KETEP 세계에너지시장정보

1. A siting method for offshore booster station considering the collaborative optimization of wind turbine and wind farm, which is characterized in that it comprises the following steps;Step 1 obtains the internal wind turbine capacity, wind turbine coordinates and output data, the wind farm capacity, coordinates and output data, the power system transmission equipment information, the target area transmission price and the curtailment compensation electricity price, and the candidate set of offshore booster station site selection;Step 2, according to the wind turbine capacity, wind turbine coordinates and wind turbine output data, the initial population of the wind turbine is generated through the wind farm internal fan topology optimization model, and the net income of each wind turbine is calculated, if the net income of the wind turbine does not meet the termination criterion, the child population is generated, and the net income of each wind turbine is calculated after crossing and mutating the child population, and if the net income of the wind turbine meets the termination criterion, the optimal individual in the current population is obtained;The third step is to generate the initial population of the wind farm through the wind turbine topology optimization model between wind farms, calculate the net income of each wind farm, if the net income of the wind farm does not meet the termination criterion, generate the child population of the wind farm, cross and mutate the child population of the wind farm, and then calculate the net income of each wind farm, and if the net income of the wind farm meets the termination criterion, the optimal individual in the child population of the wind farm after crossing and mutation is obtained, The optimal topology of the wind turbine-wind farm double-layer system under the current offshore booster station site selection was determined.In the fourth step, the optimal topology of the wind turbine-wind farm double-layer system is calculated for the site selection of each candidate offshore booster station in the candidate set, and the topology structure with the largest net income is selected, and the corresponding offshore booster station site is the optimal site.The wind turbine topology optimization model between wind farms is based on genetic algorithm, combined with the wind turbine topology optimization results and wind power smoothing effect in wind farms.