Control Technologies for Wind and Photovoltaic Power Generation
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: 18 December 2025 | Viewed by 299
Special Issue Editors
Interests: wind power; photovoltaic generation and control technology; distributed generations of smart grid and intelligent distribution system; motor control system and energy-saving system
Special Issues, Collections and Topics in MDPI journals
Interests: control and operation of new type power system; smart operation of virtual power plant; renewable energy storage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Control Technologies for Wind and Photovoltaic Power Generation”. The rapid integration of wind and photovoltaic (PV) power into modern energy systems demands advanced control technologies to address inherent challenges such as intermittency, grid instability, and operational efficiency. There have been many emerging control and optimization techniques for wind and photovoltaic power generation in recent years. Moreover, the integration of Artificial Intelligence (AI) and Machine Learning (ML) has provided new perspectives for the development of control technology and optimization strategy.
This Special Issue will deal with novel control techniques and optimization strategies to enhance the performance, reliability, and grid adaptability of renewable energy generation. Topics of interest for publication include, but are not limited to, the following:
- Wind power generation control;
- PV generation control;
- Optimal operation of renewable energy;
- Power system with renewables control;
- Predictive maintenance of PV and wind power generation;
- Coordinated control of energy storage and renewables;
- Operation optimization of power systems with renewables;
- Smart energy management of the system with renewables;
- Coordination between renewables and demand-side management;
- Application of AI and ML for renewables control and operation.
Prof. Dr. Zhixin Wang
Dr. Jian Wang
Dr. Songli Fan
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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- renewables energy
- energy storage system
- power systems
- energy system
- control technologies
- optimization strategies
- artificial intelligence
- machine learning
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