Multi-objective Reactive Power Optimization Of Wind Power Distribution Network Based On Improved Ant Lion Optimization Algorithm

In recent years,with the increasing concern of global environmental protection and energy conservation issues,renewable energy generation technologies such as wind power generation are becoming more and more mature.Distributed Generation(DG)technology has become a research hotspot at home and abroad.Wind energy has the advantages of abundant storage,pollution-free,widely distributed,renewable and m ature technology,suitable for large-scale development,and relatively low cost.Attention has been paid by all parties;after wind farm is connected to distribution network,the structure and operation control mode of distribution network will change dramatically.Coordination control should be considered in distribution network automation and demand side management,which will make its control and management more complex.At present,the research direction of domestic and foreign researchers is mainly on the impact of wind power Grid-connected on power system and the optimal operation of distribution network after grid-connected.It has important theoretical and practical significance to study the problems that need to be solved urgently in the optimal operation of distribution network after grid-connected.In view of the obvious randomness and intermittence of wind power,the stochastic fluctuation of its power aggravates the network loss of distribution network.To solve this problem,a reactive power optimization method for distribution network with wind power based on improved ant lion algorithm is proposed in this paper.In view of the influence of wind power integration on power flow distribution in distribution network,this paper uses forward and backward substitution method to calculate and analyze power flow.The wind farm grid-connected nodes are regarded as PQ node loads.Through the test of IEEE33 node system,the influence of wind power integration locationand capacity on active power loss and node voltage is analyzed.The analysis results show that the active power loss and voltage quality of the system can be effectively reduced when the location and capacity of the distributed generation are properly selectedAiming at reactive power optimization in distribution network,a reactive power optimization model aiming at minimizing active power loss and node voltage offset is established,and an improved granular ant lion optimization algorithm is proposed.The standard ant lion optimization algorithm is improved in two aspects:combining chaotic algorithm with ant lion algorithm,introducing the chaotic idea of logistic mapping,increasing the diversity of variables when initializing the population,avoiding the algorithm falling into local optimum;at the same time,integrating elite competition,accelerating the convergence speed of the algorithm and reducing the amount of computation.The correctness and superiority of the algorithm are proved by the performance test of typical objective function The feasibility and validity of the improved algorithm are verified by an example of IEEE33 bus system,which can effectively solve the reactive power optimization problem of wind power grid.