توسعه شبکه انتقال با هدف رقابتی‌ماندن بازار و دسترسی آسان مصرف‌کنندگان به انرژی ارزان و قابل اعتماد و همچنین تشویق سرمایه‌گذاران بخش خصوصی ارائه شده است. با توجه به این که مسأله مورد نظر در قالب یک مسأله بهینه‌سازی چندهدفه است، برای حل آن از الگوریتم بهینه‌سازی تکامل تفاضلی چندهدفه استفاده شده است. به منظور تسریع در فرایند بهینه‌سازی و جلوگیری از گیرافتادن الگوریتم در بهینه‌های محلی، راهکارهای ابتکاری جدیدی نیز به الگوریتم اضافه شده‌اند. نتيجه اعمال این الگوریتم بر مسأله بهینه‌سازی مورد نظر، منجر به مجموعه‌اي از طرح‌های بهینه‌ای خواهد شد که نشان‌دهنده ناحيه مصالحه بين توابع هدف است. برای انتخاب طرح نهایی از بین چندین طرح بهینه موجود، از روش تصميم‌گيري فازي max-min استفاده شده است. برای ارزیابی عملکرد الگوریتم پیشنهادی، شبیه‌سازی‌های متعددی بر روی شبکه 24شينه IEEE انجام می‌شوند. نتایج شبیه‌سازی‌ها نشان می‌دهند مدل ارائه‌شده می‌تواند در حضور عدم قطعیت‌های مختلف، علاوه بر کمینه‌کردن هزینه‌های سرمایه‌گذاری و کاهش پرشدگی خطوط، خطوط با سطح ریسک مورد قبول و سودآور را شناسایی و برای سرمايه‌گذاری به بخش خصوصی پیشنهاد نماید.
Transmission lines are widely used for transferring electrical energy from power plants to loads, interconnecting load centers and improving reliability of power systems. Due to recent society developments, the need for electrical energy has increased which in turn requires more investment in constructing additional electrical transmission lines. Power system restructuring and deregulation has increased uncertainties in transmission expansion planning and made investment in electrical transmission lines more complicated and less appealing for private parties. This paper proposes a new approach for transmission line expansion planning in deregulated networks. To do that, a multi objective programming problem which consists of various objective functions such as minimizing capital investment for constructing new transmission lines, minimizing congestion in transmission lines and maximizing the investment from private parties is suggested such that access to competitive, economic and reliable energy market is facilitated. To solve the proposed multi objective optimization problem, the Pareto differential evolution algorithm is used. Applying this algorithm to the proposed multi objective programming problem generates set of optimal plans that shows the best compromise between objective functions. The final plan, among the generated plans, is selected using a max-min fuzzy decision making. The proposed method is applied on the IEEE 24 bus test system and effectiveness of the proposed method is verified.
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