Shokolakova, Shinar K.Keshuov, Seitkazy A.Saukhimov, Almaz A.Tokhtibakiev, Karmel K.Ceylan, OğuzhanShuvalova, Jelena2019-06-282019-06-28201820976-63400976-6340https://hdl.handle.net/20.500.12469/1605Kazakhstan plans to support integration of renewable energy sources (RES). For instance according to [12] until 2020 it is planned to connect 53 RES with a total value of 2000 MW. From those 53 RES most of them will be located in rural areas and will be connected to electrical power distribution grid. Power losses is an important problem in Kazakhstan power systems and largest share of power losses are related to distribution system losses and are approximately 65 %. Using RES as distributed generators (DGs) in near future in order to reduce power losses may be one of the important tasks of Distribution System Operators (DSOs) of Kazakhstan. Approach of minimizing power losses may be applied by changing the injected/absorbed active and reactive powers at the points of DG connection [12]. This paper models the power losses optimization problem by using a recently developed heuristics based optimization model: Moth Flame Optimization (MFO). It solves the power loss minimization problem on a modified 33 bus electrical grid with DGS. © IAEME Publicationeninfo:eu-repo/semantics/closedAccessDistributed GenerationOptimization AlgorithmsPower LossesRenewable Energy SourcesArticle13961404792-s2.0-85052903821