Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization
Controlling distributed energy resources (DERs) in low voltage microgrids is a challenging task for operators. The simultaneous operation of independent small-scale DER owners could compromise the operator’s hierarchical and centralized control to reach system stability and cost optimizat...
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| Format: | Article |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9425572/ |
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| author | Alejandro C. Perez-Flores Jesus D. Mina Antonio Victor Hugo Olivares-Peregrino Humberto R. Jimenez-Grajales Abraham Claudio-Sanchez Gerardo Vicente Guerrero Ramirez |
| author_facet | Alejandro C. Perez-Flores Jesus D. Mina Antonio Victor Hugo Olivares-Peregrino Humberto R. Jimenez-Grajales Abraham Claudio-Sanchez Gerardo Vicente Guerrero Ramirez |
| author_sort | Alejandro C. Perez-Flores |
| collection | DOAJ |
| description | Controlling distributed energy resources (DERs) in low voltage microgrids is a challenging task for operators. The simultaneous operation of independent small-scale DER owners could compromise the operator’s hierarchical and centralized control to reach system stability and cost optimization. Recent Decentralized Energy Management (DEM) approaches provide flexibility for DERs control, but several existing solutions depend on powerful and expensive computer clusters and their ability to deal with a high burden of data in the communication channel. This work is motivated towards a DEM framework that involves independent DER owners while microgrid operator still maintains a hierarchical control philosophy. The framework must include a method to reduce the need of powerful computer clusters and depend on low bandwidth communications channel. Here, a multi-layered framework for every DER, consisting of physical, control, and agent layers for DEM is approached, where the agent layer participates in the energy management task. An Asynchronous Decentralized PSO (ADPSO) algorithm is proposed for the agent layer based on its primal characteristic: it can reach a consensus state between networked computing units by exchanging asynchronously only the state variable through the communications channel. The proposed solution allows the integration of DEM capabilities within the physical controller of the DERs, distinguishing it from other decentralized solutions. Easiness of implementation and low computational requirements are shown by performing DEM tests on single board computers. The tests show improved convergence rate, improved swarm diversity behavior and fast consensus reaching of DEM optimization. |
| first_indexed | 2024-12-17T23:13:26Z |
| format | Article |
| id | doaj.art-f7bf0312a8584a819b40b0fb0d927f6e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:13:26Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f7bf0312a8584a819b40b0fb0d927f6e2022-12-21T21:29:05ZengIEEEIEEE Access2169-35362021-01-019695886960010.1109/ACCESS.2021.30783359425572Microgrid Energy Management With Asynchronous Decentralized Particle Swarm OptimizationAlejandro C. Perez-Flores0https://orcid.org/0000-0001-9015-7551Jesus D. Mina Antonio1https://orcid.org/0000-0001-8136-6837Victor Hugo Olivares-Peregrino2Humberto R. Jimenez-Grajales3Abraham Claudio-Sanchez4Gerardo Vicente Guerrero Ramirez5Tecnológico Nacional de México (TecNM), Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, MéxicoTecnológico Nacional de México (TecNM), Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, MéxicoTecnológico Nacional de México (TecNM), Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, MéxicoDepartamento de Energías Renovables, Instituto Nacional de Electricidad y Energías Limpias (INEEL), Cuernavaca, MexicoTecnológico Nacional de México (TecNM), Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, MéxicoTecnológico Nacional de México (TecNM), Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET), Cuernavaca, MéxicoControlling distributed energy resources (DERs) in low voltage microgrids is a challenging task for operators. The simultaneous operation of independent small-scale DER owners could compromise the operator’s hierarchical and centralized control to reach system stability and cost optimization. Recent Decentralized Energy Management (DEM) approaches provide flexibility for DERs control, but several existing solutions depend on powerful and expensive computer clusters and their ability to deal with a high burden of data in the communication channel. This work is motivated towards a DEM framework that involves independent DER owners while microgrid operator still maintains a hierarchical control philosophy. The framework must include a method to reduce the need of powerful computer clusters and depend on low bandwidth communications channel. Here, a multi-layered framework for every DER, consisting of physical, control, and agent layers for DEM is approached, where the agent layer participates in the energy management task. An Asynchronous Decentralized PSO (ADPSO) algorithm is proposed for the agent layer based on its primal characteristic: it can reach a consensus state between networked computing units by exchanging asynchronously only the state variable through the communications channel. The proposed solution allows the integration of DEM capabilities within the physical controller of the DERs, distinguishing it from other decentralized solutions. Easiness of implementation and low computational requirements are shown by performing DEM tests on single board computers. The tests show improved convergence rate, improved swarm diversity behavior and fast consensus reaching of DEM optimization.https://ieeexplore.ieee.org/document/9425572/Energy managementsmart gridsoptimization |
| spellingShingle | Alejandro C. Perez-Flores Jesus D. Mina Antonio Victor Hugo Olivares-Peregrino Humberto R. Jimenez-Grajales Abraham Claudio-Sanchez Gerardo Vicente Guerrero Ramirez Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization IEEE Access Energy management smart grids optimization |
| title | Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization |
| title_full | Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization |
| title_fullStr | Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization |
| title_full_unstemmed | Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization |
| title_short | Microgrid Energy Management With Asynchronous Decentralized Particle Swarm Optimization |
| title_sort | microgrid energy management with asynchronous decentralized particle swarm optimization |
| topic | Energy management smart grids optimization |
| url | https://ieeexplore.ieee.org/document/9425572/ |
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