An Estimation Model of Extreme Accessible Capacity of Distribution Network Based on Fruit Fly Optimization Algorithm
There are many uncertain factors in the distribution network,and the reliability of the allocation process of the acces-sible capacity is lower.Therefore,a model for estimating the extreme accessible capacity of the distribution network based on the fruit fly optimization algorithm is proposed.This paper establishes the boundary conditions of the accessible capacity,ana-lyzes the uncertain factors in the distribution network,calculates the mathematical expectation and variance of the interference factors,calculates the extreme maximum access capacity of the distribution network,improves the fruit fly optimization algo-rithm,converts the nonlinear part into linear,establishes the estimation model of the extreme accessible capacity of the distri-bution network,updates the basic parameters,and solves the estimation value of the extreme accessible capacity of the distribu-tion network.The experimental results show that the estimated results are more reliable and closer to the measured values,and can deal with larger random volatility problems.It reduces the impact of uncertainty factors and ensures the reliability of the al-location process of the accessible capacity.
distribution networkaccessible capacityfruit fly optimization algorithmestimation model
万方数据
维普
