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Economic Model Predictive Control for Microgrid Optimization: A Review

Microgrids have emerged as a promising solution to integrate distributed energy resources (DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the coordination of different DERs and loads. To date, various control methods have been developed to maximize the overall benefit while satisfying various constraints. Now it is urgently needed to understand and comprehend these approaches to further stimulate the deployment of microgrids. This paper presents an overview for researchers on economic model predictive control (EMPC) methods of microgrids to achieve a variety of objectives such as cost minimization and benefit maximization. The fundamental principle of the EMPC theory is explained in detail. The most popular and important strategies applied to stand-alone microgrids, grid-connected microgrids, residential smart homes, as well as networked microgrids are discussed. Future trends are also highlighted.
- Aalborg University Library (AUB) Aalborg Universitet Research Portal Denmark
- Aalborg University Denmark
- Hong Kong Polytechnic University China (People's Republic of)
- Soochow University China (People's Republic of)
- Soochow University China (People's Republic of)
Load modeling, Energy storage, energy management, model predictive control, Wind turbines, Energy management, Microgrids, renewable energy, Renewable energy sources, Generators
Load modeling, Energy storage, energy management, model predictive control, Wind turbines, Energy management, Microgrids, renewable energy, Renewable energy sources, Generators
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
