Optimal power flow solution with non-conventional methods in smart grids

Abstract

In this thesis,firstly,various meta-heuristic optimization techniques have been developed and implemented to deal with different power system problems,such as single and multi-objective optimal reactive power dispatch problem.As the characteristics of ORPD problem in nature are non-linear and non-convex and also are consisting of mix of discrete and continuous variables,some algorithms are developed to deal with discrete ORPD problem in large-scale electric grids. Afterwards,in order to ensure the suitability of the proposed approaches for modern power systems,stochastic optimal power flow(OPF)problem with uncertain reserves from renewable energy sources is studied under different scenarios.Finally,a demand side management(DSM)based meta-heuristic techniques is proposed for home energy management system.The main objective behind this study is to adjust the peak demand and offering the total energy required at minimum cost with high quality.More precisely,in order to make consumers aware of their effective and essential contributions to helping the operator system during emergency cases(requests during peak hours).