Solution to security constrained unit commitment problem using genetic algorithm

• Published in: International journal of electrical power & energy systems Vol. 32; no. 2; pp. 117 - 125
• Main Authors: Senthil Kumar, V., Mohan, M.R.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2010; Elsevier
• Subjects: Applied sciences; Economic dispatch; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Genetic algorithm; Lambda iteration technique; Miscellaneous; Operation. Load control. Reliability; Optimal power flow; Power networks and lines; Unit Commitment; Unit Commitment; Economic dispatch; Lambda iteration technique; Optimal power flow; Genetic algorithm; Performance evaluation; Dispatching problem; Power system planning; Optimization method; Iterative method; Power distribution planning; Forecasting management; Bus system; Electrical network analysis; Transmission line; Electrical network; Economic aspect; Economic impact; Safety; Effectiveness factor
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2009.06.019

In this paper Optimal Power Flow (OPF) with line flow constraint is incorporated in solving the Unit Commitment (UC) problem using Genetic Algorithm (GA). In this proposed approach the problem is solved in two phases. In the first phase unit commitment is solved with prevailing constraints, without line flow constraint by genetic algorithm. In the second phase the violations in the lines are minimized for a committed schedule using GA based OPF. The resulting solution minimizes line flow violations in the critical lines under unit’s decommitted hours by adjusting the unit generations. In this paper, a 66-bus Indian utility system with 12 generating units and 93 transmission lines is considered to exhibit the effectiveness of the proposed approach.