Reactive power optimization with time-varying fuzzy load demand for distribution systems

In this paper, an algorithm for reactive power optimization with time-varying fuzzy load model (RPOTF) for medium-high voltage distribution networks is presented. This algorithm simplifies the mathematical model of unknown control variables, determines the assumed switching time of control devices and then converts the time-varying optimization model into the same one as static optimization. This methodology considers the uncertainties in load demands, therefore, control devices are believed to need few operations after the optimization. Numerical tests are carried out and results show that the proposed algorithm is practical and efficient for energy loss minimization in distribution systems. At last, this paper discusses the requirements for the application of RPOTF, and presents a solution to put it into practice.