Research on the Optimization Method of Power Supply Automatic Planning Based on Fuzzy Immune Algorithm
In order to meet the growing demand for electricity and energy,the scale of integrating distributed power sources into the large power grid is gradually increasing.However,due to the irregular characteristics of renewable energy sources such as wind and solar energy,the power output is uncertain,which can easily lead to uneven distribution of power energy and affect the stable op-eration of the power grid.Therefore,a fuzzy immune algorithm based automatic power planning optimization method for power grids is proposed.Build a mathematical model for power grid power sources(thermal power,wind power,hydraulic power,and photovoltaic power),based on which,with investment costs,network losses,and environmental benefits as objectives,construct an optimization objective function for automatic planning of power grid power sources,and determine the constraints-power source capacity con-straints,power balance constraints,and power supply reliability constraints,Based on the fuzzy immune algorithm,the optimal auto-matic planning and optimization scheme for power sources can be determined.By executing the determined scheme,the automatic planning and optimization of power sources in the power grid can be achieved.The experimental data shows that under different exper-imental conditions,the minimum frequency of power shortage obtained by the proposed method is 4％,the minimum cost of power planning optimization is 1.01 million yuan,and the minimum pollutant emission is 10 mg/m3,fully confirming that the proposed method has better power planning optimization effect.
power grid systemautomatic planningdifferent scenariosdistributed power supplyfuzzy immune algorithmop-timize configuration
万方数据
维普
