This paper presents the application of heuristic optimization techniques for determining optimal placement and sizing of photovoltaic-based distributed generation (PVDG) in a distribution system. The objective functions of the optimization problem, consider a real power loss, voltage deviation, average voltage total harmonic distortion (THD) and system average voltage dip magnitude (SAVDM). Various heuristic optimization techniques were applied and compared in order to determine the optimum placements and sizing of PVDG in IEEE 69-bus radial distribution system. This paper proposed the improved gravitational search algorithm (IGSA) and its performances are compared with two other algorithms such as the gravitational search algorithm (GSA) and particle swarm optimization (PSO). A comparison of the performances is also made using optimization techniques when PVDGs are fixed at critical buses. The test results showed that IGSA outperformed GSA and PSO in finding the optimal PVDG locations and sizes.

Keywords

• Photovoltaic; 
• Distributed generation; 
• Heuristic techniques; 
• Optimization

Title

Solar Energy

Publisher

Pergamon

Publisher Country

Turkey

Indexing

Thomson Reuters

Impact Factor

0.961

Publication Type

Prtinted only

Volume

140

Year

2016

Pages

219-226