Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management
In the newly emerged electric supply industry, the profit maximizing tendency of market participants has developed the problem of transmission congestion as the most crucial issue. This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for transmission congestion management (CM),...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/8256908 |
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| author | Anjali Agrawal Seema N. Pandey Laxmi Srivastava Pratima Walde R. K. Saket Baseem Khan |
| author_facet | Anjali Agrawal Seema N. Pandey Laxmi Srivastava Pratima Walde R. K. Saket Baseem Khan |
| author_sort | Anjali Agrawal |
| collection | DOAJ |
| description | In the newly emerged electric supply industry, the profit maximizing tendency of market participants has developed the problem of transmission congestion as the most crucial issue. This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for transmission congestion management (CM), implementing demand side management activities. For this, demand response (DR) and distributed generation (DG) have been employed. For willingly reducing the demand, demand response has been called by providing appropriate financial incentives that supports in releasing the congestion over critical lines. Distributed generation implementing wind plant as renewable independent power producer (RIPP) has also been included in order to reduce the load curtailment of responsive customers to manage transmission congestion. The proposed incentive-based demand response and distributed generation approach of CM, has been framed with various strategies employing different thermal limits over transmission lines and has resulted into significant reduction in congestion and in-turn improvement of transmission reliability margin. Diversity has been obtained in multiobjective optimization by taking two and three objective functions, respectively (minimization of overall operational cost, CO2 emission, and line loading). The by-products of the proposed algorithm for multiobjective optimization are minimized demand reduction, optimum size, and location of DG. To examine the proposed approach, it has been implemented on IEEE 30-bus system and a bigger power system IEEE 118-bus system; as well as the proposed technique of MOSSA has been compared and found better than reported methods and two other meta heuristic algorithms (multiobjective modified sperm swarm optimization and multiobjective adoptive rat swarm optimization). |
| format | Article |
| id | doaj-art-963c416d26b84e7d8d6194018185097c |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-963c416d26b84e7d8d6194018185097c2025-02-03T00:59:37ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/8256908Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion ManagementAnjali Agrawal0Seema N. Pandey1Laxmi Srivastava2Pratima Walde3R. K. Saket4Baseem Khan5Department of Electrical and Electronics EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical & Computer EngineeringIn the newly emerged electric supply industry, the profit maximizing tendency of market participants has developed the problem of transmission congestion as the most crucial issue. This paper proposes a multiobjective salp swarm algorithm (MOSSA) approach for transmission congestion management (CM), implementing demand side management activities. For this, demand response (DR) and distributed generation (DG) have been employed. For willingly reducing the demand, demand response has been called by providing appropriate financial incentives that supports in releasing the congestion over critical lines. Distributed generation implementing wind plant as renewable independent power producer (RIPP) has also been included in order to reduce the load curtailment of responsive customers to manage transmission congestion. The proposed incentive-based demand response and distributed generation approach of CM, has been framed with various strategies employing different thermal limits over transmission lines and has resulted into significant reduction in congestion and in-turn improvement of transmission reliability margin. Diversity has been obtained in multiobjective optimization by taking two and three objective functions, respectively (minimization of overall operational cost, CO2 emission, and line loading). The by-products of the proposed algorithm for multiobjective optimization are minimized demand reduction, optimum size, and location of DG. To examine the proposed approach, it has been implemented on IEEE 30-bus system and a bigger power system IEEE 118-bus system; as well as the proposed technique of MOSSA has been compared and found better than reported methods and two other meta heuristic algorithms (multiobjective modified sperm swarm optimization and multiobjective adoptive rat swarm optimization).http://dx.doi.org/10.1155/2022/8256908 |
| spellingShingle | Anjali Agrawal Seema N. Pandey Laxmi Srivastava Pratima Walde R. K. Saket Baseem Khan Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management International Transactions on Electrical Energy Systems |
| title | Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management |
| title_full | Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management |
| title_fullStr | Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management |
| title_full_unstemmed | Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management |
| title_short | Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management |
| title_sort | multiobjective salp swarm algorithm approach for transmission congestion management |
| url | http://dx.doi.org/10.1155/2022/8256908 |
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