Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method
This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/4/579 |
| _version_ | 1811263295278022656 |
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| author | Luis Galván Juan M. Navarro Eduardo Galván Juan M. Carrasco Andrés Alcántara |
| author_facet | Luis Galván Juan M. Navarro Eduardo Galván Juan M. Carrasco Andrés Alcántara |
| author_sort | Luis Galván |
| collection | DOAJ |
| description | This paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption. |
| first_indexed | 2024-04-12T19:42:58Z |
| format | Article |
| id | doaj.art-685262beff4e496eaeba3f19929a96d2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-12T19:42:58Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-685262beff4e496eaeba3f19929a96d22022-12-22T03:19:02ZengMDPI AGEnergies1996-10732019-02-0112457910.3390/en12040579en12040579Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control MethodLuis Galván0Juan M. Navarro1Eduardo Galván2Juan M. Carrasco3Andrés Alcántara4Electronical Engineering Department, University of Seville, 41092 Seville, SpainElectronical Engineering Department, University of Seville, 41092 Seville, SpainElectronical Engineering Department, University of Seville, 41092 Seville, SpainElectronical Engineering Department, University of Seville, 41092 Seville, SpainElectronical Engineering Department, University of Seville, 41092 Seville, SpainThis paper presents a method to optimally use an energy storage system (such as a battery) on a microgrid with load and photovoltaic generation. The purpose of the method is to employ the photovoltaic generation and energy storage systems to reduce the main grid bill, which includes an energy cost and a power peak cost. The method predicts the loads and generation power of each day, and then searches for an optimal storage behavior plan for the energy storage system according to these predictions. However, this plan is not followed in an open-loop control structure as in previous publications, but provided to a real-time decision algorithm, which also considers real power measures. This algorithm considers a series of device priorities in addition to the storage plan, which makes it robust enough to comply with unpredicted situations. The whole proposed method is implemented on a real-hardware test bench, with its different steps being distributed between a personal computer and a programmable logic controller according to their time scale. When compared to a different state-of-the-art method, the proposed method is concluded to better adjust the energy storage system usage to the photovoltaic generation and general consumption.https://www.mdpi.com/1996-1073/12/4/579batteriesenergy storagemicrogridsoptimal schedulingparticle swarm optimizationpower system managementsmart gridsupply and demandtrade agreements |
| spellingShingle | Luis Galván Juan M. Navarro Eduardo Galván Juan M. Carrasco Andrés Alcántara Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method Energies batteries energy storage microgrids optimal scheduling particle swarm optimization power system management smart grid supply and demand trade agreements |
| title | Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method |
| title_full | Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method |
| title_fullStr | Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method |
| title_full_unstemmed | Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method |
| title_short | Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method |
| title_sort | optimal scheduling of energy storage using a new priority based smart grid control method |
| topic | batteries energy storage microgrids optimal scheduling particle swarm optimization power system management smart grid supply and demand trade agreements |
| url | https://www.mdpi.com/1996-1073/12/4/579 |
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