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, Page 1-20 PDF (344.63 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2010.33027 | ||||
View on SCiNiTO | ||||
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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