Voltage Stability Enhancement Along with Line Congestion Reduction Using UPFC and Wind Farm Allocation and Sizing by Two Different Evolutionary Algorithms

Due to the growing demand of electricity, adding the new power lines for compensating the demand is not possible. Connecting the renewable energy sources, as a favourable alternative source of energy, to the power grid makes some new challenges. In this paper, allocating and sizing the UPFC along with wind farms is covered. The most important purpose of this study is to mitigate the congestion of the power transmission line along with improving the voltage stability margin. For this objective, two important evolutionary algorithms, namely Genetic Algorithm and Particle Swarm Optimization are utilized for finding the optimum size and place of the UPFC and wind farm. An IEEE 24 bus RTS system is simulated. Load data is selected according to IEEE database and mimic the real load situation. The wind data is collected from Manjil, a city in north of Iran, and the output power of the wind farms is simulated. At the end, the optimum place and size for UPFC and wind farm is presented in order to have the minimum congestion for transmission line along with maximum voltage stability margin, system load ability.