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Microgrid Design and Operation Based on Smart Management Systems and...
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Microgrid Design and Operation Based on Smart Management Systems and Transactive Energy Concepts

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 5345

Special Issue Editors

Dr. Bogdan-Constantin Neagu

E-Mail Website
Guest Editor
Power Engineering Department, Gheorghe Asachi Technical University, 70005 Iasi, Romania
Interests: electricity transmission and distribution; power quality; energy efficiency; voltage regulation in distribution networks; artificial intelligence algorithms applied in power systems; new electricity trading concepts applied in microgrids; new technologies for small-scale retail electricity markets; blockchain trading; peer-to-peer electricity contracts
Special Issues, Collections and Topics in MDPI journals
Dr. Ovidiu Ivanov

E-Mail Website
Guest Editor
Power Engineering Department, Gheorghe Asachi Technical University, 70005 Iasi, Romania
Interests: smart grids; power systems monitoring and control; metaheuristic algorithms, intelligent computation algorithms for power systems, and electricity market design and operation; new technologies for small-scale retail electricity markets; software algorithms for power systems and electricity markets

Special Issue Information

Dear Colleagues,

The environmental challenges facing electricity generation are leading to a proliferation of scientific research aimed at transforming the way we know the electricity sector today. Scientists and engineers around the world are working on designing new decentralized electricity distribution networks, based on smart grid concepts such as smart metering, local and distributed network control, and smart utility and home energy management systems. On the technical side, these require new methods and algorithms, ranging in scale from large electrical networks, to microgrids and individual homes. Smart electricity networks with embedded digital equipment and distributed generation enable the creation of microgrid-level trading mechanisms for clean electricity and energy poverty mitigation. Innovative technology and concepts such as blockchain, crowdsourcing, local storage, and EV integration, need to be better understood and applied in real-world applications. This Special Issue aims to gather some of the latest efforts for creating novel management systems, trading mechanisms, and technical ideas, applied, but not limited to, microgrids with distributed generation, taking advantage of the concepts presented above, with regard to energy efficiency and influence on the current state-of-the-art in electricity network operation and control.

Submissions to this Special Issue are directed, but not limited to, the following main areas:

  • Prosumers and small-scale electricity generation;
  • Microgrid community and crowdsourcing concept;
  • Smart grid flexibility management;
  • Peer-to-peer energy trading in microgrids;
  • Blockchain for decentralized management of DR programs;
  • Flexibility assessment and forecasting;
  • Energy management for electric vehicles integration;
  • Virtual power plant;
  • Energy assets decentralized coordination;
  • Energy markets operation and coordinated clearance mechanisms
  • Demand response;
  • Microgrid design and operation;
  • Smart management systems;
  • Transactive energy concepts;
  • Information and communication technologies.

Dr. Bogdan-Constantin Neagu
Dr. Ovidiu Ivanov
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. Electronics 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 2400 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

  • data-controlled microgrids
  • small-scale renewable energy resources
  • smart metering
  • prosumers
  • data management and analytics
  • management of renewable energy
  • energy Internet
  • digital power grids
  • energy storage
  • electrical vehicles
  • peer-to-peer transaction
  • crowdsourcing concept
  • energy poverty mitigation
  • transactive energy
  • demand response

Published Papers (3 papers)

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Research

14 pages, 14098 KiB  
Article
Power Dispatching of Multi-Microgrid Based on Improved CS Aiming at Economic Optimization on Source-Network-Load-Storage
by Xiaodong Du, Libin Wang, Jianli Zhao, Yuling He and Kai Sun
Electronics 2022, 11(17), 2742; https://doi.org/10.3390/electronics11172742 - 31 Aug 2022
Cited by 9 | Viewed by 1305
Abstract
The multi-microgrid is gradually springing up with widespread use of the distributed generation. It is of great meaning to have research on the energy mutual optimization of the multi-microgrid to improve the new energy-consumption capacity. In this paper, a comprehensive economic model of [...] Read more.
The multi-microgrid is gradually springing up with widespread use of the distributed generation. It is of great meaning to have research on the energy mutual optimization of the multi-microgrid to improve the new energy-consumption capacity. In this paper, a comprehensive economic model of the multi-microgrid is proposed for optimizing the power dispatching, and the source-network-load-storage is taken into account. Different from other studies, the special novelty of this paper is the improved cuckoo search (CS) algorithm which is adopted to optimize the power dispatching of the multi-microgrid. Comparing with the particle swarm optimization (PSO) algorithm, the improved CS algorithm has better performance in solving the proposed model. The optimal power supply strategy is determined by predicting the optimal state of charge of the battery in the model of the multi-microgrid. The model effectiveness of the multi-microgrid is confirmed in the case study of Wangjiazhai area. With this method, the optimal power dispatching is determined. Full article
(This article belongs to the Special Issue Microgrid Design and Operation Based on Smart Management Systems and Transactive Energy Concepts)
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18 pages, 4645 KiB  
Article
A Hybrid Methodology Based on Smart Management Energy Consumption in Irrigation Systems
by Florina Scarlatache, Gheorghe Grigoras, Vlad-Andrei Scarlatache, Bogdan-Constantin Neagu and Ovidiu Ivanov
Electronics 2021, 10(22), 2864; https://doi.org/10.3390/electronics10222864 - 20 Nov 2021
Cited by 3 | Viewed by 1833
Abstract
Innovative practices in irrigation systems can bring improvements in terms of economic efficiency and, at the same time, can reduce environmental impacts. Investment in high-tech technologies frequently involves additional costs, but an efficient water management system can increase the lifetime of the equipment. [...] Read more.
Innovative practices in irrigation systems can bring improvements in terms of economic efficiency and, at the same time, can reduce environmental impacts. Investment in high-tech technologies frequently involves additional costs, but an efficient water management system can increase the lifetime of the equipment. The most utilized electronic device for a smart management, used to pump units from irrigation systems, is the frequency converter. This device can regulate the speed of the motors that control the pumps according to the consumption of water, ensuring that it does not pump more water than is needed. This paper develops a new operating algorithm that ensures the operation of the pumping group at safe operating intervals and identifies the equivalent pump operating points for the entire flow range and pumping height of the pumping group in order to bring smart management to irrigation systems. The parameters monitored and collected for each vertical pump refers to the voltage, current, frequency (speeds) and flow of each hydraulic operating mode. The methodology used is based on the principle of creating an expert system to optimize energy consumption in the pumping groups. The proposed methodology was tested on an irrigation system that includes a pumping group with five pumps, showing its effectiveness in obtaining the optimal solution with a relatively low computational burden and without the violation of any system constraints under any operating conditions. Full article
(This article belongs to the Special Issue Microgrid Design and Operation Based on Smart Management Systems and Transactive Energy Concepts)
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16 pages, 3398 KiB  
Article
A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids Using Inverter Automated Control
by Ovidiu Ivanov, Bogdan-Constantin Neagu, Mihai Gavrilas and Gheorghe Grigoras
Electronics 2021, 10(22), 2740; https://doi.org/10.3390/electronics10222740 - 10 Nov 2021
Cited by 1 | Viewed by 1331
Abstract
Four-wire low-voltage microgrids supply one-phase consumers with electricity, responding to a continuously changing demand. For addressing climate change concerns, national governments have implemented incentive schemes for residential consumers, encouraging the installation of home PV panels for covering self-consumption needs. In the absence of [...] Read more.
Four-wire low-voltage microgrids supply one-phase consumers with electricity, responding to a continuously changing demand. For addressing climate change concerns, national governments have implemented incentive schemes for residential consumers, encouraging the installation of home PV panels for covering self-consumption needs. In the absence of adequate storage capacities, the surplus is sold back by these entities, called prosumers, to the grid operator or, in local markets, to other consumers. While these initiatives encourage the proliferation of green energy resources, and ample research is dedicated to local market designs for prosumer–consumer trading, the main concern of distribution network operators is the influence of power flows generated by prosumers’ surplus injection on the operating states of microgrids. The change in power flow amount and direction can greatly influence the economic and technical operating conditions of radial grids. This paper proposes a metaheuristic algorithm for prosumer surplus management that optimizes the power surplus injections using the automated control of three-phase inverters, with the aim of reducing the active power losses over a typical day of operation. A case study was performed on two real distribution networks with distinct layouts and load profiles, and the algorithm resulted efficient in both scenarios. By optimally distributing the prosumer generation surplus on the three phases of the network, significant loss reductions were obtained, with the best results when the generated power was injected in an unbalanced, three-phase flow. Full article
(This article belongs to the Special Issue Microgrid Design and Operation Based on Smart Management Systems and Transactive Energy Concepts)
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