A Study on Optimal Power Solution through Optimization Technique in Solar Power

This research work tries to deal with renewable energy [RE] sources where the RE is integrated into the power supply system. In order to proceed with this work, windy, as well as sunny areas, were selected. For this purpose, a persistence-extreme-based learning algorithm was used. Both the long-term and long-term forecasting of solar insolation and wind speed was done in the selected area using the proposed algorithm. The solar and wind power penetration of the system helps in solving the optimal power-flow issue in almost twelve different cases. The outcome analysis was done through active power loss and V (voltage) deviation. From the outcome, it was found that the V-deviation was high during both the long and short term due to the horizons of solar integration and wind at the same time the active power loss was less when compared to V-deviation. The proposed method was done in Andhra Pradesh belongs to the South part of India where 14 bus systems and 123 IND [Indian utility real-time system] were selected for the study. The simulation process was done using MATLAB (2013) version A.