The New Opportunity for Carrying Out a Dynamic Economic Dispatch using the Latest Evolutionary Computation Method
A. N. Afandi
A. N. Afandi, Department of Electrical Engineering, Universitas Negeri Malang (State University of Malang), Jl. Semarang, No. 5, Malang 65145, Jawa Timur, Indonesia.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 114-120 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4184084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Practically, a power system is operated by combined various types of generating units for determining a committed power schedule to meet load demand changes at all period times of the operation in order to reach the most economical operation. The committed power schedule of generating units is obtained by allocating power outputs based on the given load demand at a certain period time for minimizing the total cost considered some constraints. The total cost changes of operation are expressed by dynamic economic dispatch (DED) problems with considering load demand changes for each period time of the operation. In this paper, the harvest season artificial bee colony (HSABC) algorithm is used to solve the DED problem for 24 hours of operating times using IEEE-30 bus system. Simulation results show that the best solution of the problem is obtained by HSABC within the shortest iteration step. The computations used load demand changes for all period times are quick and smooth with stable characteristics of convergences. The DED problem is solved using HSABC in different convergence speeds, power outputs and total operating costs for 24 hours.
Keywords: Dispatch, Dynamic, Economic, HSABC, Power.
Scope of the Article: Construction Economics