Loading...
Please wait, while we are loading the content...
Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control
| Content Provider | MDPI |
|---|---|
| Author | Trigkas, Dimitrios Ziogou, Chrysovalantou Voutetakis, Spyros Papadopoulou, Simira |
| Copyright Year | 2021 |
| 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. |
| Starting Page | 1082 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en14041082 |
| Journal | Energies |
| Issue Number | 4 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-18 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Model Predictive Control Multi-node Microgrid Renewable Energy Sources Energy Storage Virtual Central Storage |
| Content Type | Text |
| Resource Type | Article |
