Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control

Dimitrios Trigkas, Chrysovalantou Ziogou, Spyros Voutetakis and Simira Papadopoulou
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Dimitrios Trigkas: Centre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, Greece
Chrysovalantou Ziogou: Centre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, Greece
Spyros Voutetakis: Centre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, Greece
Simira Papadopoulou: Centre for Research and Technology Hellas (CERTH), Chemical Process & Energy Resources Institute (CPERI), P.O. Box 60361, 57001 Thessaloniki, Greece

Energies, 2021, vol. 14, issue 4, 1-22

Abstract: 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.

Keywords: model predictive control; multi-node microgrid; renewable energy sources; energy storage; virtual central storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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