Multi-objective Low-carbon Economic Dispatching for Power Grid Integrated with Wind Farm by Considering Demand Response

By combining the generation cost, carbon emissions and customers satisfaction, the multi-objective and low-carbon economic dispatch model for power grid integrated with wind farm is built by considering demand response. The stochastic programming theory is used in this model to describe the uncertainty of the wind power, and the model is converted to an equivalent deterministic model by using distribution function of wind power output. In addition, the load curve of next day is adjusted by optimizing demand side resources to improve load rate and absorptive capacity of wind power. Furthermore, customers satisfaction constraint is introduced to ensure that the scheduling scheme satisfies customer. And the resources of source and load can be unified coordinated to meet the requirements of the application of large-scale grid-connected wind farm, the energy-saving and emission-reduction. Through introducing tabu search and more targeted search mechanism in searching process of artificial fish swarm algorithm, a multi-objective improved artificial fish swarm algorithm is proposed to solve this model by introducing multi-objective searching mechanism. And by using the technique for order preference by similarity to ideal solution (TOPSIS) to sort the Pareto frontier, the optimal scheduling scheme is determined. In the end, simulation results verify the rationality and validity of the proposed model and algorithm.