A Hybrid Approach Based on GA and Monte Carlo Simulation for Improvement of the System Power Factor by DG and STATCOM in Distribution Systems

Singh B^* and Pratap A

Department of Electrical Engineering, Kamla Nehru Institute of Technology (KNIT), Sultanpur, Uttar Pradesh, India

*Corresponding Author : Singh B
Department of Electrical Engineering, Kamla Nehru Institute of Technology (KNIT), Sultanpur, Uttar Pradesh, India
Tel: 05362-240674
E-mail: bindeshwar.singh2025@gmail.com

Received: July 20, 2017 Accepted: January 15, 2018 Published: January 22, 2018

Citation: Singh B, Pratap A (2018) A Hybrid Approach Based on GA and Monte Carlo Simulation for Improvement of the System Power Factor by DG and STATCOM in Distribution Systems. J Electr Eng Electron Technol 7:1. doi: 10.4172/2325-9833.1000152

This paper presents a hybrid approach based on Genetic Algorithms (GA) and Monte Carlo Simulartion (MCS) are used as a optimization technique of objective function such as minimization of real power loss of the system for improvement of the system power factor by distributed generations (DG) (such as T2 operating at different power factors i.e.0.91, 0.92, 0.94, 0.96 and 0.98 leading, respectively) and incorporated static synchronous compensator (STATCOM) with different load models (DLMs) such as constant, industrial, residential, commercial and reference load models in distribution systems from minimum total real power loss of the system viewpoint. In this paper, T2 type of DG is considered on the basis of real and reactive power deliviered/absorbed characteristics from the system bus. DG incorporated with STATCOM can be working in different modes of operations such as generating, floating and load modes, respectively in distribution systems with different loading conditions. The proposed methdology has been tested for IEEE-16 bus test system. This work is very much useful for reseachers and scientific persons regarding the improvement of the system power factor by DG and STATCOM with different load models (DLMs) in the distribution systems from minimization of real power loss of the system. This work also helpful for people working in the field of renewable energy sources.