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Energies
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Renewable Hybrid Microgrids
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Renewable Hybrid 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 (20 April 2023) | Viewed by 7557

Special Issue Editors

Prof. Dr. Chun-Lien Su

E-Mail Website
Guest Editor
Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807, Taiwan
Interests: microgrids
Special Issues, Collections and Topics in MDPI journals
Dr. Tung-Sheng Zhan

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Interests: power system analysis and planning; power syetm optimization; microgrid and renewable energy
Dr. Kuo-Yuan Lo

E-Mail Website
Guest Editor
Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80778, Taiwan
Interests: power electronics; microgrid; grid-connected inverter; renewable energy

Special Issue Information

Dear Colleagues,

The movement to decarbonize the grid marks the largest shift in global energy philosophy to date. The long-held views of the electricity system have been challenged, revealing flaws in the current technology. A hybrid electricity solution, backed by microgrids, can bridge the gap between the ultimate net-zero goals and the current shortcomings. Microgrids, i.e., locally controlled energy systems that can operate grid-connected or as electrical islands, such as remote power systems, can manage themselves without being connected to the grid. They can help deploy more zero-emission energy sources, make use of waste heat, reduce energy lost, help power supply and demand, and improve grid resilience to extreme weather. Renewable hybrid microgrid systems founded on solar, wind, biomass, or hydraulic energy, however, encounter challenges related to intermittency and the variability of renewable sources. The integration significantly increases the coupling and interactions between sources and between supply and end-use at various scales in multinational, national, community, intra-building, and intra-process. Energy storage and charge management, as well as flexible demand, are among the technology solutions used to increase the penetration of renewable energy and improve performance and the business case.

This Special Issue focuses on recent advances in the policy, design, optimization, operation, and test cases of renewable hybrid microgrids. Topics of interest include, but are not limited to, the following:

  • Example renewable hybrid microgrids, community renewable energy systems, or related entities and best practices;
  • Sustainable design, planning, and operation;
  • Strategies for control and protection;
  • Technologies, strategies, and policies for decarbonization;
  • Heterogeneous energy quality, e.g., multiple energy carriers, DC and hybrid microgrids, etc.;
  • Power quality, reliability, and resilience;
  • Energy infrastructure reliability and resilience;
  • Modelling, simulation, and analysis;
  • Optimization techniques for renewable hybrid microgrids;
  • Novel renewable technologies for microgrid applications;
  • Power electronics for renewable hybrid microgrids;
  • Energy storage for renewable hybrid microgrids;
  • Energy management and integration;
  • Distributed renewable energy harvesting, storage, and use;
  • Demand response and behavioral analysis;
  • Information and communication networks;
  • Data analytics, cyber-physical systems, and artificial intelligence;
  • Environmental analysis and impact mitigation;
  • Economic analysis, business models, and market designs;
  • Social structures and sustainability psychology
  • Business models and market designs;
  • Policy and regulation.

Prof. Dr. Chun-Lien Su
Dr. Tung-Sheng Zhan
Dr. Kuo-Yuan Lo
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

  • business models
  • carbon-neutral microgrids
  • energy storage
  • energy integration
  • grid decarbonization
  • grid resilience
  • hybrid microgrids
  • ICT
  • power electronics
  • power quality
  • renewable microgrids
  • sustainable operation

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Published Papers (3 papers)

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Research

23 pages, 6235 KiB  
Article
Feasibility Study of the Grid-Connected Hybrid Energy System for Supplying Electricity to Support the Health and Education Sector in the Metropolitan Area
by Md. Rasel Ahmed, Md. Rokib Hasan, Suharto Al Hasan, Muhammad Aziz and Md. Emdadul Hoque
Energies 2023, 16(4), 1571; https://doi.org/10.3390/en16041571 - 4 Feb 2023
Cited by 7 | Viewed by 3003
Abstract
One of the biggest issues impeding a country’s progress is the lack of power. To overcome this issue, hybrid renewable energy systems (HRES) play an important role. Due to rising consumption and diminishing resources globally, sustainability has recently attracted more attention. Bangladesh has [...] Read more.
One of the biggest issues impeding a country’s progress is the lack of power. To overcome this issue, hybrid renewable energy systems (HRES) play an important role. Due to rising consumption and diminishing resources globally, sustainability has recently attracted more attention. Bangladesh has access to renewable energy sources, including solar, micro-hydro, biomass, wind, and others. The objective of this research is to minimize the net present cost (NPC), cost of energy (COE), and CO2 emissions of the suggested electricity network using the Hybrid Optimization Model for Multiple Energy Resources (HOMER) Pro Software. This investigation explores the possible use of a hybridized energy system (i.e., solar, wind, and diesel) with battery storage in Bangladesh’s northern area. Utilizing HOMER Pro software, an optimal grid-connected system is chosen after evaluating the techno-economic viability of several configuration options. For the Rangpur metropolitan region, seven distinct grid-connected solutions with stationary renewable sources are simulated. The HRES is designed to meet demands for hospital, diagnostic, school, and operation theatre loads of 3250.00 kWh, 250.00 kW maximum requirement, and 570.00 kWh, 71.25 kW maximum electricity demand, respectively. Multivariate linear regression (MLR) is used to assess the suggested optimal combination in terms of system size, cost, technical performance, and environmental stability. The findings show that the metric real-time rate (annual) has emerged as the most advantageous option since economic criteria like total NPC and COE are preferred above others. Full article
(This article belongs to the Special Issue Renewable Hybrid Microgrids)
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18 pages, 8303 KiB  
Article
Multi-Mode Control of a Bidirectional Converter for Battery Energy Storage System
by Kuo-Yuan Lo, Kuo-Hsiang Liu, Li-Xin Chen, Ching-Yu Chen, Chang-Heng Shih and Jyun-Ting Lin
Energies 2022, 15(21), 8114; https://doi.org/10.3390/en15218114 - 31 Oct 2022
Cited by 1 | Viewed by 1838
Abstract
In this paper, a bidirectional converter with multi-mode control strategies is proposed for a battery energy storage system (BESS). This proposed converter, which is composed of a half-bridge-type dual-active-bridge (HBDAB) converter and an H-bridge inverter, is able to operate the BESS with different [...] Read more.
In this paper, a bidirectional converter with multi-mode control strategies is proposed for a battery energy storage system (BESS). This proposed converter, which is composed of a half-bridge-type dual-active-bridge (HBDAB) converter and an H-bridge inverter, is able to operate the BESS with different power conditions and achieve the DC–AC function for lower input DC voltage applications. For the HBDAB converter, the variable-frequency control (VFC) and phase-shift control (PSC) are both adopted to achieve zero-voltage switching over a wider power range and the battery module balance control capability for BESS, respectively. In addition, the interleaved configuration is used to reduce the current ripple and increase the overall current rating. For the H-bridge inverter, the unipolar control mode (UCM) and totem-pole control mode (TPCM) are adopted to manage the real and reactive current control under different AC grid conditions. The UCM offers a reduction in current ripple for real and reactive power control. The TPCM is able to eliminate switching losses and achieve higher conversion efficiency for pure real power control. Considering applications for battery energy storage systems, the principle of operation and voltage gain analysis are described. Finally, computer simulations and hardware experimental results from a prototype system are presented to verify the performance of the proposed converter with the different control strategies. Full article
(This article belongs to the Special Issue Renewable Hybrid Microgrids)
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22 pages, 9045 KiB  
Article
Optimal Sizing and Location of Photovoltaic Generation and Energy Storage Systems in an Unbalanced Distribution System
by Ming-Yuan Chiang, Shyh-Chour Huang, Te-Ching Hsiao, Tung-Sheng Zhan and Ju-Chen Hou
Energies 2022, 15(18), 6682; https://doi.org/10.3390/en15186682 - 13 Sep 2022
Cited by 11 | Viewed by 1698
Abstract
There has been an increasing number of renewable energy sources introduced into the distribution system to decrease the dependence on single power sources and relieve their effects related to global warming caused by power consumption. When greatly increasing renewable energy in the power [...] Read more.
There has been an increasing number of renewable energy sources introduced into the distribution system to decrease the dependence on single power sources and relieve their effects related to global warming caused by power consumption. When greatly increasing renewable energy in the power system, the renewable energy connected to the power grid must be coupled with corresponding energy-storage technologies. This mechanism not only effectively improves the power floating problem but also more efficiently re-dispatches the power output. The purpose of this paper is to deal with the optimal sizing and location issue of the photovoltaic generation system and the battery energy storage system, which are proposed in order to improve the power loss, bus voltage profile, and voltage unbalance for the actual unbalanced loading distribution system of a large-scale chemical factory. The power loss, construction cost of the solar power and the energy storage systems, voltage variation ratio and voltage unbalance ratio will be treated as part of the objective function of the optimal problem. These variables are subject to various operating constraints and the voltage variation limit of the system when the photovoltaic generation and battery energy storage systems are operated. Furthermore, a refined genetic algorithm, which possesses an auto-selective crossover and mutation scheme, is proposed and applied in this paper in order to solve the optimization problem. Moreover, the simulation results are expected to demonstrate the superiority of the proposed algorithm. Full article
(This article belongs to the Special Issue Renewable Hybrid Microgrids)
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