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Energies
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Trends and Challenges in Power System Stability and Control
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Trends and Challenges in Power System Stability and Control

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1090

Special Issue Editors

Prof. Dr. Ke Xu

E-Mail Website
Guest Editor
Department of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Interests: power system control; smart grid; power system protection; renewable energy; AI in power system
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yuan Liao

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA
Interests: energy management system; intelligent techniques; power quality Monitoring and analysis; power system economics and optimization; protective relaying security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the energy sector undergoes rapid evolution, power systems worldwide face unprecedented challenges. The integration of renewable energy sources, the advent of distributed generation, and the growing demands of modern infrastructure are reshaping how power systems are designed, operated, and controlled.

This Special Issue aims to highlight the latest trends, research, and innovations in the field of power system stability and control.

Prof. Dr. Ke Xu
Prof. Dr. Yuan Liao
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

  • power system control
  • power system stability
  • power system operation
  • renewable energy resources
  • intelligent techniques
  • power system analysis
  • power system protection
  • renewable energy integration
  • smart grid
  • microgrid

Published Papers (1 paper)

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Research

13 pages, 1640 KiB  
Article
Two-Stage Optimal Scheduling Based on the Meteorological Prediction of a Wind–Solar-Energy Storage System with Demand Response
by Lu Wei, Yiyin Li, Boyu Xie, Ke Xu and Gaojun Meng
Energies 2024, 17(6), 1286; https://doi.org/10.3390/en17061286 - 7 Mar 2024
Viewed by 564
Abstract
With large-scale wind and solar power connected to the power grid, the randomness and volatility of its output have an increasingly serious adverse impact on power grid dispatching. Aiming at the system peak shaving problem caused by regional large-scale wind power photovoltaic grid [...] Read more.
With large-scale wind and solar power connected to the power grid, the randomness and volatility of its output have an increasingly serious adverse impact on power grid dispatching. Aiming at the system peak shaving problem caused by regional large-scale wind power photovoltaic grid connection, a new two-stage optimal scheduling model of wind solar energy storage system considering demand response is proposed. There is a need to comprehensively consider the power generation cost of various types of power sources, day-ahead load forecasting information, and other factors and plan the day-ahead output plan of the energy storage system with the minimum system operation cost as the optimization objective of day-ahead dispatching. The demand response strategy is introduced into the time-ahead optimal scheduling, and the optimization of the output value of the energy storage system in each period is studied with the goal of minimizing the system adjustment cost. The particle swarm optimization algorithm is used to solve the model, and the IEEE33 node system is used for an example simulation. The results show that using the demand response and the collaborative effect of the energy storage system can suppress the uncertainty of wind power and photovoltaic power, improve the utilization rate of the system, reduce the power generation cost of the system, and achieve significant comprehensive benefits. Full article
(This article belongs to the Special Issue Trends and Challenges in Power System Stability and Control)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Control strategy of wind energy storage combined primary frequency regulation based on wind turbine operation state
Authors: Linlin Yu; Yuming Cheng; Gaojun Meng; Shuyu Chen; Yang Lu; Ke Xu
Affiliation: School of Electric Power Engineering, Nanjing Institute of Technology
Abstract: With the continuous improvement of wind power penetration in power system, the volatility and unpredictability of wind power generation have increased the burden of system frequency reg-ulation. With its flexible control mode and fast power adjustment speed, energy storage has ob-vious advantages in participating in power grid frequency regulation. Therefore, this paper studies the control strategy of wind energy storage combined with primary frequency regulation, and proposes a control method of wind energy storage combined with primary frequency regulation based on the operation state of wind turbines. This paper analyzes the reserve power and rotor reserve kinetic energy of wind turbines operating in different wind speed ranges, introduces the fan frequency regulation operation state coefficient to quantify the real-time frequency regulation ability of the unit, regards the fan and energy storage system as independent frequency regulation sources, and uses the frequency regulation operation state coefficient to distribute the wind and storage power output, and designs the control strategy of joint frequency regulation of wind and storage in different wind speed ranges. Finally, the effectiveness of the joint frequency modulation control strategy of wind storage in low, medium and high wind speed regions is verified in the simulation model.

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