Machine Learning Algorithms for Operation and Control of Microgrids with Distributed Energy Sources

Dear Colleagues,

It is our pleasure to invite submissions to the Special Issue on “Machine Learning Algorithms for Operation and Control of Microgrids with Distributed Energy Sources”.

In recent years, microgrids have attracted attention of researchers due to their ability to sustain the penetration of renewables and supply power locally during emergencies. Various mathematical model-based optimization models have been developed and are widely applied in operation and control of microgrid systems. However, with the high uncertainty of distributed energy sources, traditional methods often face two major challenges, as follows.

(i) Mathematical-based optimization models usually require complex mathematical models and are often less flexible for dynamic environments with high uncertainties.

(ii) Re-optimization process is usually required to maintain the power balance in the system. This can take a long time and may not meet the requirements of a real-time operation.

Advanced machine learning algorithms have been rapidly growing to solve operational and control problems in microgrid systems with a fast response. In this Special Issue, we are looking for novel machine learning algorithms/methods, and technologies to enhance energy efficiency as well as to handle the aforementioned problems in the operation and/or control of microgrids. Review and survey articles on the following topics are also encouraging for submission.

Topics of interest for publication include, but are not limited to:

- Advanced machine learning algorithms for operation and control of microgrids

- Applications of Internet of Things (IoT) in power systems and microgrids operation and control

- Distribution system and smart grids optimization, planning and control

- Energy management systems for microgrids

- Machine learning-based predictive modelling in power systems

- Integration of renewables and EVs in microgrids

- Real-time operation and control of microgrids

- Resilience enhancement through/for microgrids

- Multiagent systems for microgrids

- Optimal economic dispatch of microgrids

- Self-healing strategies for islanded microgrids

Dr. Wencong Su
Guest Editor

Manuscript Submission Information

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