Efficient constraint handling for optimal reactive power dispatch problems
In power engineering, minimizing the power loss in the transmission lines and/or minimizing the voltage deviation at the load buses by controlling the reactive power is referred to as optimal reactive power dispatch (ORPD). Recently, the use of evolutionary algorithms (EAs) such as differential evol...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84798 http://hdl.handle.net/10220/11904 |
| _version_ | 1811683857690263552 |
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| author | Jeyadevi, S. Suganthan, P. N. Baskar, S. Mallipeddi, Rammohan. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Jeyadevi, S. Suganthan, P. N. Baskar, S. Mallipeddi, Rammohan. |
| author_sort | Jeyadevi, S. |
| collection | NTU |
| description | In power engineering, minimizing the power loss in the transmission lines and/or minimizing the voltage deviation at the load buses by controlling the reactive power is referred to as optimal reactive power dispatch (ORPD). Recently, the use of evolutionary algorithms (EAs) such as differential evolution (DE), particle swarm optimization (PSO), evolutionary programming (EP), and evolution strategies (ES) to solve ORPD is gaining more importance due to their effectiveness in handling the inequality constraints and discrete values compared to that of conventional gradient-based methods. EAs generally perform unconstrained searches, and they require some additional mechanism to handle constraints. In the literature, various constraint handling techniques have been proposed. However, to solve ORPD the penalty function approach has been commonly used, while the other constraint handling methods remain untested. In this paper, we evaluate the performance of different constraint handling methods such as superiority of feasible solutions (SF), self-adaptive penalty (SP), εε-constraint (EC), stochastic ranking (SR), and the ensemble of constraint handling techniques (ECHT) on ORPD. The proposed methods have been tested on IEEE 30-bus, 57-bus, and 118-bus systems. Simulation results clearly demonstrate the importance of employing an efficient constraint handling method to solve the ORPD problem effectively. |
| first_indexed | 2024-10-01T04:19:24Z |
| format | Journal Article |
| id | ntu-10356/84798 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:19:24Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/847982020-03-07T13:57:29Z Efficient constraint handling for optimal reactive power dispatch problems Jeyadevi, S. Suganthan, P. N. Baskar, S. Mallipeddi, Rammohan. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In power engineering, minimizing the power loss in the transmission lines and/or minimizing the voltage deviation at the load buses by controlling the reactive power is referred to as optimal reactive power dispatch (ORPD). Recently, the use of evolutionary algorithms (EAs) such as differential evolution (DE), particle swarm optimization (PSO), evolutionary programming (EP), and evolution strategies (ES) to solve ORPD is gaining more importance due to their effectiveness in handling the inequality constraints and discrete values compared to that of conventional gradient-based methods. EAs generally perform unconstrained searches, and they require some additional mechanism to handle constraints. In the literature, various constraint handling techniques have been proposed. However, to solve ORPD the penalty function approach has been commonly used, while the other constraint handling methods remain untested. In this paper, we evaluate the performance of different constraint handling methods such as superiority of feasible solutions (SF), self-adaptive penalty (SP), εε-constraint (EC), stochastic ranking (SR), and the ensemble of constraint handling techniques (ECHT) on ORPD. The proposed methods have been tested on IEEE 30-bus, 57-bus, and 118-bus systems. Simulation results clearly demonstrate the importance of employing an efficient constraint handling method to solve the ORPD problem effectively. 2013-07-22T02:05:41Z 2019-12-06T15:51:16Z 2013-07-22T02:05:41Z 2019-12-06T15:51:16Z 2012 2012 Journal Article Mallipeddi, R., Jeyadevi, S., Suganthan, P. N., & Baskar, S. (2012). Efficient constraint handling for optimal reactive power dispatch problems. Swarm and Evolutionary Computation, 5, 28-36. 2210-6502 https://hdl.handle.net/10356/84798 http://hdl.handle.net/10220/11904 10.1016/j.swevo.2012.03.001 en Swarm and evolutionary computation © 2012 Elsevier B.V. |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Jeyadevi, S. Suganthan, P. N. Baskar, S. Mallipeddi, Rammohan. Efficient constraint handling for optimal reactive power dispatch problems |
| title | Efficient constraint handling for optimal reactive power dispatch problems |
| title_full | Efficient constraint handling for optimal reactive power dispatch problems |
| title_fullStr | Efficient constraint handling for optimal reactive power dispatch problems |
| title_full_unstemmed | Efficient constraint handling for optimal reactive power dispatch problems |
| title_short | Efficient constraint handling for optimal reactive power dispatch problems |
| title_sort | efficient constraint handling for optimal reactive power dispatch problems |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/84798 http://hdl.handle.net/10220/11904 |
| work_keys_str_mv | AT jeyadevis efficientconstrainthandlingforoptimalreactivepowerdispatchproblems AT suganthanpn efficientconstrainthandlingforoptimalreactivepowerdispatchproblems AT baskars efficientconstrainthandlingforoptimalreactivepowerdispatchproblems AT mallipeddirammohan efficientconstrainthandlingforoptimalreactivepowerdispatchproblems |