An Optimal Approach For Placement Of Distributed Generation In Radial Distribution System Considering Load Variation

Abd Halim, Mohd Nazri (2018) An Optimal Approach For Placement Of Distributed Generation In Radial Distribution System Considering Load Variation. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Distributed generation (DG) devices can be advantageously placed in power systems for minimizing real power losses, grid reinforcement, improving bus voltages and efficiency of distribution system. One of the real concerns identified with the distributed generation (DG) is the effect on system stability because of the interaction amongst generators and load characteristic. It is shown that load in distribution system will affect significantly the optimal placement and sizing of DGs in distribution system. Load increase and vice versa the voltage profile will drop below tolerable limit along distribution feeders. Multi-objective function is generated to minimize the total power loss, average total voltage harmonic distortion and voltage deviation improvement in the distribution system. Six different load levels in percentage of load have been considered in this study. The improved gravitational search algorithm (IGSA) is proposed as an optimization technique and its performance is compared with other optimization techniques such as particle swarm optimization (PSO) and gravitational search algorithm (GSA). The Newton-Raphson load flow algorithm from MATPOWER was simulate in MATLAB to solve the proposed multi-objective. This method is tested on the 69-bus and 33-bus distribution system with six case studies. The result will illustrate the losses minimization, average voltage deviation improvement and average total harmonic distortion in the distribution system when load variation was considering by placement of DGs unit in distribution system. Data analysis and result obtain can be used to other else as a reference when related with optimal approach for placement DGs in distribution generation in radial network considering load variation.

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