برنامه‌ریزی بلندمدت توسعه شبکه انتقال در بازارهای رقابتی برق بر مبنای سود کاربران با استفاده از الگوریتم ژنتیک

This paper presents a framework for long term transmission expansion planning in power pool competitive electricity markets. In the proposed approach, maximization of network users’ benefits with satisfying of security constraints is considered for determination of transmission expansion strategy. The proposed model is a complicated non-linear mixed-integer optimization problem. A hybrid genetic-based algorithm and Quadratic Programming (QP) is used for optimization procedure. The discrete decision-making variables of the expansion plan are optimized by genetic algorithm, while QP optimizes the continuous ones. For illustration of the approach capabilities, many test results on IEEE-RTS is presented.