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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Main Author: M. Balasubbareddy
Format: Article
Language:English
Published: Elsevier 2016-06-01
Series:Ain Shams Engineering Journal
Subjects:
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.
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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