Optimizing Power Quality in Smart Grid Systems

Dear Colleagues,

The optimization of power quality in smart grid systems has become a significant area of research and development in recent years. Smart grid systems offer advanced monitoring, control, and communication capabilities that enable the implementation of various techniques to optimize power quality. These techniques aim to detect and mitigate power quality disturbances in real time, ensuring a stable and high-quality power supply.

One approach to optimizing power quality in smart grid systems is through the deployment of advanced monitoring devices and sensors. These devices collect data on various power quality parameters, such as voltage, current, and frequency, allowing real-time monitoring and analysis. With this information, utilities can identify and locate power quality issues quickly, enabling prompt corrective action.

Another strategy involves the use of advanced control algorithms and intelligent devices. These algorithms analyze the collected data and make decisions to mitigate power quality disturbances. For example, when a voltage sag is detected, an intelligent device can quickly compensate by injecting reactive power to maintain voltage stability.

Furthermore, communication technologies play a crucial role in power quality optimization. Smart grid systems rely on robust communication networks to facilitate the exchange of information between different components, such as sensors, control devices, and utility control centers. This enables coordinated control and management of power quality across the grid, ensuring efficient and effective responses to disturbances.

Overall, this Special Issue aims to gather research papers and reviews of the strategies, technologies, and challenges associated with optimizing power quality in smart grid systems. It brings together the latest research and practical insights from experts in the field, offering valuable guidance for utilities, researchers, and policymakers. By optimizing power quality, smart grid systems can ensure reliable, efficient, and sustainable power delivery, meeting the evolving needs of the modern electricity grid.

Prof. Dr. Yanhong Luo
Dr. Bowen Zhou
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.

• power quality
• smart grid
• distributed power generation
• energy management
• renewable energy
• optimal control
• low voltage
• intelligent diagnosis