Research On Reactive Power Optimization Of Offshore Wind Farm Based On Multi-objective Genetic Algorithm

Since the beginning of the 21 st century,the development and application of new energy has been paid more and more attention by governments.Scholars' research on wind energy has gradually shifted from onshore wind farm to offshore wind farm development.Offshore wind farm will be a new chapter in wind power research in the future.China is a big wind reserve country,but it has little research in the field of large-scale offshore wind farms.There is still a big gap with advanced foreign wind power technology.Studying offshore wind farms has practical engineering significance.In this paper,a large-scale offshore wind farm is taken as the research object.This paper proposes a new type of equivalent modeling scheme of offshore wind farm.The scheme uses parallel network transformation to make the wind turbine changing from a hybrid structure to a pure parallel structure,and adopts improved capacity.The weighted stand-alone equivalent method is equivalent.Adopting such a modeling method,it ensures the equivalence accuracy of the equivalent model and the actual model of the offshore wind farm,making the modeling of the offshore wind field closer to the actual operation.The fast non-dominated sorting genetic algorithm with elite strategy is improved,and the crossover and mutation operators are improved to ensure the evolution of the population to the optimal value,and the convergence speed of the population is accelerated.The ZDT series verification function is used to perform simulation and verification.The improved algorithm owns faster convergence speed,better convergence and distribution.Combined with the equivalent model of offshore wind farm,the static reactive power compensation device is used as the compensation method for the existing reactive power problem.Based on the improved genetic algorithm,the minimum reactive power compensation capacity of the offshore wind farm and the minimum voltage deviation of the load node are proposed.The multi-objective reactive power optimization scheme of the objective function is simulated by Matlab.The experimental results are compared with the reactive power optimization of the Pareto evolutionary algorithm before the reactive power optimization,and the effectiveness of the proposed reactive power optimization scheme is verified.