Optimal Power Flow Solution in the Presence of Renewable Energy Sources

In the present work, the renewable energy sources are integrated into the power system. For this purpose, the wind-rich locations and sunny areas are identified in the considered system. A novel persistence-extreme learning machine algorithm is proposed. The wind speed and solar insolations are forecasted in short-term and long-term time periods in the identified areas using the proposed method. With the penetration of wind and solar powers in the system, the optimal power flow problem is solved in 12 different identified cases. The results are analyzed in the prospective of voltage deviation and active power loss. It is observed that the voltage deviation is more in the short-term as well as long-term time horizons with wind and solar integration, but the active power losses are less compared to remaining cases. The analysis is carried out by considering Andhra Pradesh-14-bus system and a 124-bus Indian utility real time system (IND-124). The entire simulation is carried out with the help of MATLAB 2013a.