Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm
In this paper, a study of multi-objective based congestion management is carried out by generator rescheduling with considering generator fuels cost. Due to the rapid growth of electrical load, the pressure in the transmission sector increases to provide transmission of power in a safe manner. But...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2020-11-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/805 |
| _version_ | 1797989935992537088 |
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| author | Benjamin Chatuanramtharnghaka Subhasish Deb |
| author_facet | Benjamin Chatuanramtharnghaka Subhasish Deb |
| author_sort | Benjamin Chatuanramtharnghaka |
| collection | DOAJ |
| description |
In this paper, a study of multi-objective based congestion management is carried out by generator rescheduling with considering generator fuels cost. Due to the rapid growth of electrical load, the pressure in the transmission sector increases to provide transmission of power in a safe manner. But owing to the load growth, the transmission line power flow reaches beyond thermal limit which results in transmission congestion. The congestion management in the present work has been done in a multi-objective framework considering generator rescheduling method as one of the objectives. A Multi-objective Grasshopper Optimization Algorithm (MOGOA) is implemented to perform the optimization for elimination of congested line and minimizing the operational cost of the system. The efficacy of the proposed method has been compared and analyzed with different multi-objective algorithms in IEEE 30 bus test system.
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| first_indexed | 2024-04-11T08:28:28Z |
| format | Article |
| id | doaj.art-f378c63459bb43158d0cd701ffef3856 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-11T08:28:28Z |
| publishDate | 2020-11-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-f378c63459bb43158d0cd701ffef38562022-12-22T04:34:39ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2020-11-0183310.4108/eai.27-11-2020.167288Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization AlgorithmBenjamin Chatuanramtharnghaka0Subhasish Deb1Mizoram University Mizoram University In this paper, a study of multi-objective based congestion management is carried out by generator rescheduling with considering generator fuels cost. Due to the rapid growth of electrical load, the pressure in the transmission sector increases to provide transmission of power in a safe manner. But owing to the load growth, the transmission line power flow reaches beyond thermal limit which results in transmission congestion. The congestion management in the present work has been done in a multi-objective framework considering generator rescheduling method as one of the objectives. A Multi-objective Grasshopper Optimization Algorithm (MOGOA) is implemented to perform the optimization for elimination of congested line and minimizing the operational cost of the system. The efficacy of the proposed method has been compared and analyzed with different multi-objective algorithms in IEEE 30 bus test system. https://publications.eai.eu/index.php/ew/article/view/805Congestion managementgenerator reschedulingoptimizationmulti-objective grasshopper optimization algorithm (MOGOA) |
| spellingShingle | Benjamin Chatuanramtharnghaka Subhasish Deb Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm EAI Endorsed Transactions on Energy Web Congestion management generator rescheduling optimization multi-objective grasshopper optimization algorithm (MOGOA) |
| title | Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm |
| title_full | Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm |
| title_fullStr | Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm |
| title_full_unstemmed | Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm |
| title_short | Transmission Congestion Management in Deregulated Electricity Market using Multi-Objective Grasshopper Optimization Algorithm |
| title_sort | transmission congestion management in deregulated electricity market using multi objective grasshopper optimization algorithm |
| topic | Congestion management generator rescheduling optimization multi-objective grasshopper optimization algorithm (MOGOA) |
| url | https://publications.eai.eu/index.php/ew/article/view/805 |
| work_keys_str_mv | AT benjaminchatuanramtharnghaka transmissioncongestionmanagementinderegulatedelectricitymarketusingmultiobjectivegrasshopperoptimizationalgorithm AT subhasishdeb transmissioncongestionmanagementinderegulatedelectricitymarketusingmultiobjectivegrasshopperoptimizationalgorithm |