A solution to the optimal power flow using genetic algorithm

• Published in: Applied mathematics and computation Vol. 155; no. 2; pp. 391 - 405
• Main Authors: Osman, M.S., Abo-Sinna, M.A., Mousa, A.A.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 06.08.2004; Elsevier
• Subjects: Calculus of variations and optimal control; Economic dispatch; Exact sciences and technology; Genetic algorithms; Load flow; Mathematical analysis; Mathematics; Nonlinear programming; Numerical analysis; Numerical analysis. Scientific computation; Numerical methods in mathematical programming; Numerical methods in mathematical programming, optimization and calculus of variations; Sciences and techniques of general use; Economic dispatch; Nonlinear programming; Genetic algorithms; Load flow; Non linear programming; Optimal power flow; Genetic algorithm; Applied mathematics
• ISSN: 0096-3003; 1873-5649
• DOI: 10.1016/S0096-3003(03)00785-9

Optimal power flow (OPF) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units. It is therefore of great importance to solve this problem as quickly and accurately as possible. This paper presents the solution of the OPF using genetic algorithm technique. This paper proposes a new methodology for solving OPF. This methodology is divided into two parts. The first part employs the genetic algorithm (GA) to obtain a feasible solution subject to desired load convergence, while the other part employs GA to obtain the optimal solution. The main goal of this paper is to verify the viability of using genetic algorithm to solve the OPF problem simultaneously composed by the load flow and the economic dispatch problem. Six buses system are used to highlight the goodness of this solution technique.