Study On Optimal Operation Strategy Of Wind Power-energy Storage System With Liquid Air Energy Storage

With the rapid development of society and the increasing energy consumption in the world,energy conservation,emission reduction and renewable energy power generation have become hot issues concerned by the whole society.However,renewable energy such as wind energy is usually unable to meet the needs of users directly because of its high randomness,so it needs to be combined with energy storage system.Therefore,the wind power-energy storage system has received widespread attention.In order to fully take into account the economy,system stability,wind power utilization and other factors,it is necessary to reasonably plan the operation of the wind power-energy storage system.In view of the above problems,the main research contents of this paper are as follows:Firstly,the multi-objective optimization and intelligent optimization algorithms are studied.An improved multi-objective seagull optimization algorithm based on chaos theory and Levy flight(CLMOSOA)is proposed,which makes use of the ergodicity of chaos theory and the randomness of Levy flight to make up for the disadvantage that the multi-objective seagull optimization algorithm(MOSOA)may converge prematurely and fall into local optimization.Four benchmark functions are used to test,and the results are evaluated by C2 R,IGD and GD performance indicators.The results show that the CLMOSOA has excellent optimization performance and convergence.Then,the basic mathematical model of the wind power-liquid air energy storage(WP-LAES)system is studied.In order to take into account the effect of wind power fluctuation reduction,economy and the stability of energy storage system,a multi-objective optimization model of the WPLAES is established in view of not considering load demand and considering load demand.After solving the optimization model by using the CLMOSOA algorithm proposed in this paper,the experimental results show that when without considering the load demand,the grid-connected power fluctuation rate is reduced by about 12%.When considering the load demand,three operation strategies of system cost priority,liquid air energy storage system stability priority and weighted equilibrium are selected from the Pareto optimal solution,and their costs are 57819.6,103961.9 and73130.3 yuan respectively.Finally,the demand response mechanism is introduced,and the operation strategy of the liquid air energy storage system is formulated after the peak load transfer,which ensures the stability of the system while reducing the operating cost of the system.In this paper,two kinds of demand response coefficients are selected,which are 0.1 and 0.3respectively.When the demand response coefficient is 0.1,the costs of cost priority operation strategy,energy storage system stability priority operation strategy and weighted equilibrium operation strategy are 49415.7,103527.8 and 66630.9 yuan respectively,and when the demand response coefficient is 0.3,the costs of the three operation strategies are 39680.6,94760.2 and 60926.0 yuan,respectively.After adding the demand response mechanism,the costs under the two demand response coefficients are lower than those without the demand response mechanism.35 figures,7 tables,94 references...