SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS
Abou El-Ela, A., Bishr, M., Saleh, R., Fetouh, T. (2005). SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS. EKB Journal Management System, 28(2), 137-142. doi: 10.21608/erjm.2005.69890
A. A. Abou El-Ela; M. A. Bishr; R. A. F. Saleh; T. Fetouh. "SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS". EKB Journal Management System, 28, 2, 2005, 137-142. doi: 10.21608/erjm.2005.69890
Abou El-Ela, A., Bishr, M., Saleh, R., Fetouh, T. (2005). 'SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS', EKB Journal Management System, 28(2), pp. 137-142. doi: 10.21608/erjm.2005.69890
Abou El-Ela, A., Bishr, M., Saleh, R., Fetouh, T. SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS. EKB Journal Management System, 2005; 28(2): 137-142. doi: 10.21608/erjm.2005.69890

SECURITY CONSTRAINED OPTIMAL DISPATCH USING GENETIC ALGORITHMS FOR NORMAL AND EMERGENCY CONDITIONS

ERJ. Engineering Research Journal
Article 2, Volume 28, Issue 2, April 2005, Page 137-142  XML PDF (606.08 K)
Document Type: Original Article
DOI: 10.21608/erjm.2005.69890
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Authors
A. A. Abou El-Ela1; M. A. Bishr2; R. A. F. Saleh2; T. Fetouh2
1E!ectrical Engineering Dept.. Fac~rlp qfEng.. Shebin El-Kom, Egypt.
2Department of Electrical Engineering, Faculty of Engineering, Shebin El-Kom Minoufiya University, Egypt
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 fimy 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 GA￾based technique for SCOD is more accurate and efficient, especially with increasing the system
size.
Keywords
Optimal dispatch; Genetic Algorithm; Fuzzy LP; Emergency conditions
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