A Novel Social-environmental-economic Dispatch Model for Thermal/wind Power Generation and Application

A novel model including social, environmental and economic benefits is proposed in hybrid thermal/wind power system and studied by Karush-Kuhn-Tucker and hybrid particle swarm optimization techniques. Our work is the first to develop social dispatch model by calculating risk caused by wind power. Then the novel multi-objective optimization model of social-environment-economic dispatch is established. Karush-KuhnTucker method is used to convert multi-objective model into single-objective one. Particle swarm algorithm and multiplier method are combined to solve constraint optimization problem. So an improved Karush-Kuhn-Tucker and hybrid particle swarm optimization algorithm is proposed. Several scenarios are discussed to evaluate the simulation of three optimization models respectively considering economic dispatch, environmental-economic dispatch, and social-environmental-economic dispatch. The experimental studies show that the proposed algorithm is more accurate with less computational time than commonly used optimization methods. The actual implementation results demonstrate that the model and algorithm are effective and practical to improve the security of power system and reduce power operation costs, energy consumption and emissions.