Abou El-Ela, A., Kinawy, A., El-Sehiemy, R., Mouwafi, M. (2010). Security constrained optimal dispatch using ant colony optimization algorithm. test, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-20. doi: 10.21608/iceeng.2010.33027
A. A. Abou El-Ela; A. M. Kinawy; R. A. El-Sehiemy; M. T. Mouwafi. "Security constrained optimal dispatch using ant colony optimization algorithm". test, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-20. doi: 10.21608/iceeng.2010.33027
Abou El-Ela, A., Kinawy, A., El-Sehiemy, R., Mouwafi, M. (2010). 'Security constrained optimal dispatch using ant colony optimization algorithm', test, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-20. doi: 10.21608/iceeng.2010.33027
Abou El-Ela, A., Kinawy, A., El-Sehiemy, R., Mouwafi, M. Security constrained optimal dispatch using ant colony optimization algorithm. test, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-20. doi: 10.21608/iceeng.2010.33027

Security constrained optimal dispatch using ant colony optimization algorithm

The International Conference on Electrical Engineering
Article 60, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Pages 1-20    PDF (344.63 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33027
Authors
A. A. Abou El-Ela1; A. M. Kinawy1; R. A. El-Sehiemy2; M. T. Mouwafi1
1College of Engineering, Minoufiya University, Minoufiya, Egypt.
2College of Engineering, Kafrelsehiekh University, Kafrelsehiekh, Egypt.
Abstract
Abstract:
This paper proposes a procedure for solving a security constrained optimal dispatch
(SCOD) problem under normal and emergency conditions using ant colony optimization
(ACO) algorithm. The objective function is to minimize the non-linear generation cost
function by optimizing the settings the real power generation outputs under equality and
inequality constraints. The proposed algorithm is applied to 5-bus system, IEEE 14-bus
and IEEE 30-bus test systems. An application of the proposed algorithm to the west
Delta network (WDN) as a part of the Unified Egyptian Network (UEN) considering the
valve-points effects has been demonstrated. Numerical results are compared with those
obtained using conventional optimization techniques as linear programming (LP), fuzzy
linear programming (FLP) technique and genetic algorithm (GA). Simulation results
show that the proposed ACO algorithm for the SCOD is more accurate and efficient,
especially with increasing the system size.
Keywords
Optimal dispatch; security; Ant colony optimization algorithm; Valve-points
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