"Friendly" Large-scale Grid-connected Renewable Energy System Of Active Power Optimization Research

With the progress of economy,the global energy increasingly dried up,the deteriorating environment,in order to deal with these problems,research began to tend to renewable energy,such as wind and solar energy field,so the large-scale grid-connected scenery is the inevitable trend of the future power grid development.Scenery power is strong,however,intermittent and randomness is bound to affect the stable operation of the grid system and optimization control.In order to realize the "friendly" grid connection of large-scale wind power generation,this paper has carried on the optimized research on the active power of the large-scale wind power grid-connected system.First of all,to the wind,light power output characteristics were analyzed,and concluded that scenery complementary features,for large-scale scene interconnection and power optimization problems are discussed,based on this,advances based on the time scale of "scenery complementary,energy storage combined with" the power optimization strategy,long time scales(annual and seasonal)use of scenery complementary,short time scales(minutes)combined with energy storage system for grid-connected power further smooth optimization,to meet the requirements of grid-connected scenery.The smooth optimization strategy is verified by an example analysis of the feasibility and effectiveness.Secondly,for the reasonable configuration of the energy storage system,according to the characteristics of the landscape power fluctuations,power smoothing effect is analyzed and the relationship between the energy storage system capacity configuration,given the nature of the different energy storage device,this paper proposes a hybrid energy storage application and smooth optimization of grid power,extend the smooth optimization strategy based on a single energy storage and energy storage system capacity allocation method.Considering the energy storage system charged state of(SOC)and power limit established on the basis of the optimal economic targets for energy storage optimization configuration model,using particle swarm optimization algorithm to solve it.Results show that the hybrid energy storageis not only better smooth power fluctuation,and greatly improve the efficiency of grid system.Finally,in view of the large-scale landscape store grid-connected system,with economic benefit,environmental benefit and power volatility power coordination optimization model is established with the target,and puts forward the improvement of adaptive chaotic particle swarm optimization algorithm to solve the optimization model,the calculation results verify the rationality of the multi-objective optimization model and optimization algorithm,not only improves the economic benefit and environmental benefit,but also greatly reduces the power grid volatility,realize the large-scale landscape store the "friendly" interconnection of power systems.