Multi-objective Economic Emission Dispatching for Power Grid Integrated with Wind Farms by Considering Customers Satisfaction

The demand response model is established based on time-of-use price by analyzing the interaction between generation side and demand side, and it is applied in the economic emission dispatch. Proposed model combines such power sources as optimal scheduling wind power, thermal power and demand response (virtual generation resources) to improve wind power accommodation capacity and achieve purposes of energy saving, and changes traditional resource scheduling mode that blindly optimizes power sources at generation side. By comprehensive considering the customers' satisfaction, polluted gas emissions and generation cost, proposed model can ensure system to run in environmental protecting and economic status, and make the scheduling scheme meet the requirement of customers. Through introducing tabu search into the optimized search process of gravitational search algorithm, a multi-objective tabu search-gravitational search algorithm is proposed to solve this model by combing more targeted search mechanism. Simulation results verify the rationality of proposed model and the validity of algorithm.