Abstract

Distributed energy resources (DER) are expected to play a critical role in the near future due to a number of advantages they have compared to conventional centralised power systems. DER systems typically involve many components that combine different technologies for producing and storing electrical energy and heat. Thus, operational optimisation and control of DER systems is a challenging task. In this work, the Model Predictive Control (MPC) rolling horizon approach is adopted to design a control strategy for DER systems. The proposed approach is not limited to single households but addresses DER systems in the neighbourhood level, taking into account the possibility of energy exchange among neighbouring households.

Keywords:
Model predictive control Computer science Task (project management) Control (management) Work (physics) Predictive power Electric power system Distributed generation Neighbourhood (mathematics) Energy (signal processing) Distributed computing Power (physics) Engineering Renewable energy Systems engineering Artificial intelligence

Metrics

5
Cited By
2.21
FWCI (Field Weighted Citation Impact)
11
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
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