Optimal and Neural Network Control for Renewables and Electric Power and Energy Systems

Dear Colleagues,

In today's electric power and energy systems, power electronic converters play an increasingly important role in smart grids/microgrids, renewable energy systems, energy storage devices, and traction systems. Power converters are key components that physically connect wind power, solar panels, and batteries to the grid and for energy conversion in electric vehicles and trains. A critical issue for energy generation from renewable sources, for smart grid integration, and for energy conversion in electric vehicles is the control of the power converters. Traditionally, these power converters are mainly controlled using standard control methods in power and energy industry.

In recent years, significant research has been conducted in developing optimization-based control technologies, including neural network control based on dynamic programming, H∞ and μ synthesis control techniques, and model predictive control. This Special Issue focuses on recent advances in optimal and artificial neural network control in power and energy system applications. From a control perspective, the special issue is interested in optimization-based control methods including neural network control based on approximate dynamic programming, adaptive critic designs, H∞ and μ synthesis control techniques, model predictive control, etc. In terms of applications, the special issue is interested in optimal control applied in renewable energy systems (including wind, solar, and energy storage), smart grid/microgrid, power transmission and distribution systems, and electric machines, drives and traction systems (including electric vehicles and trains).

Dr. Shuhui Li
Dr. Eduardo Alonso
Dr. Xingang Fu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.