برنامه‌ریزی توسعه تولید با در نظر گرفتن منابع انرژی تجدیدپذیر و طرح‌های حمایتی با استفاده از الگوریتم جستجوی گرانشی

In this paper, the effect of incentive-based support schemes on promoting renewable energy resources is investigated in the generation expansion planning (GEP) framework, while the environmental issues are considered. Hence, a comprehensive GEP model incorporated with Feed-in-Tariff (FIT) mechanism is proposed. By considering a restructured environment, gravitational search algorithm (GSA) is employed to find the optimal GEP strategy from a generation company point of view. The numerical studies confirm the fact that sufficient incentive policies intervention is treated as a necessity in the renewable expansion planning resulting in more environmental protection.