Power Planning Based On The Energy Storage Station To Improve The Consumptive Capacity Of Wind Power

In recent years, energy saving, energy and environmental sustainability in the background, large scale wind energy development and utilization. However, with the increasing capacity of the power stroke motor planning group is bound to make wind turbines and network operation certain impact on the grid, even when necessary, will wear down the grid, so the power of the wind power capacity planning has some limit,this will inevitably cause a large number of abandoned wind,This article is for the now abandoned wind farm in serious phenomenon studied, proposed the use of energy storage power plants to increase the absorptive capacity of wind power. In this study, the analysis of the energy storage power plants, wind power is different from the characteristics of traditional energy generation and the impact and challenges brought about by the traditional power system planning. Energy storage power station operation mechanism(type of energy storage power station, access to the wind farm,the control strategy, etc.) for the load power supply planning issues involved predicted energy value terms, programming model and algorithm-depth study the establishment of a comprehensive long-term forecasting model regional power system load; On the basis of comprehensive consideration of environmental and social benefits, market competitiveness on the absorptive capacity of wind power to the maximum and the minimum investment in the national economy as the objective function is constructed that contains thermal power, energy storage power plants, large-scale wind power planning models, and the use permit this strategy of wind power fluctuations within a certain range to reduce capital and operating costs of energy storage power station;Storage reliability indicators proposed wind farm capacity credit gain rate, energy storage for lack of electricity with wind farms gain coefficient, energy storage for wind power penetration limit gain coefficient increase storage capacity of wind power consumptive, Finally improved genetic algorithm to solve the model, and thesimulation calculation for an area power plant planning. Research to enrich and improve the related theory of wind power, electric power systems, and promoting the development of the national wind power and electric power industry.