Security and Stochastic Economic Dispatch of Power System Including Wind and Solar Resources with Environmental Consideration

With increasing concern of environmental protection, renewable energy sources are widely applied as a mean to reach emission reduction. In this paper, Dynamic Economic Emission Dispatch (DEED) model with security constraints is developed for a system incorporating wind, photovoltaic and non-convex thermal units. Weighted aggregation method is used to enable particle swarm optimization (PSO) to solve environmental/economic multiobjective (MO) problem. The optimization is aimed at minimizing the cost function and emissions of the system while satisfying all operational constraints considering both conventional and renewable energy generators. The model takes into account cost of modern thermal units with multiple valves and penalty costs due to mismatch between the actual and scheduled wind and PV power outputs. The costs include weighted cost depends on the stochastic nature of wind speed and solar irradiance. Moreover, the Newton Rapson optimal power flow is applied in order to maintain transmission line constraints without violation and calculate the total transmission losses depending on the square power flow. With the stochastic wind speed and solar irradiance based on weibull probability density function (pdf), the optimization problem is numerically solved for a scenario involving three conventional, two wind farms and two PV power plants. The simulation results show the feasibility and effectiveness of the proposed model.