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Mehmet Fatih TEFEK1 , Mehmet GÜÇYETMEZ2 , Harun UĞUZ3
Economic dispatch problem (EDP) is a balance problem between the minimum fuel cost and demanded power within the active power limits. In this study, economic dispatch problem was implemented by the Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Teaching Learning Based Optimization (TLBO) and Gravitational Search Algorithm (GSA) on the power systems of 850 MW including 3 active bus with valve-point load effect, 1800 MW including 13 active bus with valve-point load effect to solve the optimum fuel cost and run time for a comparison. Minimum fuel cost in 3 active bus power system was calculated as 8234.086 $/h in 3.28 s by the TLBO method. In 13 active bus power system, it is calculated as 18019.15 $/h in 8.95 s by the PSO method.
Keywords
Economic Dispatch Problem,
Particle Swarm Optimization,
Valve-Point Load Effect,
Power Systems,
Optimization Algorithms ,
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