A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem
This paper presents a novel meta-heuristic approach based on the crow search algorithm (CSA) for solving the optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a nonlinear optimization problem designed to minimize power losses while satisfying the required constraints. The CSA...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/11/12/3321 |
| _version_ | 1798002467116417024 |
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| author | Asma Meddeb Nesrine Amor Mohamed Abbes Souad Chebbi |
| author_facet | Asma Meddeb Nesrine Amor Mohamed Abbes Souad Chebbi |
| author_sort | Asma Meddeb |
| collection | DOAJ |
| description | This paper presents a novel meta-heuristic approach based on the crow search algorithm (CSA) for solving the optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a nonlinear optimization problem designed to minimize power losses while satisfying the required constraints. The CSA is a recent efficient approach that depends on the intelligent behavior of crows. Nowadays, it has been used to solve many complex engineering optimization problems where it has proven its power and effectiveness. Motivated by the high ability in solving complex optimization problems and faster convergence of CSA, this paper proposes a novel approach to solve the ORPD problem. Furthermore, the settings of control variables such as generator terminal voltage, tap changer positions, and capacitor banks are determined to achieve the minimum total power loss while satisfying a set of nonlinear constraints. The accuracy and the performance of the proposed algorithm were performed and compared to other meta-heuristic algorithms reported in the literature. Several tests are applied on two standard test systems, including IEEE 14-bus and IEEE 30-bus as well as on the large-scale Tunisian 86-bus system. In addition, a sensitivity analysis has been performed to valid the performance of the CSA in solving the ORPD problem. We demonstrate that the proposed CSA provides a supremacy results and statistically significant in solving ORPD problems (for IEEE-14 bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.0006</mn> </mrow> </semantics> </math> </inline-formula>, for IEEE-30 bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.006</mn> </mrow> </semantics> </math> </inline-formula>, and for Tunisian 86-bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.0000001</mn> </mrow> </semantics> </math> </inline-formula>). |
| first_indexed | 2024-04-11T11:52:37Z |
| format | Article |
| id | doaj.art-fb6e940fceaf4cd2ba6ca01d29213ad3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T11:52:37Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-fb6e940fceaf4cd2ba6ca01d29213ad32022-12-22T04:25:18ZengMDPI AGEnergies1996-10732018-11-011112332110.3390/en11123321en11123321A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch ProblemAsma Meddeb0Nesrine Amor1Mohamed Abbes2Souad Chebbi3Laboratory of Technologies of Information, Communication and Electrical Engineering (LaTICE), National Superior School of Engineers of Tunis (ENSIT), University of Tunis, Tunis 1002, TunisiaLaboratory of Technologies of Information, Communication and Electrical Engineering (LaTICE), National Superior School of Engineers of Tunis (ENSIT), University of Tunis, Tunis 1002, TunisiaLaboratory of Technologies of Information, Communication and Electrical Engineering (LaTICE), National Superior School of Engineers of Tunis (ENSIT), University of Tunis, Tunis 1002, TunisiaLaboratory of Technologies of Information, Communication and Electrical Engineering (LaTICE), National Superior School of Engineers of Tunis (ENSIT), University of Tunis, Tunis 1002, TunisiaThis paper presents a novel meta-heuristic approach based on the crow search algorithm (CSA) for solving the optimal reactive power dispatch (ORPD) problem. The ORPD is formulated as a nonlinear optimization problem designed to minimize power losses while satisfying the required constraints. The CSA is a recent efficient approach that depends on the intelligent behavior of crows. Nowadays, it has been used to solve many complex engineering optimization problems where it has proven its power and effectiveness. Motivated by the high ability in solving complex optimization problems and faster convergence of CSA, this paper proposes a novel approach to solve the ORPD problem. Furthermore, the settings of control variables such as generator terminal voltage, tap changer positions, and capacitor banks are determined to achieve the minimum total power loss while satisfying a set of nonlinear constraints. The accuracy and the performance of the proposed algorithm were performed and compared to other meta-heuristic algorithms reported in the literature. Several tests are applied on two standard test systems, including IEEE 14-bus and IEEE 30-bus as well as on the large-scale Tunisian 86-bus system. In addition, a sensitivity analysis has been performed to valid the performance of the CSA in solving the ORPD problem. We demonstrate that the proposed CSA provides a supremacy results and statistically significant in solving ORPD problems (for IEEE-14 bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.0006</mn> </mrow> </semantics> </math> </inline-formula>, for IEEE-30 bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.006</mn> </mrow> </semantics> </math> </inline-formula>, and for Tunisian 86-bus <inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0.0000001</mn> </mrow> </semantics> </math> </inline-formula>).https://www.mdpi.com/1996-1073/11/12/3321optimal reactive power dispatchreal power lossmeta-heuristic methodscrow search algorithm |
| spellingShingle | Asma Meddeb Nesrine Amor Mohamed Abbes Souad Chebbi A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem Energies optimal reactive power dispatch real power loss meta-heuristic methods crow search algorithm |
| title | A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem |
| title_full | A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem |
| title_fullStr | A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem |
| title_full_unstemmed | A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem |
| title_short | A Novel Approach Based on Crow Search Algorithm for Solving Reactive Power Dispatch Problem |
| title_sort | novel approach based on crow search algorithm for solving reactive power dispatch problem |
| topic | optimal reactive power dispatch real power loss meta-heuristic methods crow search algorithm |
| url | https://www.mdpi.com/1996-1073/11/12/3321 |
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