Security constrained optimal dispatch using ant colony optimization algorithm

Document Type : Original Article

Authors

1 College of Engineering, Minoufiya University, Minoufiya, Egypt.

2 College 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.

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