A novel nature-inspired nutcracker optimizer algorithm for congestion control in power system transmission lines
| Autor: | Vivek Kumar, R Narendra Rao, Ajendra Singh, Vineet Shekher, Kaushik Paul, Pampa Sinha, Thamer AH Alghamdi, Almoataz Y Abdelaziz |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Energy Exploration & Exploitation, Vol 42 (2024) |
| Druh dokumentu: | article |
| ISSN: | 0144-5987 2048-4054 01445987 |
| DOI: | 10.1177/01445987241253292 |
| Popis: | In the restructured power system, where uncertainties are common, managing congestion becomes a crucial aspect of power system operation and control. Congestion management aims to alleviate the power system transmission line congestion while meeting the system constraints at minimal cost. This research introduces a generation rescheduling method for congestion management in the electricity market, leveraging an innovative nutcracker optimizer algorithm. The nutcracker optimizer algorithm, inspired by nutcrackers’ food accumulation mechanisms, is a recently developed nature-inspired algorithm. The efficacy of this proposed approach is assessed across modified IEEE 30-bus, and IEEE 118-bus test systems, considering the system parameters. The effectiveness of the proposed congestion management with the nutcracker optimizer algorithm is analyzed by comparing its results with those generated by other recent optimization techniques. Results demonstrated that the nutcracker optimizer algorithm surpasses other comparative methods, requiring fewer fitness function evaluations, avoiding local optima, and displaying encouraging convergence traits. Implementing this approach can assist the system operators in swiftly addressing contingencies, ensuring secure and reliable power system operation within a deregulated environment. |
| Databáze: | Directory of Open Access Journals |
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