Security Constrained Optimal Dispatch Using Genetic Algorithms for Normal and Emergency Conditions

Abstract

This paper presents a proposed technique for security constrained optimal dispatch (SCOD) problem under normal and emergency conditions. In this technique a modified version of the genetic algorithm (GA) is used. The SCOD problem is formulated using non-linear unit cost functions and solved by the proposed technique. The results obtained using this technique are compared with those obtained using a conventional linear programming technique and with those obtained using fuzzy modeling technique. The comparison studies are performed considering the changes in system constraints as: membership models in f i m y technique and chromosomes in GA technique. Numerical studies of fuzzy modeling are based on the fuzzy linear programming (FLP) technique with fuzzy constraints of different shapes for their membership functions. Simulation results show that the proposed GAbased technique for SCOD is more accurate and efficient, especially with increasing the system size.

Security Constrained Optimal Power Dispatch Using Ant Colony Optimization Algorithm

“…The results are obtained using ACO algorithm that processed using MatLab code version 7.1 that setup on a Pentium 4, 3.0 GHz PC, 0.99 GB of ram. Tables 1, 2 and 3 show a comparison between the results obtained using ACO algorithm and the previous results using conventional LP, the FLP and GA [14]. In theses tables, the ACO algorithm has the minimum generation cost compared with other techniques.…”

“…Three standard test systems and a real power system are used to study the proposed technique for SCOPD using an ACO algorithm. The first test system contains 5 buses and 7 transmission lines [14]. The second system is IEEE 14-bus test system [15], while the third is IEEE 30-bus test system [15].…”

“…However the ratings of the other lines in the three systems are below their security limits. The results that obtained are compared with those obtained in a previous work using a conventional linear programming (LP), the fuzzy linear programming (FLP) and the genetic algorithm (GA) technique [14]. The real power system is the WDN system (Fig.…”

Security constrained optimal dispatch using ant colony optimization algorithm

“…Three standard test systems and a real power system are used to study the proposed technique for SCOD using an ACO algorithm. These standard systems are 5-bus [15], IEEE 14-bus and IEEE 30-bus test systems [16]. The 5-bus system has three generator units at buses 1, 2 and 5.…”

“…2. The results that obtained are compared with those obtained using conventional optimization techniques namely linear programming (LP), fuzzy linear programming (FLP) and genetic algorithm (GA) techniques [15]. The best values of ACO algorithm parameters are α =1, β=8, ρ=0.…”