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Dynamically Interconnected 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: closed (31 December 2021) | Viewed by 12772

Special Issue Editor


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Guest Editor
Computer Science and Engineering, Frankfurt University of Applied Sciences, 60318 Frankfurt, Germany
Interests: power electronics for electric vehicles and renewable energy; electrical energy storage and distributed power generation

Special Issue Information

Dear Colleagues,

Power grids are as important to society as blood vessels are to the human body. Traditional power grids are passive and centralized, with unsatisfactory energy utilization rate and flexibility. On the one hand, it is difficult to cope with the daily increasing distributed power supply, and on the other hand it is difficult to adapt to the rapidly changing demand for electricity and storage. Expanding the capacity and coverage of power grids in the traditional mode will place greater pressure on the environment, and face higher and higher marginal costs. Microgrids are an ideal solution to further improve the scale, coverage, efficiency, and flexibility of power grids. They are generally small power generation and distribution systems composed of a distributed power supply, energy storage device(s), energy conversion device(s), load, and monitoring and protection devices. They can realize the flexible and efficient application of various distributed power sources, such as solar energy, wind energy, hydropower, small generators, etc., realizing an active distribution power network and transforming a traditional power grid to a smart grid.

The Isle of Eigg, a small island 10 miles off the Scottish west coast that can hardly be reached by traditional power grids, is enjoying the benefit and convenience brought by a microgrid. In Bihar, India, a low-cost microgrid is providing electricity to more than 4000 rural households with low income. In China, rapidly increasing electric vehicles are being used as a new type of distributed mobile energy storage in microgrids to help the power grid to absorb the surplus electricity within it and to smooth the impact of power fluctuations. The emergence of microgrid clusters provides a more efficient and environmentally friendly solution for collecting distributed energy supply and solving random distributed electricity demand. The world’s microgrid capacity is expected to see a rapid increase in the coming years.

However, there are still obstacles to be overcome before microgrids can fully exert their capacity. The power sources in microgrids are complex and have different characteristics, which require unified coordination and management. Because of the different structures and characteristics between the microgrid and the backbone grid, it is still a difficult problem to transmit the surplus power in the microgrid to further places through the backbone grid. The interconnection and interaction between microgrids and the joint networking are also the bottlenecks of their application. Therefore, it is especially necessary to conduct in-depth research on these issues.

At present, academic and business circles have put forward some methods to improve the efficiency of microgrids and their networking characteristics, such as droop control technology, distribution algorithm improvement, intelligent distribution network planning methods, cooperative control methods, bird swarm algorithm, etc. Correspondingly, the software and hardware technologies supporting microgrids are also rapidly developing, although these methods and techniques are still far from mature.

Therefore, we are launching this Special Issue titled “Dynamic Interconnected Microgrids” and call for papers from scholars and enterprises all over the world, hoping to collect the most advanced research results at present, stimulate the collision of thinking, enlighten innovation, and make contributions to the further development of microgrid technology. The scope of this Special Issue includes but is not limited to the following:

  • Configuration of power source, loading, and storage in self-balancing microgrids;
  • Microgrid interconnection control technology;
  • Application of flexible connection and rigid connection in microgrid clusters;
  • Power balancing among microgrids in an interactive environment;
  • Networking interaction between microgrid and backbone network;
  • Microgrid cluster networking technology;
  • Optimal configuration of power switching nodes in microgrid clusters;
  • Coordination framework of decentralized autonomy and centralized control;
  • Microgrid control strategy based on hierarchical structure;
  • Reliability and security protection of microgrids;
  • Economic issues of microgrid dispatching;
  • Microgrid power electronic devices and equipment;
  • Application of artificial intelligence, neural networks, and block chain technology in microgrids;
  • Control of harmonics and clutter in microgrids.

Prof. Dr. Hartmut Hinz
Guest Editor

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Published Papers (4 papers)

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Research

25 pages, 8492 KiB  
Article
Recovery of Trains’ Braking Energy in a Railway Micro-Grid Devoted to Train plus Electric Vehicle Integrated Mobility
by Stefano Menicanti, Marco di Benedetto, Davide Marinelli and Fabio Crescimbini
Energies 2022, 15(4), 1261; https://doi.org/10.3390/en15041261 - 9 Feb 2022
Cited by 9 | Viewed by 2729
Abstract
This paper deals with the energy recovery resulting from the braking transient of trains arriving in a railway station, to feed a railway micro-grid that would be purposely connected to the railway traction circuit to feed the electrical infrastructure required for charging a [...] Read more.
This paper deals with the energy recovery resulting from the braking transient of trains arriving in a railway station, to feed a railway micro-grid that would be purposely connected to the railway traction circuit to feed the electrical infrastructure required for charging a fleet of electrical vehicles that are parked nearby the station and offered for providing train plus electric vehicle integrated mobility. Based on results of an experimental campaign intended to recording the mechanical quantities related to the braking transient of regional trains arriving in a medium-size station of the Italian railways network, this paper describes a suitable quasi-stationary model that allows the evaluation of the amount of energy that is recoverable over each single day of operation, as well as the micro-grid dynamic electric behaviour due to the sudden energy recovery transient in the railway catenary. The proposed railway micro-grid is discussed, particularly concerning the configuration of the dual-active-bridge converter for regulating the power flow from the railway catenary to the micro-grid during an energy recovery transient, as well as by considering the DC-DC converter that is used in the micro-grid, together with battery storage to provide voltage stability according to the micro-grid operating condition. Full article
(This article belongs to the Special Issue Dynamically Interconnected Microgrids)
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23 pages, 3411 KiB  
Article
Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities
by Giacomo Talluri, Gabriele Maria Lozito, Francesco Grasso, Carlos Iturrino Garcia and Antonio Luchetta
Energies 2021, 14(24), 8480; https://doi.org/10.3390/en14248480 - 15 Dec 2021
Cited by 44 | Viewed by 3816
Abstract
In this work, a strategy for scheduling a battery energy storage system (BESS) in a renewable energy community (REC) is proposed. RECs have been defined at EU level by the 2018/2001 Directive; some Member States transposition into national legislation defined RECs as virtual [...] Read more.
In this work, a strategy for scheduling a battery energy storage system (BESS) in a renewable energy community (REC) is proposed. RECs have been defined at EU level by the 2018/2001 Directive; some Member States transposition into national legislation defined RECs as virtual microgrids since they still use the existing low voltage local feeder and share the same low-medium voltage transformer. This work analyzes a REC which assets include PV generators, BESS and non-controllable loads, operating under the Italian legislative framework. A methodology is defined to optimize REC economic revenues and minimize the operation costs during the year. The proposed BESS control strategy is composed by three different modules: (i) a machine learning-based forecast algorithm that provides a 1-day-ahead projection for microgrid loads and PV generation, using historical dataset and weather forecasts; (ii) a mixed integer linear programming (MILP) algorithm that optimizes the BESS scheduling for minimal REC operating costs, taking into account electricity price, variable feed-in tariffs for PV generators, BESS costs and maximization of the self-consumption; (iii) a decision tree algorithm that works at the intra-hour level, with 1 min timestep and with real load and PV generation measurements adjusting the BESS scheduling in real time. Validation of the proposed strategy is performed on data acquired from a real small-scale REC set up with an Italian energy provider. A 10% average revenue increase could be obtained for the prosumer alone when compared to the non-optimized BESS usage scenario; such revenue increase is obtained by reducing the BESS usage by around 30% when compared to the unmanaged baseline scenario. Full article
(This article belongs to the Special Issue Dynamically Interconnected Microgrids)
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29 pages, 33038 KiB  
Article
Power Sharing and Control Strategy for Provisionally Coupled Microgrid Clusters through an Isolated Power Exchange Network
by S.M. Ferdous, Farhad Shahnia and GM Shafiullah
Energies 2021, 14(22), 7514; https://doi.org/10.3390/en14227514 - 10 Nov 2021
Cited by 3 | Viewed by 1837
Abstract
The two common mechanisms of load-shedding and renewable curtailment can prevent provisional overloading and excessive generation and the subsequent unacceptable voltage and frequency deviation in standalone microgrids (MGs), which makes MGs less resilient and reliable. However, instead of enabling load-shedding or renewable curtailment, [...] Read more.
The two common mechanisms of load-shedding and renewable curtailment can prevent provisional overloading and excessive generation and the subsequent unacceptable voltage and frequency deviation in standalone microgrids (MGs), which makes MGs less resilient and reliable. However, instead of enabling load-shedding or renewable curtailment, such overloading or over-generation problems can be alleviated more efficiently and cost-effectively by provisionally interconnecting the neighboring MGs to exchange power amongst themselves. In such a scheme, the interconnected MGs can supply their local demand, as well as a portion of the demand of the adjacent MGs. In order to implement this strategy, a three-phase ac link can be used as the power exchange network, while each MG is coupled to the link through a back-to-back power electronics converter, in order to maintain the autonomy of each MG if they are eachoperated under different standards. This paper proposes a suitable decentralized power management strategy without a communication link between the MGs to achieve power-sharing amongst them and alleviate unacceptable voltage and frequency deviation along with the required control technique for the power electronic converters, which can be implemented at the primary level based on the measurement of the local parameters only. To this end, one of the converters should always regulate the dc link voltage while the other converter should operate in droop control mode when the MG is healthy and in constant PQ mode when overloaded or over-generating. Suitable status detection and mode transition algorithms and controllers were also developed and are proposed in this paper. The performance of the proposed power exchange and control mechanisms were evaluated and verified via PSIM®-based numerical simulation studies. The stability and sensitivity of the proposed power exchange topology are also analyzed against several critical design and operational parameters. Full article
(This article belongs to the Special Issue Dynamically Interconnected Microgrids)
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30 pages, 2995 KiB  
Article
On the Assessment of Cyber Risks and Attack Surfaces in a Real-Time Co-Simulation Cybersecurity Testbed for Inverter-Based Microgrids
by Kirti Gupta, Subham Sahoo, Bijaya Ketan Panigrahi, Frede Blaabjerg and Petar Popovski
Energies 2021, 14(16), 4941; https://doi.org/10.3390/en14164941 - 12 Aug 2021
Cited by 25 | Viewed by 3324
Abstract
The integration of variable distributed generations (DGs) and loads in microgrids (MGs) has made the reliance on communication systems inevitable for information exchange in both control and protection architectures to enhance the overall system reliability, resiliency and sustainability. This communication backbone in turn [...] Read more.
The integration of variable distributed generations (DGs) and loads in microgrids (MGs) has made the reliance on communication systems inevitable for information exchange in both control and protection architectures to enhance the overall system reliability, resiliency and sustainability. This communication backbone in turn also exposes MGs to potential malicious cyber attacks. To study these vulnerabilities and impacts of various cyber attacks, testbeds play a crucial role in managing their complexity. This research work presents a detailed study of the development of a real-time co-simulation testbed for inverter-based MGs. It consists of a OP5700 real-time simulator, which is used to emulate both the physical and cyber layer of an AC MG in real time through HYPERSIM software; and SEL-3530 Real-Time Automation Controller (RTAC) hardware configured with ACSELERATOR RTAC SEL-5033 software. A human–machine interface (HMI) is used for local/remote monitoring and control. The creation and management of HMI is carried out in ACSELERATOR Diagram Builder SEL-5035 software. Furthermore, communication protocols such as Modbus, sampled measured values (SMVs), generic object-oriented substation event (GOOSE) and distributed network protocol 3 (DNP3) on an Ethernet-based interface were established, which map the interaction among the corresponding nodes of cyber-physical layers and also synchronizes data transmission between the systems. The testbed not only provides a real-time co-simulation environment for the validation of the control and protection algorithms but also extends to the verification of various detection and mitigation algorithms. Moreover, an attack scenario is also presented to demonstrate the ability of the testbed. Finally, challenges and future research directions are recognized and discussed. Full article
(This article belongs to the Special Issue Dynamically Interconnected Microgrids)
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