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Near-Optimal Operation of Distributed Energy Resources Based on Microgrids
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Near-Optimal Operation of Distributed Energy Resources Based on Microgrids

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

Deadline for manuscript submissions: 3 January 2025 | Viewed by 1871

Special Issue Editor

Dr. Yixin Liu

E-Mail Website
Guest Editor
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Interests: microgrid planning and operation optimization; distributed optimization and control of distribution networks

Special Issue Information

Dear Colleagues,

Distributed energy resources are currently being deployed on a large scale to meet the requirements of increased energy demand and achieve socio-economic benefits for sustainable development. The integration of such distributed energy sources into the utility grid paves the way for microgrids, which are considered self-sustained systems for the efficient integration and management of distributed energy sources and multiple types of loads.  Through microgrid technology, it is possible to achieve near-optimal operation of distributed energy sources and collaboration with distribution networks. However, the volatility, intermittency, and heterogeneity of distributed renewable energy pose significant challenges to the planning, operation, control, and market transactions of microgrids. How to maximize the value of microgrids and support efficient utilization of clean energy has attracted significant attention from academic and industry researchers.

This Special Issue aims to present and disseminate the most recent advances related to the theory and application of near-optimal operation of distributed energy resources based on microgrids.

Topics of interest for publication include, but are not limited to, the following:

  • Distributed resource aggregation and planning;
  • Electricity market design for the efficient integration and management of distributed energy sources;
  • Advanced optimization theory for microgrids planning and operations;
  • Advanced optimization theory for active distribution networks with large-scale distributed energy sources;
  • Grid-forming technologies for distributed energy sources and microgrids.

Dr. Yixin Liu
Guest Editor

Manuscript Submission Information

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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

  • distributed resource aggregation
  • microgrid planning, operation, and control
  • electricity market mechanism
  • optimization of active distribution networks

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Published Papers (3 papers)

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Research

27 pages, 7784 KiB  
Article
Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids
by Ziming Zhou, Zihao Wang, Yanan Zhang and Xiaoxue Wang
Energies 2024, 17(22), 5661; https://doi.org/10.3390/en17225661 - 13 Nov 2024
Viewed by 352
Abstract
As the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the transmission grid [...] Read more.
As the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the transmission grid and hinder the active regulation capabilities of distribution networks. To address this issue, this paper proposes a coordinated optimization method for distribution networks and microgrid clusters considering frequency constraints. First, the confidence interval of disturbances was determined based on historical forecast deviation data. On this basis, a second-order cone programming model for distribution networks with embedded frequency security constraints was established. Then, microgrids performed economic dispatch considering the reserves requirement to provide inertia and primary frequency support, and a stochastic optimization model with conditional value-at-risk was built to address uncertainties. Finally, a cooperative game between the distribution network and microgrid clusters was established, determining the reserve capacity provided by each microgrid and the corresponding prices through Nash bargaining. The model was further transformed into two sub-problems, which were solved in a distributed manner using the ADMM algorithm. The effectiveness of the proposed method in enhancing the operational security and economic efficiency of the distribution networks is validated through simulation analysis. Full article
(This article belongs to the Special Issue Near-Optimal Operation of Distributed Energy Resources Based on Microgrids)
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15 pages, 3261 KiB  
Article
A Fast Converter Synchronization Speed Method Based on the Frequency Difference on Both Sides of the Grid Connection Point
by Jiangang Lu, Haobin Li, Feng Liao, Yuhui Huang and Xialin Li
Energies 2024, 17(22), 5639; https://doi.org/10.3390/en17225639 - 11 Nov 2024
Viewed by 446
Abstract
The challenge of achieving a reliable and safe synchronization process for microgrids under weak communication conditions is a significant issue in distributed grid-connected energy storage. This is also the core motivation of this study. First, the concept of weak communication is introduced, and [...] Read more.
The challenge of achieving a reliable and safe synchronization process for microgrids under weak communication conditions is a significant issue in distributed grid-connected energy storage. This is also the core motivation of this study. First, the concept of weak communication is introduced, and weak communication conditions are simulated by limiting the number of communications. Additionally, a fast synchronization method based on the frequency difference at the grid connection point is proposed, which allows for the rapid synchronization of converters under weak communication conditions. This method also includes an analysis of the range for key parameters, providing practical and feasible guidance for its real-world application. Finally, the validity of the theory is verified through PSCAD/EMTDC simulations and physical experiments. Full article
(This article belongs to the Special Issue Near-Optimal Operation of Distributed Energy Resources Based on Microgrids)
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19 pages, 3179 KiB  
Article
An Active Distribution Network Voltage Optimization Method Based on Source-Network-Load-Storage Coordination and Interaction
by Junyu Liang, Jun Zhou, Xingyu Yuan, Wei Huang, Xinyong Gong and Guipeng Zhang
Energies 2024, 17(18), 4645; https://doi.org/10.3390/en17184645 - 17 Sep 2024
Viewed by 735
Abstract
In response to global energy, environment, and climate concerns, distributed photovoltaic (PV) power generation has seen rapid growth. However, the intermittent and uncertain nature of PVs can cause voltage fluctuations in distribution systems, threatening their stability. To address this challenge, this paper proposes [...] Read more.
In response to global energy, environment, and climate concerns, distributed photovoltaic (PV) power generation has seen rapid growth. However, the intermittent and uncertain nature of PVs can cause voltage fluctuations in distribution systems, threatening their stability. To address this challenge, this paper proposes an active distribution network voltage optimization method, of which the main contribution is the development of a comprehensive voltage optimization strategy that integrates day-ahead prediction and real-time adjustment, significantly enhancing the stability and efficiency of distribution networks with high PV penetration. In the day-ahead prediction stage, the forecast scenarios of load and PV output guide network reconfiguration for improved voltage distribution. In the real-time operation stage, flexible regulation of PV and energy storage systems is used to adjust power outputs, further optimizing voltage quality. Simulations on the IEEE 33-bus system show that the method effectively improves voltage distribution, enhances renewable energy consumption, and ensures the safe, economic operation of the distribution system. Full article
(This article belongs to the Special Issue Near-Optimal Operation of Distributed Energy Resources Based on Microgrids)
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