Optimal Placement and Sizing of Distributed Generators and Distributed-Static Compensator in Radial Distribution System: Distributed Generators and Distributed-Static Compensator

Mahesh Kumar, Bhagwan Das, Mazhar Hussain Baloch, Perumal Nallagownden, Irraivan Elamvazuthi and Abid Ali
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Mahesh Kumar: Universiti Teknologi Petronas Malaysia, Iskandar, Malaysia, Mehran University of Engineering and Technology Pakistan, Jamshoro, Pakistan
Bhagwan Das: Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan
Mazhar Hussain Baloch: Mehran University of Engineering and Technology, Khairpur Mir's Campus, Jamshoro, Pakistan
Perumal Nallagownden: Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Jamshoro, Malaysia
Irraivan Elamvazuthi: Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS (UTP), Jamshoro, Malaysia
Abid Ali: Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Jamshoro, Malaysia

International Journal of Energy Optimization and Engineering (IJEOE), 2019, vol. 8, issue 1, 47-66

Abstract: The electricity demand increment, fossil fuel depletion, and environmental degradation open the interest of power utilities to utilize the distributed generation (DG) and distributed-static compensator (DSTATCOM) in the distribution system. The optimal placement and sizing of these generations have positive benefits, whereas non-optimal placement and size may worsen the existing operational characteristics of the distribution system. Therefore, this article presents a new methodology for optimal placement and sizing of distributed generation and distributed-static compensator in a radial distribution system. Moreover, a short-term planning has been made for power loss reduction with existing and increased load growth using particle swarm optimization (PSO) algorithm. The performance of proposed methodology is tested using different case studies on standard IEEE 33 bus system (RDS). The measured results are also compared with other literature methods and it is revealed that the proposed method gives more significant results.

Date: 2019
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