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Energies
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Advances in Power and Electrical Engineering
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Advances in Power and Electrical Engineering

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

Deadline for manuscript submissions: closed (25 June 2026) | Viewed by 2255

Editors

Dr. Ningyi Dai

E-Mail Website
Guest Editor
Department of Electrical and Electronics Engineering, University of Macau, Macao, China
Interests: power electronics; renewable energy integration; multi-level converter control
Special Issues, Collections and Topics in MDPI journals
Dr. Li Liu

E-Mail Website
Guest Editor
School of Electrical Engineering, Guangxi University, Nanning, China
Interests: power quality compensation; digital twin; renewable energy optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Ge Chen

E-Mail Website
Guest Editor
School of Advanced Engineering, Great Bay University, Dongguan, China
Interests: power system optimization; deep learning; transportation electrification
Prof. Dr. Tek-Tjing Lie

E-Mail Website
Guest Editor
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand
Interests: AI applications to power systems; power system control and operation; smart grids; renewable energy resources; energy management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the rapidly evolving landscape of power and electrical engineering, showcasing cutting-edge research and innovative solutions addressing critical challenges in energy generation, distribution, and utilization. The collection highlights advancements poised to reshape the future of a sustainable and reliable power infrastructure.

Topics of interests include, but are not limited to, the following:

  • Stability Analysis of Grids Dominated by Power Electronics.
  • Modeling, Optimization, and Control of Smart Grids.
  • Active Distribution Networks and Microgrids.
  • Integration of AI in Smart Grid Systems.
  • Renewable Energy Generation and Integration.
  • Virtual Power Plants (VPPs) and Aggregated DER Management.
  • Energy Storage Systems and Applications.
  • Electric Vehicles (EVs) and Charging Infrastructure.
  • Energy conversion for information technology and communication systems.
  • Emerging Power Electronics Technologies.
  • Electricity Markets and Carbon Markets.
  • Blockchain Technology for Energy Trading and Management.
  • Advanced Protection Devices and Relaying Techniques.
  • Power System Resilience under Natural Disasters.
  • Urban Power System Reliability and Resilience.

Dr. Ningyi Dai
Dr. Li Liu
Dr. Ge Chen
Prof. Dr. Tek-Tjing Lie
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-anonymized 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

  • smart grid
  • integrated energy system
  • renewable energy
  • power electronics

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Published Papers (1 paper)

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Research

37 pages, 15819 KB  
Article
Multi-Source Coordinated Supply-Guarantee Dispatch Strategy Under Consecutive-Day Renewable Energy Drought
by Xiaojie Pan, Bo Yang, Dejun Shao, Mujie Zhang, Mengxuan Shi, Yajun Wu and Dongsheng Li
Energies 2026, 19(13), 3205; https://doi.org/10.3390/en19133205 - 6 Jul 2026
Abstract
The large-scale integration of renewable energy has significantly improved the low-carbon performance of power systems, but has also increased operational uncertainty. Under extreme weather conditions, wind and solar power may experience consecutive days of simultaneous output shortfalls—referred to as “renewable energy drought”—leading to [...] Read more.
The large-scale integration of renewable energy has significantly improved the low-carbon performance of power systems, but has also increased operational uncertainty. Under extreme weather conditions, wind and solar power may experience consecutive days of simultaneous output shortfalls—referred to as “renewable energy drought”—leading to persistently high net load and severe challenges to supply guarantee. To address this issue, this paper proposes a multi-source coordinated supply-guarantee dispatch strategy for consecutive-day renewable energy drought scenarios. First, net load is defined as the total system load minus the available wind and solar output. Based on magnitude and duration thresholds, renewable energy drought events are extracted from historical data to generate representative scarcity scenarios. Second, a multi-source coordinated optimization dispatch model is constructed, incorporating wind power, solar power, thermal units, battery energy storage, and pumped-storage hydro. The objective is to minimize the total system operating cost, which includes thermal fuel cost, start-up/shut-down costs, storage cycling cost, wind/solar curtailment penalty cost, and load shedding penalty cost. The load shedding penalty coefficient is set to a magnitude much higher than conventional costs to highlight the priority of supply guarantee. The model accounts for operational constraints such as minimum up/down times, deep regulation capability, ramping limits of thermal units, and charge/discharge power limits of storage. Taking a provincial power system in China for the year 2030 as a case study, a dispatch case covering four consecutive days (96 time periods) is designed. Based on a baseline scenario, eight groups of sensitivity analyses are conducted to comprehensively investigate the impacts of key factors on the supply-guarantee strategy, including: the minimum up/down time of thermal units, deep regulation capability, load shedding penalty cost, load level, rated energy capacity and charge/discharge efficiency of battery energy storage, rated energy capacity and pumping/generating efficiency of pumped-storage hydro, thermal fuel cost coefficient, and renewable energy capacity. Simulation results show that the proposed strategy can effectively coordinate multiple resources under consecutive-day drought conditions; reducing the minimum up/down time of thermal units improves supply flexibility but increases start-up/shut-down costs; enhancing deep regulation capability optimizes storage utilization and reduces total system cost; the load shedding penalty cost directly determines the trade-off between supply guarantee and economic efficiency; and as load level decreases by 5%, 10%, and 15%, the total system operating cost reduces by approximately 6.3%, 12.5%, and 18.8%, respectively. This study provides a quantitative method and technical support for supply-guarantee dispatch decisions and resource allocation in high-renewable power systems under persistent drought conditions. Full article
(This article belongs to the Special Issue Advances in Power and Electrical Engineering)
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