Reactive Power Optimization Of Distribution Network Based On Modified Chaos Genetic Algorithm

Reactive Power Optimization is an important method for power system toguarantee its running safety and economical efficiency. Distribution network usuallylies in the end of the power grid and contains lots of distributed load nodes to supplypower for long distance, which cause those problems of low power factor, reactivepower shortage, great line power loss and serious voltage decrease. So it has boththeoretical research value and practical guidance significance to study the reactivepower optimization of distribution network in order to improve the quality of powersupply and reduce power loss.Distribution network power flow calculation method is both the base and tool fordistribution network reactive power optimization. The method’s calculation speed andConvergence ability will affect the optimizations directly. As a result, firstly a simpleimplement method of back/forward sweep distribution network power flow isproposed. It’s easy to number the network by this method and the program is notcomplicated, either. The calculation results turn out to be exact and efficient.Secondly, the Chaos Genetic Algorithm is improved to applied to reactive poweroptimization of distribution network aimed at minimizing the total active power loss.Sensitivity analysis method is used to select the compensation locations for reactivepower optimization while the load power impedance moment index is introduced tohelp avoid the nodes selected from being too near just like “distance” control.Finally, according to the features of distribution network, write the program by Clanguage to realize the reactive power optimization of distribution network. And theprogram is test by examples.