Optimal Power Flow Solution Including Stochastic Renewable Resources

Abstract

This paper proposes a probabilistic power flow multiobjective optimization for solving a hybrid wind and solar power system. In this study, some conventional generators are replaced with renewable sources as wind and photovoltaic (PV) power for IEEE 30-bus standard test system. The randomness of power generated by wind and PV is modeled. The problem is solved based on expected values of generated renewable power using the Probability Density Function (PDF) and the Cumulative Density Function (CDF). Weibull and lognormal probability density function are used to calculate available wind and solar power, respectively. Two cases (with and without renewable sources) were considered in the evaluation. The simulation results show that the proposed algorithm ensures better performance than other optimization approaches found in the literature.