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Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm

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@article{IJASEIT3146,
   author = {M. N Abdullah and Ralphael Tawai and M. F Yousof},
   title = {Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4},
   year = {2017},
   pages = {1322--1327},
   keywords = {Constraints Handling; Economic Load Dispatch; Particle Swarm Optimization; Valve Point Effect},
   abstract = {The main goal of economic load dispatch (ELD) problem is to find an optimal operating condition for the committed generating units in order to minimize total operational cost while satisfying the constraints. The ELD problem becomes more complicated and non-convex when valve point effects of the generator are considered. The penalty function approach (PFA) is widely used to handle the constraints in ELD problem due to simple implementation. However, it requires a proper penalty factor tuning and provides inconsistent result. This paper investigates the performances of modification of infeasible particle (MIP) method based on particle swarm optimization (PSO) for solving ELD problem. The performances of MIP and PFA methods have been compared in terms of optimal result, convergence characteristic and robustness. The proposed MIP and PFA have been tested on three standard test systems (consists of 3, 6 and 40 generating units) to validate their effectiveness. The simulation result confirmed that MIP has better convergence characteristic and more robust compared to PFA. Therefore, the MIP approach can be applied in any optimization algorithm for solving constraint ELD problem effectively.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3146},
   doi = {10.18517/ijaseit.7.4.3146}
}

EndNote

%A Abdullah, M. N
%A Tawai, Ralphael
%A Yousof, M. F
%D 2017
%T Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm
%B 2017
%9 Constraints Handling; Economic Load Dispatch; Particle Swarm Optimization; Valve Point Effect
%! Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm
%K Constraints Handling; Economic Load Dispatch; Particle Swarm Optimization; Valve Point Effect
%X The main goal of economic load dispatch (ELD) problem is to find an optimal operating condition for the committed generating units in order to minimize total operational cost while satisfying the constraints. The ELD problem becomes more complicated and non-convex when valve point effects of the generator are considered. The penalty function approach (PFA) is widely used to handle the constraints in ELD problem due to simple implementation. However, it requires a proper penalty factor tuning and provides inconsistent result. This paper investigates the performances of modification of infeasible particle (MIP) method based on particle swarm optimization (PSO) for solving ELD problem. The performances of MIP and PFA methods have been compared in terms of optimal result, convergence characteristic and robustness. The proposed MIP and PFA have been tested on three standard test systems (consists of 3, 6 and 40 generating units) to validate their effectiveness. The simulation result confirmed that MIP has better convergence characteristic and more robust compared to PFA. Therefore, the MIP approach can be applied in any optimization algorithm for solving constraint ELD problem effectively.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3146
%R doi:10.18517/ijaseit.7.4.3146
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 4
%@ 2088-5334

IEEE

M. N Abdullah,Ralphael Tawai and M. F Yousof,"Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4, pp. 1322-1327, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4.3146.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Abdullah, M. N
AU  - Tawai, Ralphael
AU  - Yousof, M. F
PY  - 2017
TI  - Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4
Y2  - 2017
SP  - 1322
EP  - 1327
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Constraints Handling; Economic Load Dispatch; Particle Swarm Optimization; Valve Point Effect
N2  - The main goal of economic load dispatch (ELD) problem is to find an optimal operating condition for the committed generating units in order to minimize total operational cost while satisfying the constraints. The ELD problem becomes more complicated and non-convex when valve point effects of the generator are considered. The penalty function approach (PFA) is widely used to handle the constraints in ELD problem due to simple implementation. However, it requires a proper penalty factor tuning and provides inconsistent result. This paper investigates the performances of modification of infeasible particle (MIP) method based on particle swarm optimization (PSO) for solving ELD problem. The performances of MIP and PFA methods have been compared in terms of optimal result, convergence characteristic and robustness. The proposed MIP and PFA have been tested on three standard test systems (consists of 3, 6 and 40 generating units) to validate their effectiveness. The simulation result confirmed that MIP has better convergence characteristic and more robust compared to PFA. Therefore, the MIP approach can be applied in any optimization algorithm for solving constraint ELD problem effectively.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3146
DO  - 10.18517/ijaseit.7.4.3146

RefWorks

RT Journal Article
ID 3146
A1 Abdullah, M. N
A1 Tawai, Ralphael
A1 Yousof, M. F
T1 Comparison of Constraints Handling Methods for Economic Load Dispatch Problem using Particle Swarm Optimization Algorithm
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4
YR 2017
SP 1322
OP 1327
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Constraints Handling; Economic Load Dispatch; Particle Swarm Optimization; Valve Point Effect
AB The main goal of economic load dispatch (ELD) problem is to find an optimal operating condition for the committed generating units in order to minimize total operational cost while satisfying the constraints. The ELD problem becomes more complicated and non-convex when valve point effects of the generator are considered. The penalty function approach (PFA) is widely used to handle the constraints in ELD problem due to simple implementation. However, it requires a proper penalty factor tuning and provides inconsistent result. This paper investigates the performances of modification of infeasible particle (MIP) method based on particle swarm optimization (PSO) for solving ELD problem. The performances of MIP and PFA methods have been compared in terms of optimal result, convergence characteristic and robustness. The proposed MIP and PFA have been tested on three standard test systems (consists of 3, 6 and 40 generating units) to validate their effectiveness. The simulation result confirmed that MIP has better convergence characteristic and more robust compared to PFA. Therefore, the MIP approach can be applied in any optimization algorithm for solving constraint ELD problem effectively.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3146
DO  - 10.18517/ijaseit.7.4.3146