Dynamic Reactive Power Optimization Based on Genetic Algorithms in Power Systems

The genetic algorithm is applied to reactive power optimization. The establishment of a genetic algorithm for reactive power optimization model based clustering algorithm for the day through the system load curve cluster sub-period, and in the establishment of dynamic reactive power optimization model type variety, based on the use of genetic algorithms in all the major periods of discrete control variables to optimize the adjustment. It successfully resolves the problem of reactive power optimization of discrete variable and avoids the problem of local optimum conventional mathematical optimization methods. In the meantime, the optimization given for reactive power optimization provides a new algorithm this algorithm, which has been used in IEEE 30-bus system to improve the voltage quality of the network and reduce system power loss. Furthermore, it enhances the security, stability and economy of the entire grid, and achieves good results.