Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models

摘要: The optimal reactive power dispatch (ORPD) problem is a very important aspect in system planning, and it highly non-linear, non-convex optimization because consists of both the continuous discrete control variables. Since has an inherent uncertainty, this paper presents deterministic stochastic models for ORPD multi-objective single-objective formulations, respectively. model considers three main issues including real loss, voltage deviation, stability index. However, model, uncertainties demand equivalent availability shunt compensators have been investigated. To solve them, we proposed new modified harmony search algorithm (HSA), implemented single forms. Since, like many other general purpose methods, original HSA often traps into local optima, efficient method called chaotic (CLS) global operator are internal architecture to improve its ability finding best solution complex, with different types constrains, i.e. excitation settings generators, sizes fixed capacitors, tap positions changing transformers, amount compensation devices. Moreover, fuzzy decision-making employed select from set Pareto solutions. individually examined applied on test systems. simulation results show that suitable effective compared available algorithms.