A novel hybrid Chi-Mo optimisation algorithm-based PV-fed STATCOM for performance improvement of power distribution system

Abstract

The use of solar photovoltaic (PV) energy is increasing due to rising energy demand and environmental concerns, providing a sustainable energy supply in a clean environment and satisfying the need of large-scale industries. PV-fed power system causes various power quality problems in the system, which degrades its performance. The power quality problems are handled by one of FACTS devices such as STATCOM. In this paper, a novel optimisation method called hybrid Chi-Mo is implemented to optimise the parameters of the proportional–integral controller, which controls the STATCOM operation. The proposed hybrid Chi-Mo meta-heuristic algorithm combines standard characteristic features such as prognosticate and fission–fusion characteristics. The system's effectiveness is evaluated using comparative analysis with different optimisation methods such as Particle swarm optimisation (PSO), Chimp optimisation algorithm (COA), Spider Monkey Optimisation (SMO), and it is investigated that the proposed system gives better performance compared with other ones.

KEYWORDS:

• Power quality
• PV-fed STATCOM
• hybrid Chi-Mo optimisation
• proportional–integral controller

Disclosure statement

No potential conflict of interest was reported by the author(s).