چارچوب هماهنگ بازآرایی و کنترل مستقیم بار به منظور رفع چالش‌های بهره‌برداری شبکه‌های توزیع توسعه‌نیافته
محورهای موضوعی : مهندسی برق و کامپیوتراحسان حسینی 1 , محمدصادق سپاسیان 2 , حمیدرضا آراسته 3 , وحید وحیدی‌نسب 4
1 - دانشگاه شهید بهشتی
2 - دانشگاه شهید بهشتی
3 - دانشگاه شهید بهشتی
4 - دانشگاه شهید بهشتی
کلید واژه: بازآرایی شبکه توزیع برنامه‌های پاسخ‌گویی بار شبکه توزیع, الگوریتم ژنتیک هزینه بهره‌برداری,
چکیده مقاله :
رویکرد اساسی این مقاله، بهبود شرایط بهره‌برداری از سیستم‌های توزیع توسعه‌نیافته با بهره‌گیری هم‌زمان از بازآرایی شبکه و برنامه‌های کنترل مستقیم بار خواهد بود. برای یافتن هم‌زمان وضعیت بهینه کلیدها و مقادیر تشویق بهینه در برنامه پاسخ‌گویی بار، از الگوریتم ژنتیک به عنوان یکی از روش‌های جستجوی تصادفی استفاده شده است. برای نشان‌دادن اثر بازگشت انرژی در برنامه پاسخ‌گویی بار از ماتریس حساسیت قیمتی تقاضا (ماتریس کشش بار) استفاده شده است. هزینه‌های بهره‌برداری از شبکه به عنوان تابع هدف در نظر گرفته شده‌اند. قیود ولتاژ، ظرفیت خطوط شبکه و برخی از قیدهای مربوط به برنامه‌های پاسخ‌گویی بار نیز در ارزیابی تابع هدف در نظر گرفته شده‌اند. در نهایت کارایی روش ارائه‌شده در کاهش هزینه‌های بهره‌برداری روی شبکه 33شینه نشان داده شده است. نتایج شبیه‌سازی نشان می‌دهند که استفاده هم‌زمان از ابزارهای بازآرایی و پاسخ‌گویی بار، علاوه بر حل مشکل اضافه بار خطوط شبکه، هزینه‌های بهره‌برداری از شبکه را به طور چشم‌گیری کاهش داده و نیاز به بارزدایی را به حداقل می‌رساند.
The basic approach of this paper is to improve the operational condition of distribution systems by the simultaneous utilization of system reconfiguration and direct load control programs. A Genetic Algorithm (GA) based algorithm is employed to find the optimal states of switches as well as the optimal incentives of the demand response programs. The concept of price elasticity of demand is utilized to illustrate the changes of electricity consumption pattern as a result of customers’ participation in Demand Response (DR). The objective function of the proposed model is network operation costs. In addition, voltage constraints, lines capacity limits and the related constraints of DR programs are considered in the optimization problem. Finally, the effectiveness of the proposed method in reducing operation costs is shown using the 33-bus distribution network. The simulation results show that the coordination of reconfiguration and DR can reduce the operation costs and load shedding requirements in addition to solving lines’ over loading problems.
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