Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network

The need for energy and environmental sustainability as a result of the significant concern for mitigating the effects of climate changes has notedly encouraged the deployment of more renewable energy resources towards mitigating greenhouse gas emission crisis. However, there is a need for proper planning of variable renewable energy sources penetration to meet the techno-economic criteria for reliable operation of a distribution network which includes loss reduction, voltage stability improvement, voltage profile enhancement and so on. Hence, optimally coordinated planning of dispersed and centralized renewable energy resources-based power generations can provide a better solution approach. In this study, a two-stage optimal coordination of localized and centralized generation is proposed using multi-objective multi-verse optimization (MOMVO) technique for simultaneous minimization of investment cost and voltage profile enhancement. The first optimization stage determines the optimal locations and sizes of the dispersed generation units. The capacity size of pre-located centralized generation units is determined in the second stage with adequate consideration of the results of the first stage. The real 68-bus distribution network with three main distribution feeders in Kabul city, is considered as the test case for simulation on MATLAB (R) environment.

Automated summary

This study proposes a two-stage optimal coordination of localized and centralized generation using multi-objective multi-verse optimization technique to simultaneously minimize investment cost and enhance voltage profile. The optimal locations and sizes of dispersed generation units are determined in the first stage, while the capacity size of pre-located centralized generation units is determined in the second stage with adequate consideration of the results of the first stage.