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Energies
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Frontiers in Smart Grids: Systems and Devices
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Frontiers in Smart Grids: Systems and Devices

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 (30 April 2022) | Viewed by 10226

Special Issue Editors

Dr. Nien-Che Yang

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
Interests: smart grid; microgrid; distribution generation; renewable energy; power system engineering; power distribution engineering; building energy conservation; artificial intelligence (machine learning and deep learning); power quality; smart electric vehicle
Special Issues, Collections and Topics in MDPI journals
Dr. Ting-Yen Hsieh

E-Mail Website
Guest Editor
Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu 31040, Taiwan
Interests: smart grid; microgrid; energy management system

Special Issue Information

Dear Colleagues,

The Guest Editor of the Special Issue “Frontiers in Smart Grids: Systems and Devices” is inviting researchers and scientists to publish their insights from research that contribute to the development of smart grids. Smart grids are currently of great importance since their application can improve the efficiency and sustainability of a power grid. It can also minimize energy loss that can reduce the user’s economic expenses when considering the broader effects. The wide range of smart grid applications, including renewable energy resources, energy efficiency, energy distribution, and control and security use, has strengthened the foundation for smart grid development. Considering all the benefits that smart grid systems offer, we believe that great achievements lie waiting in the future of power grid systems.

Given all the newly developed methods that may significantly contribute to smart grid deployments, we are particularly interested in the following topics:

  • Advanced technologies and methodologies for smart grids
  • Smart infrastructure for smart grids
  • Artificial intelligence application for smart grids
  • Integration of power generation, power distribution, and power utility
  • Control and security strategy of smart grids
  • Renewable energy resources and grid connections
  • Disruptions, failures, and solutions of renewable energy generation
  • Energy storage technologies of smart grids
  • Policy and regulations for renewable energy generation grid connections
  • New technological applications for smart meters
  • Smart charging technologies and infrastructures for electric vehicles
  • Failure detection and maintenance of smart grids
  • Power theft and its solution
  • Short-term and long-term socioeconomic effect of smart grids

Submissions on other topics are also welcome so long as they fit in with the Special Issue theme.

Dr. Nien-Che Yang
Dr. Ting-Yen Hsieh
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

  • smart grid
  • renewable energy system
  • electric vehicle application
  • artificial intelligence for power systems

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Published Papers (4 papers)

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Research

16 pages, 3342 KiB  
Article
Three-Phase Unbalance Improvement for Distribution Systems Based on the Particle Swarm Current Injection Algorithm
by Chien-Kuo Chang, Shih-Tang Cheng and Bharath-Kumar Boyanapalli
Energies 2022, 15(9), 3460; https://doi.org/10.3390/en15093460 - 9 May 2022
Cited by 8 | Viewed by 2603
Abstract
The aim of this study is to improve the three-phase unbalanced voltage at the secondary side of a distribution transformer. The proposed method involves compensation sources injecting three different single-phase currents into the connected point of a grid. The computations of optimal single-phase [...] Read more.
The aim of this study is to improve the three-phase unbalanced voltage at the secondary side of a distribution transformer. The proposed method involves compensation sources injecting three different single-phase currents into the connected point of a grid. The computations of optimal single-phase currents are performed using the circuit analysis method and particle swarm optimization algorithm. An unbalanced three-phase power distribution system model is constructed, including a transformer Δ–Δ connection, V–V connection, load balance, load unbalance combination, and three single-phase compensation current sources. The results show that the voltage unbalance rate of the electricity user side is improved to less than 1%, and the three-phase total compensation apparent power is approximately 0 VA. In the future, the application of the model as an auxiliary service could be achieved by adding an energy storage system. Full article
(This article belongs to the Special Issue Frontiers in Smart Grids: Systems and Devices)
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22 pages, 9052 KiB  
Article
Optimal Individual Phase Voltage Regulation Strategies in Active Distribution Networks with High PV Penetration Using the Sparrow Search Algorithm
by Yih-Der Lee, Wei-Chen Lin, Jheng-Lun Jiang, Jia-Hao Cai, Wei-Tzer Huang and Kai-Chao Yao
Energies 2021, 14(24), 8370; https://doi.org/10.3390/en14248370 - 12 Dec 2021
Cited by 12 | Viewed by 2428
Abstract
This study aimed to propose individual phase voltage regulation strategies using the sparrow search algorithm (SSA) in the IEEE 8500-node large-scale unbalanced distribution network with high photovoltaic (PV) penetration. The proposed approach is capable of individual phase regulation, which coordinates the on-load tap [...] Read more.
This study aimed to propose individual phase voltage regulation strategies using the sparrow search algorithm (SSA) in the IEEE 8500-node large-scale unbalanced distribution network with high photovoltaic (PV) penetration. The proposed approach is capable of individual phase regulation, which coordinates the on-load tap changer (OLTC), voltage regulator (VR), switched capacitor bank (SCB), and volt–var setting controlled by a smart inverter to improve voltage variation and unbalance. Consequently, the change time of VRs, the switched times of SCBs, and the individual phase voltage magnitude and unbalance ratio are considered in the fitness function for the SSA. The simulation scenarios fully consider the unbalanced load conditions and PV power output patterns, and the numerical results demonstrate that the voltage variation and unbalance are clearly improved, by 15% and 26%, respectively. The fitness values, operation times of OLTC, VR, and SCB, and the settings of the volt–var controlled smart inverter are also optimized by the SSA. The outcomes of this study are helpful for distribution system operators in formulating voltage control strategies corresponding to different system conditions. Full article
(This article belongs to the Special Issue Frontiers in Smart Grids: Systems and Devices)
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13 pages, 2194 KiB  
Article
Optimal Sizing of PV/Wind/Battery Hybrid Microgrids Considering Lifetime of Battery Banks
by Ning Zhang, Nien-Che Yang and Jian-Hong Liu
Energies 2021, 14(20), 6655; https://doi.org/10.3390/en14206655 - 14 Oct 2021
Cited by 13 | Viewed by 2181
Abstract
Power system scheduling of renewable energy sources has been studied extensively due to the severe increase in pollution caused by conventional energy sources. In this study, a multi-objective scheduling model of a hybrid microgrid is proposed to minimize the cost of hybrid microgrids [...] Read more.
Power system scheduling of renewable energy sources has been studied extensively due to the severe increase in pollution caused by conventional energy sources. In this study, a multi-objective scheduling model of a hybrid microgrid is proposed to minimize the cost of hybrid microgrids and maximize the power supply reliability. The main power generation units such as the wind turbines, photovoltaic (PV) cells, and battery banks are used in this hybrid microgrid. In this study, the optimal sizing of PV panels and battery banks are obtained using multi-objective particle swarm optimization (MOPSO) for the proposed multi-objective scheduling model. The lifetime of battery banks is considered in the energy storage system (ESS) model. Finally, the practicality of the scheduling model proposed in this study is verified by four examples. Full article
(This article belongs to the Special Issue Frontiers in Smart Grids: Systems and Devices)
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13 pages, 720 KiB  
Article
Optimal Time-of-Use Electricity Price for a Microgrid System Considering Profit of Power Company and Demand Users
by Ning Zhang, Nien-Che Yang and Jian-Hong Liu
Energies 2021, 14(19), 6333; https://doi.org/10.3390/en14196333 - 4 Oct 2021
Cited by 7 | Viewed by 1900
Abstract
With high proportions of renewable energy generation in power systems, the power system dispatch with renewable energy generation has currently become a popular research direction. In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic [...] Read more.
With high proportions of renewable energy generation in power systems, the power system dispatch with renewable energy generation has currently become a popular research direction. In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic (PV) generator, and an energy storage system to optimize the time-of-use (TOU) electricity price. The objective of the proposed multi-objective dispatch model is to maximize the profit of the power company and demand users, and minimize the proportion of users abandoning PV power and wind power. The elastic price of the load demand with a linear function is employed to optimize the TOU electricity price. Finally, we applied five test cases to validate the practicability of the multi-objective dispatch model. Full article
(This article belongs to the Special Issue Frontiers in Smart Grids: Systems and Devices)
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