Optimal power flow approaches for a hybrid system using metaheuristic techniques: a comprehensive review

Abstract

Owing to rapid industrialisation, the need for electrical energy to fulfil the system load demand at the consumer end has increased exponentially. Optimal Power Flow (OPF) techniques play a vital role in power system operation and allocation of power. The research article focuses on comprehensively reviewing OPF algorithms, with the primary aim of optimising and efficiently operating electrical networks. The review spans objective functions, constraints and solution algorithms. It discusses classical approaches, such as linear programming, and explores meta-heuristic techniques like genetic algorithms, simulated annealing, etc. The article provides an exhaustive overview of these approaches, highlighting their strengths, limitations and applications in solving complex OPF problems. Overall, the research is a valuable resource for understanding, comparing and implementing various OPF methodologies. Along with this, an attempt has been made to review the hybridisation of metaheuristic algorithms with their scalable parameters. A complete analysis of the OPF algorithms reported in the literature has been included with an overview of the efficient and optimal operation of power systems. This paper will be of immense benefit to the electrical utility managers, power industry, researchers and other stake holders working in this domain.

KEYWORDS:

• Hybrid algorithms
• linear programming
• metaheuristic algorithms
• nonlinear programming
• optimal power flow
• quadratic interior point

Disclosure statement

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