Research On Multi-objective Optimization Of Wind Power Planning

In recent years,with the increasing prominence of energy issues and environmental issues,people's awareness of environmental protection has gradually increased,and countries have successively stepped up efforts to develop renewalbe energy sources.As a renewable energy source,wind energy is favored because of its wide distribution,clean and pollution-free characteristics.The access of wind power of different capacities can share the load values of different sizes of traditional units,reduce fuel costs and reduce environmental pollution,increase the economic efficiency of wind farms,and bring great social benefits.On the other hand,China's wind power is rapidly changing from a small-scale,decentralized,and locallyaccepted development approach to a large-scale,high-concentration,long-distance,and highvoltage development approach.With the incorporation of large-scale wind power,the volatility and randomness of wind power output on multiple time scales make it difficult for the power grid to absorb high-permeability wind power,resulting in inevitable abandonment of electricity,which not only damages the economy and safety of the system,but also reduces the utilization of local wind resources.Therefore,it is of great significance to formulate appropriate strategies for wind power planning and guide the orderly and effective integration of wind power generation into the grid.This paper firstly analyzed the various costs and benefits of wind power generation,and established a mathematical model of the economic and social benefits of wind farms.In order to solve the problem of planning disturbance casused by the randomness of wind power output in wind power planning,the BP neural netowrk and non-parametric kernel density estimation method was combined to realize the prediction of wind power point curve and the estimate of wind power forecast error.Then,the system's negative peak-regulating capacity was taken as the evaluation index of the wind-system safety domain,and a multi-objective model of wind power installation planning based on the obtained wind power point curve was proprosed,of which the objectives were economic and social benefits of wind farms and safety domains of systmes.Next,the Pareto frontier of the multi-objective model was calculated using the normalized normal line constraint method.In combination with the wind power forecast error,a variety of different wind power installation planning schemes were obtained.Finally,the simulation based on the actual power grid data of a certain province was used to verify th limitations of the traditional nathematical method(fuzzy theory)for the wind power installation planning problem.The comparison was calculated by comparing the recommended schemes basd on the wind power forecasting error and the compromise scheme basd on fuzzy theory.The comparison verified the superiority of the method proposed in this paper,which can provide wind power planners with more realistic decisions.