Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control
The integration of a variety of heterogeneous energy sources and different energy storage systems has led to complex infrastructures and made apparent the urgent need for efficient energy control and management. This work presents a non-linear model predictive controller (NMPC) that aims to coordina...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/4/1082 |
| _version_ | 1797396026008535040 |
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| author | Dimitrios Trigkas Chrysovalantou Ziogou Spyros Voutetakis Simira Papadopoulou |
| author_facet | Dimitrios Trigkas Chrysovalantou Ziogou Spyros Voutetakis Simira Papadopoulou |
| author_sort | Dimitrios Trigkas |
| collection | DOAJ |
| description | The integration of a variety of heterogeneous energy sources and different energy storage systems has led to complex infrastructures and made apparent the urgent need for efficient energy control and management. This work presents a non-linear model predictive controller (NMPC) that aims to coordinate the operation of interconnected multi-node microgrids with energy storage capabilities. This control strategy creates a superstructure of a smart-grid consisting of distributed interconnected microgrids, and has the ability to distribute energy among a pool of energy storage means in an optimal way, formulating a virtual central energy storage platform. The goal of this work is the optimal exploitation of energy produced and stored in multi-node microgrids, and the reduction of auxiliary energy sources. A small-scale multi-node microgrid was used as a basis for the mathematical modelling and real data were used for the model validation. A number of operation scenarios under different weather conditions and load requests, demonstrates the ability of the NMPC to supervise the multi-node microgrid resulting to optimal energy management and reduction of the auxiliary power devices operation. |
| first_indexed | 2024-03-09T00:44:21Z |
| format | Article |
| id | doaj.art-0df50a613b624030bb92e1492d997267 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T00:44:21Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0df50a613b624030bb92e1492d9972672023-12-11T17:34:53ZengMDPI AGEnergies1996-10732021-02-01144108210.3390/en14041082Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive ControlDimitrios Trigkas0Chrysovalantou Ziogou1Spyros Voutetakis2Simira Papadopoulou3Centre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, GreeceCentre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, GreeceThe integration of a variety of heterogeneous energy sources and different energy storage systems has led to complex infrastructures and made apparent the urgent need for efficient energy control and management. This work presents a non-linear model predictive controller (NMPC) that aims to coordinate the operation of interconnected multi-node microgrids with energy storage capabilities. This control strategy creates a superstructure of a smart-grid consisting of distributed interconnected microgrids, and has the ability to distribute energy among a pool of energy storage means in an optimal way, formulating a virtual central energy storage platform. The goal of this work is the optimal exploitation of energy produced and stored in multi-node microgrids, and the reduction of auxiliary energy sources. A small-scale multi-node microgrid was used as a basis for the mathematical modelling and real data were used for the model validation. A number of operation scenarios under different weather conditions and load requests, demonstrates the ability of the NMPC to supervise the multi-node microgrid resulting to optimal energy management and reduction of the auxiliary power devices operation.https://www.mdpi.com/1996-1073/14/4/1082model predictive controlmulti-node microgridrenewable energy sourcesenergy storagevirtual central storage |
| spellingShingle | Dimitrios Trigkas Chrysovalantou Ziogou Spyros Voutetakis Simira Papadopoulou Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control Energies model predictive control multi-node microgrid renewable energy sources energy storage virtual central storage |
| title | Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control |
| title_full | Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control |
| title_fullStr | Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control |
| title_full_unstemmed | Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control |
| title_short | Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control |
| title_sort | virtual energy storage in res powered smart grids with nonlinear model predictive control |
| topic | model predictive control multi-node microgrid renewable energy sources energy storage virtual central storage |
| url | https://www.mdpi.com/1996-1073/14/4/1082 |
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