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Advanced Optimization and Control Technologies for Microgrid Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1196

Special Issue Editors


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Guest Editor
School of Electrical Engineering, University of Jinan, Jinan, China
Interests: complex energy system modeling and optimization; renewable energy control; energy scheduling optimization and management; integrated energy system optimization and operation

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Guest Editor
Department of Electrical and Electronic Engineering, School of Advanced Technology, Xi’an Jiaotong Liverpool University, Suzhou, China
Interests: microgrid; stability analysis; cyber-physical; power system

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Guest Editor
Department of Electronic Electrical and Systems Engineering, University of Birmingham, Birmingham B15 2TT, UK
Interests: energy system modelling and optimisation; renewable energy integration; digitalisation, digital twin, and machine learning for energy system analytics; energy policy and economics; local energy markets and peer-to-peer energy trading

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Guest Editor
Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Interests: microgrid control and energy management; renewable power generation control and grid-connected operation; modeling, analysis, and control of electronized power systems and smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleague,

To fully integrate and utilize distributed energy resources, modern power systems need to transition from traditional centralized structures to more distributed and decentralized structures. Microgrid (MG) systems, as a local small-scale power systems, can manage their power supply, distributed generation, energy storage, and loads autonomously within given operational boundaries. However, enormous challenges have also been brought into microgrids, considering the complex operation scenarios, low inertia, system dynamic coupling, and randomness characteristics of renewable energies. As a result, advanced optimization and control technologies are vital to ensure the stability and optimal operation of MG systems. This Special Issue aims to explore the diverse applications of optimization and control technologies in MG systems and analyze the MG operation characteristics and stability mechanism. The potential findings will deepen understandings of MG system characteristics, enhance system stability, and achieve an optimal operation.

We invite researchers to submit original research papers, reviews, and technical notes. The manuscripts should present innovative methodologies, explore theoretical findings, and showcase practical applications that contribute to the optimal operation, control strategy design, and stability mechanism study of MG systems.

The main topics of interest include, but are not limited to, the following:

  1. Optimal operation for the cost reduction of microgrid systems;
  2. Market design for microgrid systems;
  3. Optimal planning for microgrid systems;
  4. Optimal energy management in multi-energy microgrid systems;
  5. Distributed optimization strategy for microgrid systems;
  6. Hierarchical control structure for microgrid systems;
  7. Stability analysis and stability-enhancement control in microgrid systems;
  8. Advanced distributed control in microgrid systems;
  9. Advanced control strategies for cyber-attacks in microgrid systems.

Dr. Luhao Wang
Dr. Weitao Yao
Dr. Weiqi Hua
Dr. Zhuoli Zhao
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

  • microgrid
  • optimal operation
  • control strategy

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Published Papers (1 paper)

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Research

24 pages, 3489 KiB  
Article
Coordinated Planning for Multiarea Wind-Solar-Energy Storage Systems That Considers Multiple Uncertainties
by Weijie Wu, Yixin Li, Shu Wang, Zheng Wang, Shucan Zhou, Yining Zhang and Minjia Zheng
Energies 2024, 17(21), 5242; https://doi.org/10.3390/en17215242 - 22 Oct 2024
Cited by 2 | Viewed by 869
Abstract
As the scale of renewable energy sources (RESs) expands, it is essential to optimize the configuration of wind, solar, and storage resources across different areas. Nevertheless, the unavoidable uncertainties associated with both energy supply and demand present significant challenges for planners. This study [...] Read more.
As the scale of renewable energy sources (RESs) expands, it is essential to optimize the configuration of wind, solar, and storage resources across different areas. Nevertheless, the unavoidable uncertainties associated with both energy supply and demand present significant challenges for planners. This study aims to address the challenge of coordinated planning for multiarea wind-solar-energy storage systems considering multiple uncertainties. First, uncertainties related to future peak demand, thermal generation output boundaries, demand variability, and stochastic unit production are analyzed and modeled on the basis of robust optimization and stochastic programming techniques. Then, a hierarchical coordinated planning model that incorporates both system-wide (SW) and local area (LA) planning models is proposed. The SW planning model is designed to manage the optimal capacity configuration of RESs and energy storage systems (ESSs) within each LA, as well as the operational boundary of LAs. The LA planning models aim to further optimize the capacities of RESs and ESSs and minimize the economic cost within each LA on the basis of local resource characteristics. To achieve the optimal solution, the analytical target cascading (ATC) algorithm is integrated with the column-and-constraint generation (C&CG) algorithm. The simulation results validate the effectiveness and reasonableness of the proposed coordinated planning model, which not only outperforms independent planning approaches but also effectively manages the uncertainties. Full article
(This article belongs to the Special Issue Advanced Optimization and Control Technologies for Microgrid Systems)
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