Optimal power flow with stochastic solar power using barnacles mating optimizer
This work proposes the implementation of recent evolutionary metaheuristic algorithm namely, barnacles mating optimizer (BMO) to solve the Optimal Power Flow (OPF) issue. BMO is inspired by the mating behaviour of barnacles which happened in two ways: by normal copulation and sperm-cast. The effecti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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John Wiley & Sons Ltd
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33823/1/Optimal%20power%20flow%20with%20stochastic%20solar%20power%20using%20barnacles%20mating%20optimizer.pdf |
| _version_ | 1825814282066984960 |
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| author | Mohd Herwan, Sulaiman Zuriani, Mustaffa Ahmad Johari, Mohamad Mohd Mawardi, Saari Mohd Rusllim, Mohamed |
| author_facet | Mohd Herwan, Sulaiman Zuriani, Mustaffa Ahmad Johari, Mohamad Mohd Mawardi, Saari Mohd Rusllim, Mohamed |
| author_sort | Mohd Herwan, Sulaiman |
| collection | UMP |
| description | This work proposes the implementation of recent evolutionary metaheuristic algorithm namely, barnacles mating optimizer (BMO) to solve the Optimal Power Flow (OPF) issue. BMO is inspired by the mating behaviour of barnacles which happened in two ways: by normal copulation and sperm-cast. The effectiveness of the proposed BMO in solving the OPF is tested on a modified IEEE-30 bus system that is integrated with solar PV farms for five cases viz (1) cost minimization of the power generation that consists of thermal and stochastic solar power generations, (2) power loss minimization, (3) voltage deviation minimization, (4) emission minimization and (5) combined cost and emission minimization of power generations. To demonstrate the effectiveness and the veracity of the solution obtained by BMO, several recent algorithms that have been reported in the literature will be utilized and compared intensively. In the end, the simulation results demonstrate that the BMO can be effectively becoming an alternative solution for the OPF issue in general. |
| first_indexed | 2024-03-06T12:56:27Z |
| format | Article |
| id | UMPir33823 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:56:27Z |
| publishDate | 2021 |
| publisher | John Wiley & Sons Ltd |
| record_format | dspace |
| spelling | UMPir338232022-08-02T08:15:49Z http://umpir.ump.edu.my/id/eprint/33823/ Optimal power flow with stochastic solar power using barnacles mating optimizer Mohd Herwan, Sulaiman Zuriani, Mustaffa Ahmad Johari, Mohamad Mohd Mawardi, Saari Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This work proposes the implementation of recent evolutionary metaheuristic algorithm namely, barnacles mating optimizer (BMO) to solve the Optimal Power Flow (OPF) issue. BMO is inspired by the mating behaviour of barnacles which happened in two ways: by normal copulation and sperm-cast. The effectiveness of the proposed BMO in solving the OPF is tested on a modified IEEE-30 bus system that is integrated with solar PV farms for five cases viz (1) cost minimization of the power generation that consists of thermal and stochastic solar power generations, (2) power loss minimization, (3) voltage deviation minimization, (4) emission minimization and (5) combined cost and emission minimization of power generations. To demonstrate the effectiveness and the veracity of the solution obtained by BMO, several recent algorithms that have been reported in the literature will be utilized and compared intensively. In the end, the simulation results demonstrate that the BMO can be effectively becoming an alternative solution for the OPF issue in general. John Wiley & Sons Ltd 2021 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33823/1/Optimal%20power%20flow%20with%20stochastic%20solar%20power%20using%20barnacles%20mating%20optimizer.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Ahmad Johari, Mohamad and Mohd Mawardi, Saari and Mohd Rusllim, Mohamed (2021) Optimal power flow with stochastic solar power using barnacles mating optimizer. International Transactions on Electrical Energy Systems, 31 (5). pp. 1-2. ISSN 2050-7038. (Published) https://doi.org/10.1002/2050-7038.12858 https://doi.org/10.1002/2050-7038.12858 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Herwan, Sulaiman Zuriani, Mustaffa Ahmad Johari, Mohamad Mohd Mawardi, Saari Mohd Rusllim, Mohamed Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title | Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title_full | Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title_fullStr | Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title_full_unstemmed | Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title_short | Optimal power flow with stochastic solar power using barnacles mating optimizer |
| title_sort | optimal power flow with stochastic solar power using barnacles mating optimizer |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/33823/1/Optimal%20power%20flow%20with%20stochastic%20solar%20power%20using%20barnacles%20mating%20optimizer.pdf |
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