en Optimal Multi-Objective Planning of Distribution System with Distributed Generation قدرت Power پژوهشي Research <p dir="ltr" style="text-align: justify;"><span style="text-align: justify;">This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in&nbsp;</span><span style="text-align: justify;">distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is&nbsp;</span><span style="text-align: justify;">based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs.&nbsp;</span><span style="text-align: justify;">Simulation results on 33-bus distribution test system are presented to demonstrate the effectiveness of the proposed&nbsp;</span><span style="text-align: justify;">procedure.</span></p> <p style="text-align: justify;">This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distribution test system are presented to demonstrate the effectiveness of the proposed procedure.</p> Distributed Generation, Distribution networks, Genetic algorithm, Reliability, Weight method Distributed Generation, Distribution networks, Genetic algorithm, Reliability, Weight method 41 48 http://jiaeee.com/browse.php?a_code=A-10-1-177&slc_lang=en&sid=1 M. A. Golkar M. A. Golkar 1003194753284600639 1003194753284600639 Yes S. Hosseinzadeh S. Hosseinzadeh 1003194753284600640 1003194753284600640 No A. Hajizadeh A. Hajizadeh 1003194753284600641 1003194753284600641 No