2014 Australasian Universities Power Engineering Conference (AUPEC) 2014
DOI: 10.1109/aupec.2014.6966560
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Economic load dispatch with valve-point loading effect by using Differential Evolution Immunized Ant Colony optimization technique

Abstract: Economic load dispatch is conducted by the utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practical solution, several considerations such as prohibited operating zones, valve-point effect and ramp-rate limit need to be taken into account. However, these considerations cause the optimization to become complex and… Show more

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Cited by 9 publications
(7 citation statements)
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“…The ants that provide the most accurate solution and serve as the best solution will be selected using global updating rules. The rules for global updating rules are as follows [1]:…”
Section: Global Updating Rulementioning
confidence: 99%
See 1 more Smart Citation
“…The ants that provide the most accurate solution and serve as the best solution will be selected using global updating rules. The rules for global updating rules are as follows [1]:…”
Section: Global Updating Rulementioning
confidence: 99%
“…Information about final paper submission is available from the conference website. The process of determining the appropriate operating costs for generation scheduling to meet the requirements of the load within a certain period is recognized as Economic Load Dispatch (ELD) [1]. Economic dispatch algorithm only considers cost that is directly associated with the generator operation, primarily the fuel cost.…”
Section: Introductionmentioning
confidence: 99%
“…There are many methods of meta heuristic optimization techniques to solving the non-smooth cost economic dispatch problem such as simulated annealing (SA) [2][3][4][5], genetic algorithm (GA) [6][7] and tabu search (TS) [8][9], particle swarm optimization (PSO) [10][11][12][13], ant colony optimization (ACO) [14][15][16][17], cuckoo search algorithm (CSA) [18][19][20], bat algorithm (BAT) [21][22], firefly algorithm (FFA) [23][24] and bee colony optimization (BCO) [25][26][27][28][29]. There are probabilistic heuristic algorithms which have been successfully used to solve the economic problem.…”
Section: Introductionmentioning
confidence: 99%
“…So they prove to be a bit slow in their approach towards the global optimum solution. With the development in the computer technology, many new population based heuristic optimization techniques have been introduced, like differential evolution (DE) [8], hybrid evolutionary programming (HEP) [9], evolutionary programming (EP) [10], civilized swarm optimization (CSO) [11], particle swarm optimization (PSO) [12], craziness based PSO (CRPSO) [13], hybrid PSO (HPSO) [14], modified PSO (MPSO) [15], hybrid GA (HGA) [16], genetic algorithm (GA) [17],adaptive real coded GA (ARCGA) [18], bacteria foraging optimization (BFO) [19], modified artificial bee colony (ABC) [20], modified biogeography based optimization (BBO) [21], seeker optimization algorithm (SOA) [22], ant colony optimization (ACO) [23], tabu search (TS) [24], and quasi oppositional BBO (QOBBO) [25] , oppositional BBO (OBBO) [26], harmony search algorithm (HSA) [27] for solving ELD problems. Other optimization algorithms have been proposed to solve the ELD problem, like the opposition based harmony search algorithm (OHSA) which was introduced by [28].…”
Section: Introductionmentioning
confidence: 99%