Topic Editors

College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Dr. Zhejing Bao
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Control and Optimization of Networked Microgrids

Abstract submission deadline
20 October 2024
Manuscript submission deadline
31 December 2024
Viewed by
4198

Topic Information

Dear Colleagues,

The microgrid, as an indispensable part of the smart grid, has received dramatically increasing attention during the past three decades. With prosperous development in distributed generations, the microgrid has been deemed to be an effective solution for future energy systems due to its prominent role in the accommodation of intermittent renewable energy. In particular, networked microgrids have emerged in recent years due to their capability to counteract the strong volatility of new energy, remain stable and provide optimal operation due to mutual support between multiple adjacent subgrids. Control and optimization are the most significant technologies in the operation of networked microgrids. The control and optimization of networked microgrids not only require the source–load coordination inside each subgrid, but also demand the coordinated interaction between multiple subgrids. This is extremely difficult when a large amount of subgrids are participating, which is becoming inevitable for future energy systems. This topic aims to collect the latest developments in the control and optimization of networked microgrids. We are pleased to invite the research community to submit their contributions on the following topics which include, but are not limited to, the following:

  • Distributed/decentralized control of networked microgrids;
  • Stability analysis of networked microgrids with renewable energy resources;
  • Distributed/decentralized energy management of networked microgrids;
  • Control and optimization of AC/DC microgrid;
  • Cyber-physical networked microgrids;
  • Energy trading of networked microgrids;
  • Integrated energy systems;
  • Virtual power plant considering networked microgrids;
  • AI application in networked microgrids;
  • Demonstrated projects regarding networked microgrids.

Prof. Dr. Miao Yu
Dr. Zhejing Bao
Topic Editors

Keywords

  • networked microgrids
  • multiple microgrids
  • microgrid cluster
  • AC/DC microgrid
  • DC microgrid
  • distributed generation
  • renewable energy
  • integrated energy system
  • virtual power plant
  • smart grid

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Electricity
electricity
- - 2020 20.3 Days CHF 1000 Submit
Electronics
electronics
2.9 4.7 2012 15.6 Days CHF 2400 Submit
Energies
energies
3.2 5.5 2008 16.1 Days CHF 2600 Submit
Journal of Low Power Electronics and Applications
jlpea
2.1 3.1 2011 22.2 Days CHF 1800 Submit
Sensors
sensors
3.9 6.8 2001 17 Days CHF 2600 Submit
Automation
automation
- - 2020 26.3 Days CHF 1000 Submit

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Published Papers (3 papers)

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23 pages, 579 KiB  
Article
Optimal Sizing of Movable Energy Resources for Enhanced Resilience in Distribution Systems: A Techno-Economic Analysis
by Mukesh Gautam and Mohammed Ben-Idris
Electronics 2023, 12(20), 4256; https://doi.org/10.3390/electronics12204256 - 14 Oct 2023
Cited by 3 | Viewed by 890
Abstract
This article introduces a techno-economic analysis aimed at identifying the optimal total size of movable energy resources (MERs) to enhance the resilience of electric power supply. The core focus of this approach is to determine the total size of MERs required within the [...] Read more.
This article introduces a techno-economic analysis aimed at identifying the optimal total size of movable energy resources (MERs) to enhance the resilience of electric power supply. The core focus of this approach is to determine the total size of MERs required within the distribution network to expedite restoration after extreme events. Leveraging distribution line fragility curves, the proposed methodology generates numerous line outage scenarios, with scenario reduction techniques employed to minimize computational burden. For each reduced multiple line outage scenario, a systematic reconfiguration of the distribution network, represented as a graph, is executed using tie-switches within the system. To evaluate each locational combination of MERs for a specific number of these resources, the expected load curtailment (ELC) is calculated by summing the load curtailment within microgrids formed due to multiple line outages. This process is repeated for all possible locational combinations of MERs to determine minimal ELC for each MER total size. For every MER total size, the minimal ELCs are determined. Finally, a techno-economic analysis is performed using power outage cost and investment cost of MERs to pinpoint an optimal total size of MERs for the distribution system. To demonstrate the effectiveness of the proposed approach, case studies are conducted on the 33-node and the modified IEEE 123-node distribution test systems. Full article
(This article belongs to the Topic Control and Optimization of Networked Microgrids)
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24 pages, 4082 KiB  
Article
Centralized Protection of Networked Microgrids with Multi-Technology DERs
by Adeyemi Charles Adewole, Athula D. Rajapakse, Dean Ouellette and Paul Forsyth
Energies 2023, 16(20), 7080; https://doi.org/10.3390/en16207080 - 13 Oct 2023
Viewed by 838
Abstract
The structure and connections in networked microgrids consisting of two or more interconnected microgrids is influenced by the dynamic behaviors of power markets, the demand and supply interactions between market participants, and the possibility of operating in the grid-connected or islanded modes. Protection [...] Read more.
The structure and connections in networked microgrids consisting of two or more interconnected microgrids is influenced by the dynamic behaviors of power markets, the demand and supply interactions between market participants, and the possibility of operating in the grid-connected or islanded modes. Protection zones in the above-mentioned scenarios are dynamic and should not be determined a priori. Also, fault currents will vary depending on the operating modes, online or offline status of Distributed Energy Resources (DERs), variation of solar irradiation or wind speed, etc. This paper proposes a Centralized Intelligent Station-Level Protection (CISP) approach for the protection of various electric power equipment technologies in networked (interconnected) microgrids using adaptive protective relaying algorithms and a network theory-based zone selection algorithm. The proposed CISP approach utilizes wide area IEC 61869-9 Sampled Values (SVs) measurements and IEC 61850 Generic Object-Oriented Substation Events (GOOSE) messages, intelligently determines the protection zones, and automatically selects the protection algorithms to use in each of the protection zones based on the prevailing system topology and operating conditions. The effectiveness of the proposed CISP approach is demonstrated through real-time simulations using the RTDS®. The results obtained were promising for the various system configurations, operating conditions, and fault conditions considered. Full article
(This article belongs to the Topic Control and Optimization of Networked Microgrids)
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24 pages, 1573 KiB  
Review
Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review
by Juan Moreno-Castro, Victor Samuel Ocaña Guevara, Lesyani Teresa León Viltre, Yandi Gallego Landera, Oscar Cuaresma Zevallos and Miguel Aybar-Mejía
Energies 2023, 16(16), 5935; https://doi.org/10.3390/en16165935 - 11 Aug 2023
Cited by 1 | Viewed by 1526
Abstract
In recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. [...] Read more.
In recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. By employing ED in electric MGs, the utilization of distributed energy resources becomes more flexible, enhancing energy system efficiency. Additionally, it enables the anticipation and proper utilization of operational limitations and encourages the active involvement of prosumers in the electricity market. However, implementing controllers and algorithms for optimizing ED requires the independent handling of constraints. Numerous algorithms and solutions have been proposed for the ED of MGs. These contributions suggest utilizing techniques such as particle swarm optimization (PSO), mixed-integer linear programming (MILP), CPLEX, and MATLAB. This paper presents an investigation of the use of model predictive control (MPC) as an optimal management tool for MGs. MPC has proven effective in ED by allowing the prediction of environmental or dynamic models within the system. This study aims to review MGs’ management strategies, specifically focusing on MPC techniques. It analyzes how MPC has been applied to optimize ED while considering MGs’ unique characteristics and requirements. This review aims to enhance the understanding of MPC’s role in efficient MG management, guiding future research and applications in this field. Full article
(This article belongs to the Topic Control and Optimization of Networked Microgrids)
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