Turkish Journal of Electrical Engineering and Computer Sciences
Abstract
This paper presents a solution for the emission-controlled economic dispatch (ECED) problem of medium-sized power systems via an artificial bee colony algorithm. The ECED problem, which accounts for the minimization of both the fuel cost and the emission, is a multiple objective function problem. The objective is to minimize the total fuel cost of the generation and environmental pollution caused by fossil-based thermal generating units and to also maintain an acceptable system performance in terms of the limits on the generator's real and reactive power outputs, bus voltages, shunt capacitors/reactors, and power flow of transmission lines. The proposed algorithm is validated on an IEEE 30-bus system with 6 generating units. The results of the proposed technique are compared with that of the particle swarm optimization technique. The proposed approach is also tested on the Algerian 59-bus network and compared with global optimization methods (fuzzy genetic algorithm and ant colony optimization). The results show that the approach proposed can converge to a near solution and obtain a competitive solution in a critical situation and within a reasonable time.
DOI
10.3906/elk-1106-10
Keywords
Optimal power flow, power systems, pollution control, NO_x emission, artificial bee colony
First Page
1515
Last Page
1527
Recommended Citation
SLIMANI, L, & BOUKTIR, T (2013). Economic power dispatch of power systems with pollution control using artificial bee colony optimization. Turkish Journal of Electrical Engineering and Computer Sciences 21 (6): 1515-1527. https://doi.org/10.3906/elk-1106-10
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