Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm
A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, total power losses and voltage stability index as objectives. Fruit fly Algorithm (FFA) along with real coded Genetic Algorithm (GA) cross-over operation treated as Hybrid...
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Format: | Article |
Language: | English |
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Elsevier
2016-06-01
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Series: | Ain Shams Engineering Journal |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447916000137 |
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author | M. Balasubbareddy |
author_facet | M. Balasubbareddy |
author_sort | M. Balasubbareddy |
collection | DOAJ |
description | A novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, total power losses and voltage stability index as objectives. Fruit fly Algorithm (FFA) along with real coded Genetic Algorithm (GA) cross-over operation treated as Hybrid Fruit fly Algorithm (HFFA) is proposed to select best value as compared with existing single-objective evaluation algorithms and the proposed non-dominated sorting hybrid fruit fly algorithm (NSHFFA) is used for the multi-objective optimal power flow problem. A fuzzy decision making tool is used to select the best Pareto front from the total generated solutions by the proposed algorithm. The effectiveness of the proposed algorithm is analyzed for various standard test systems such as Booth’s function, Schaffer 2 function and IEEE 30 bus system. The obtained results using proposed algorithm are compared with the existing optimization methods. The results reveal better solution and computational efficiency of the proposed algorithm. |
first_indexed | 2024-12-21T20:21:23Z |
format | Article |
id | doaj.art-f6c038ea1e2c4a45a2b73fe23fccb3e7 |
institution | Directory Open Access Journal |
issn | 2090-4479 |
language | English |
last_indexed | 2024-12-21T20:21:23Z |
publishDate | 2016-06-01 |
publisher | Elsevier |
record_format | Article |
series | Ain Shams Engineering Journal |
spelling | doaj.art-f6c038ea1e2c4a45a2b73fe23fccb3e72022-12-21T18:51:29ZengElsevierAin Shams Engineering Journal2090-44792016-06-017289590510.1016/j.asej.2016.01.005Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithmM. BalasubbareddyA novel optimization algorithm is proposed to solve single and multi-objective optimization problems with generation fuel cost, total power losses and voltage stability index as objectives. Fruit fly Algorithm (FFA) along with real coded Genetic Algorithm (GA) cross-over operation treated as Hybrid Fruit fly Algorithm (HFFA) is proposed to select best value as compared with existing single-objective evaluation algorithms and the proposed non-dominated sorting hybrid fruit fly algorithm (NSHFFA) is used for the multi-objective optimal power flow problem. A fuzzy decision making tool is used to select the best Pareto front from the total generated solutions by the proposed algorithm. The effectiveness of the proposed algorithm is analyzed for various standard test systems such as Booth’s function, Schaffer 2 function and IEEE 30 bus system. The obtained results using proposed algorithm are compared with the existing optimization methods. The results reveal better solution and computational efficiency of the proposed algorithm.http://www.sciencedirect.com/science/article/pii/S2090447916000137Optimal power flowFruit fly algorithmGeneration fuel costTotal power lossVoltage stability indexNon-dominated sorting |
spellingShingle | M. Balasubbareddy Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm Ain Shams Engineering Journal Optimal power flow Fruit fly algorithm Generation fuel cost Total power loss Voltage stability index Non-dominated sorting |
title | Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm |
title_full | Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm |
title_fullStr | Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm |
title_full_unstemmed | Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm |
title_short | Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm |
title_sort | multi objective optimization in the presence of ramp rate limits using non dominated sorting hybrid fruit fly algorithm |
topic | Optimal power flow Fruit fly algorithm Generation fuel cost Total power loss Voltage stability index Non-dominated sorting |
url | http://www.sciencedirect.com/science/article/pii/S2090447916000137 |
work_keys_str_mv | AT mbalasubbareddy multiobjectiveoptimizationinthepresenceoframpratelimitsusingnondominatedsortinghybridfruitflyalgorithm |