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Renewable Energy Technologies and Microgrids

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 15238

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, University of Bonab, Bonab, Iran
Interests: renewable energy technologies; wind turbines; solar panels; fuel cell; energy storage systems; electric and hydrogen vehicles; energy management; energy integration; microgrids; uncertainty and risk management

Special Issue Information

Dear Colleagues,

Nowadays, the presence of renewable energy sources (RESs) has significantly increased in power systems around the globe. There is a wide range of motivations for this, such as the generation of clean energy, depletion of fossil fuel sources, and environmental issues that encourage the use of RESs in power systems. In addition to all these advantages, volatility is an example of drawbacks in the RESs that influence the function of the power system. As the most promising sources, wind and solar energy are often used among various type of RESs and play a crucially important role in the current power systems. The concept of microgrids (MGs) is developed with the ambition of accommodating RESs and reducing their disadvantages. In this regard, an MG is a combination of distributed energy resources and controllable loads that can be applied in the grid-connected mode as well as the islanded one. The MGs can interchange power with the upstream grid in the grid-connected mode, while isolated MGs can provide the required load in remote areas. Reduced power-generation costs, reduced CO2 emissions, and reduced power losses are only a few of the advantages of using MGs in power systems. The MGs can be categorized in a variety of ways. As previously stated, MGs are divided into two main categories: grid connected and islanded. The MGs are characterized as centralized or decentralized based on their control approach. Finally, MGs can be defined as residential, commercial, or industrial MGs based on their applications. Energy storage systems (ESSs) can be integrated in any form of MG structure to deal with the fluctuating and inconsistent output power of RESs. The ESSs store surplus energy generated by photovoltaic and wind turbine systems, which can be utilized when the system meets a shortage of RES power generation. It is worth mentioning that when the energy storage units are charging, they perform as a load, while in the discharging mode, they act as a generator. In addition to the uncertainties of the power generated by RESs, there are other uncertain parameters in power systems. The market power price is the most essential factor, as it has a significant impact on the total running costs of MGs in the grid-connected mode. The system's impacts on all of the aforementioned uncertainties should be thoroughly investigated, and various strategies should be implemented. Finally, the demand response programs have been widely used in MGs in order to deal with high operation costs. These programs, which are classified as time based, incentive based, and compulsory, significantly reduce the total operating costs by shifting power consumption from peak to off-peak hours.

The main issues of using MGs can be considered as follows:

  1. Planning and operation;
  2. Alternative renewable energy sources integration of MGs;
  3. Economic and environmental assessments;
  4. Grid-connected and islanding modes;
  5. Centralized or decentralized based on their control approach;
  6. Residential, commercial, or industrial MGs based on their applications;
  7. Integration of energy storage systems in MGs;
  8. Uncertainty modeling;
  9. Risk management;
  10. Demand side management;
  11. Other related works.

Dr. Sayyad Nojavan
Guest Editor

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Keywords

  • renewable energy technologies
  • wind turbines
  • solar panels
  • fuel cell
  • energy storage systems
  • electric and hydrogen vehicles
  • energy management
  • control technique
  • energy integration
  • microgrids

Published Papers (8 papers)

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Research

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24 pages, 2862 KiB  
Article
A Low-Carbon Optimal Operation Method for an Industrial Park Multi-Energy Coupling System Utilizing By-Product Hydrogen
by Yongjie Luo, Qinghao Meng, Yuan Chi, Qianggang Wang, Yongshou Zeng, Zaoming Deng and Yao Zou
Sustainability 2024, 16(6), 2354; https://doi.org/10.3390/su16062354 - 12 Mar 2024
Viewed by 485
Abstract
To enhance the utilization efficiency of by-product hydrogen and decrease the power supply expenses of industrial parks, local utilization of by-product hydrogen plays a crucial role. However, the methods of utilizing by-product hydrogen in industrial parks are relatively limited. In response to this [...] Read more.
To enhance the utilization efficiency of by-product hydrogen and decrease the power supply expenses of industrial parks, local utilization of by-product hydrogen plays a crucial role. However, the methods of utilizing by-product hydrogen in industrial parks are relatively limited. In response to this issue, an optimization method for a multi-energy system with by-product hydrogen considering the production process of chlor-alkali plants was proposed in this paper. Firstly, on the source side, models were established for hydrogen production using the ion exchange membrane electrolyzer and for the energy consumption during the caustic soda solution evaporation process. Secondly, on the load side, this paper explored the potential for local utilization of by-product hydrogen, including its participation in the production of downstream chemical products, combustion when mixed with natural gas, and utilization in hydrogen fuel cells. Next, this paper considered the influence of correlations among various loads within the factory and wind power generation, proposing a method for generating scenarios that takes into account the spatiotemporal correlation of source-load variables. Then, aiming to minimize the system operation cost and carbon trading cost, an operation strategy for a multi-energy system in a low-carbon industrial park, considering local utilization of by-product hydrogen, was proposed. Finally, the effectiveness of the scenario generation method proposed in this paper, considering spatiotemporal correlation, and the economic and environmental benefits of the proposed operation model utilizing the by-product hydrogen are verified through arithmetic simulation, based on the operation data of a chlor-alkali chemical park. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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16 pages, 1713 KiB  
Article
Information Gap Decision Theory-Based Risk-Averse Scheduling of a Combined Heat and Power Hybrid Energy System
by Lumin Shi, Man-Wen Tian, As’ad Alizadeh, Ardashir Mohammadzadeh and Sayyad Nojavan
Sustainability 2023, 15(6), 4825; https://doi.org/10.3390/su15064825 - 08 Mar 2023
Viewed by 1266
Abstract
This research investigates the optimal management of electric and heat energies in a hybrid energy system (HES). In the studied HES, a pair of photovoltaic and battery storage devices is used to supply the electricity demand, and a boiler system to supply the [...] Read more.
This research investigates the optimal management of electric and heat energies in a hybrid energy system (HES). In the studied HES, a pair of photovoltaic and battery storage devices is used to supply the electricity demand, and a boiler system to supply the heat demand directly. In addition, a modified cycle power plant acted as a combined heat and power (CHP) unit to increase the generation capacity and supply reliability. The HES is also able to connect to the electric grid to exchange power according to real-time energy prices. The uncertainty of renewable generation, demand levels, and energy prices challenge the decision-making process. To deal with the uncertainty of these overlapping parameters, a comprehensive information-gap decision theory (IGDT) approach is proposed in this paper that, despite other works, considers the uncertainties in an integrated framework and derives risk-averse and risk seeker strategies in different steps. The problem is modeled as mixed-integer linear programming and solved using the GAMS optimization package. Concerning simulation results, from the viewpoint of a risk-seeking decision maker, the increment of the uncertainty degree by 10.906% results in a reduced operating cost of 8.6%. From the viewpoint of a risk-averse decision maker, the increment of the uncertainty degree by 10.208% results in 8.6% more operating cost. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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18 pages, 6329 KiB  
Article
Quaternized Polyethersulfone (QPES) Membrane with Imidazole Functionalized Graphene Oxide (ImGO) for Alkaline Anion Exchange Fuel Cell Application
by Moshito Lethabo Mothupi and Phumlani Fortune Msomi
Sustainability 2023, 15(3), 2209; https://doi.org/10.3390/su15032209 - 25 Jan 2023
Cited by 2 | Viewed by 1491
Abstract
Membranes made up of composite materials have shown promising advantages for application in alkaline fuel cell anion exchange membranes. In this study, a general method is employed to improve the overall performance and properties of alkaline anion exchange membranes by making use of [...] Read more.
Membranes made up of composite materials have shown promising advantages for application in alkaline fuel cell anion exchange membranes. In this study, a general method is employed to improve the overall performance and properties of alkaline anion exchange membranes by making use of polyethersulfone quaternized with imidazolium groups and blended with imidazolium functionalized graphene oxide inorganic filler (ImGO). The inorganic filler blended with the polymer matrix yielded better ionic transport, with 73.2 mS·cm−1 being the highest ion conductivity for the polymer membrane with 0.5% ImGO content, which is higher than that of the QPES parent material. The 0.5% ImGO content also showed better swelling ratio, water uptake, alkaline stability, ion exchange capacity and alkaline stability in comparison to other membranes. Furthermore, it also exhibited 130 mW·cm−2 peak power. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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9 pages, 2096 KiB  
Article
Effects of Humidification with NaCl Solution Mist on Electrochemical Characteristics of Polymer Electrolyte Membrane Fuel Cells
by Ho Jun Yoo and Gu Young Cho
Sustainability 2022, 14(23), 16242; https://doi.org/10.3390/su142316242 - 05 Dec 2022
Cited by 2 | Viewed by 1175
Abstract
This study examined the effects of mist generated from NaCl solution on the electrochemical properties of polymer electrolyte membrane fuel cells. Mist-containing Na+ and Cl- ions were generated using a custom-made mist generator. The current density-voltage-power density curves and electrochemical impedance spectroscopy of [...] Read more.
This study examined the effects of mist generated from NaCl solution on the electrochemical properties of polymer electrolyte membrane fuel cells. Mist-containing Na+ and Cl- ions were generated using a custom-made mist generator. The current density-voltage-power density curves and electrochemical impedance spectroscopy of fuel cells were systematically achieved. Furthermore, long-term stability experiments were carried out using chronoamperometry mode for 20 h with deionized water and NaCl solution. After the chronoamperometry measurement, the regeneration of fuel cells was performed with deionized water. The effects of regeneration methods on the performance of the fuel cell were evaluated. Due to the internally produced H2O, constant voltage regeneration was more effective than open circuit voltage regeneration. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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14 pages, 3295 KiB  
Article
A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems
by Saeed Danyali, Omid Aghaei, Mohammadamin Shirkhani, Rahmat Aazami, Jafar Tavoosi, Ardashir Mohammadzadeh and Amir Mosavi
Sustainability 2022, 14(18), 11731; https://doi.org/10.3390/su141811731 - 19 Sep 2022
Cited by 19 | Viewed by 1796
Abstract
This study designed a system consisting of a photovoltaic system and a DC-DC boost converter with buck-boost inverter. A multi-error method, based on model predictive control (MPC), is presented for control of the buck-boost inverter. Incremental conductivity and predictive control methods have also [...] Read more.
This study designed a system consisting of a photovoltaic system and a DC-DC boost converter with buck-boost inverter. A multi-error method, based on model predictive control (MPC), is presented for control of the buck-boost inverter. Incremental conductivity and predictive control methods have also been used to track the maximum power of the photovoltaic system. Due to the fact that inverters are in the category of systems with fast dynamics, in this method, by first determining the system state space and its discrete time model, a switching algorithm is proposed to reduce the larger error for the converter. By using this control method, in addition to reducing the total harmonic distortion (THD), the inverter voltage reaches the set reference value at a high speed. To evaluate the performance of the proposed method, the dynamic performance of the converter at the reference voltage given to the system was investigated. The results of system performance in SIMULINK environment were simulated and analyzed by MATLAB software. According to the simulation results, we can point out the advantage of this system in following the reference signal with high speed and accuracy. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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15 pages, 4245 KiB  
Article
Control Strategy for Offshore Wind Farms with DC Collection System Based on Series-Connected Diode Rectifier
by Lijun Xie, Fan Cheng and Jing Wu
Sustainability 2022, 14(13), 7860; https://doi.org/10.3390/su14137860 - 28 Jun 2022
Cited by 2 | Viewed by 1424
Abstract
The DR-HVDC (Diode rectifier-based HVDC) transmission topology was recently proposed for integration on large offshore wind farms due to its low investment cost and high reliability. To further reduce the investment, a DC collection topology based on the series-connected diode rectifiers (DR) is [...] Read more.
The DR-HVDC (Diode rectifier-based HVDC) transmission topology was recently proposed for integration on large offshore wind farms due to its low investment cost and high reliability. To further reduce the investment, a DC collection topology based on the series-connected diode rectifiers (DR) is proposed, where no offshore platform is needed. However, units of series-connected topology (SCU) show coupling issues, such as overvoltage, energy curtailment, and fault isolation. First, the coupling mechanism is analyzed, and a suitable operation mode for SCUs is selected to ensure the safe operation of the DC system. Then, the linear relationship of active power and output DC current and DC voltage of SCUs is analyzed, and a novel coordinate control strategy for DC wind farms is proposed, where an onshore converter adapts a DC current controller and wind turbines adapt a mediate output voltage control strategy. The mediate output voltage control strategy includes a triple loop with power loop, mediate output voltage loop, and current loop. Also, the DC open line fault, DC grounding fault, and AC grounding fault of the onshore grid are investigated, and a protection strategy is proposed. A 160 MW wind farm with a DR-SCU DC collection system is built in PSCAD/EMTDC to verify the validity of the proposed control strategy under unequal wind speeds, DC fault, and onshore AC fault, and the results validate the performance of the proposed strategy. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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14 pages, 5770 KiB  
Article
Optimal Control of an Energy-Storage System in a Microgrid for Reducing Wind-Power Fluctuations
by Rahmat Aazami, Omid Heydari, Jafar Tavoosi, Mohammadamin Shirkhani, Ardashir Mohammadzadeh and Amir Mosavi
Sustainability 2022, 14(10), 6183; https://doi.org/10.3390/su14106183 - 19 May 2022
Cited by 37 | Viewed by 2667
Abstract
In conventional low-voltage grids, energy-storage devices are mainly driven by final consumers to correct peak consumption or to protect against sources of short-term breaks. With the advent of microgrids and the development of energy-storage systems, the use of this equipment has steadily increased. [...] Read more.
In conventional low-voltage grids, energy-storage devices are mainly driven by final consumers to correct peak consumption or to protect against sources of short-term breaks. With the advent of microgrids and the development of energy-storage systems, the use of this equipment has steadily increased. Distributed generations (DGs), including wind-power plants as a renewable energy source, produces vacillator power due to the nature of variable wind. Microgrids have output power fluctuations, which can cause devastating effects such as frequency fluctuations. Storage can be used to fix this problem. In this paper, a grid-connected wind turbine and a photovoltaic system are investigated considering the atmospheric conditions and wind-speed variations, and a control method is proposed. The main purpose of this paper is to optimize the capacity of energy-storage devices to eliminate power fluctuations in the microgrid. Finally, the conclusion shows that, in microgrids with supercapacitors, the optimal capacity of microgrid supercapacitors is determined. This method of control, utilizing the combined energy-storage system of the battery supercapacitor, in addition to reducing the active power volatility of the wind turbine and photovoltaic generation systems, also considers the level of battery protection and reduction in reactive-power fluctuations. In the proposed control system, the DC link in the energy-storage systems is separate from most of the work conducted, which can increase the reliability of the whole system. The simulations of the studied system are performed in a MATLAB software environment. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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Review

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23 pages, 7092 KiB  
Review
An Overview of the Architecture of Home Energy Management System as Microgrids, Automation Systems, Communication Protocols, Security, and Cyber Challenges
by Kamran Taghizad-Tavana, Mohsen Ghanbari-Ghalehjoughi, Nazila Razzaghi-Asl, Sayyad Nojavan and As’ad Alizadeh
Sustainability 2022, 14(23), 15938; https://doi.org/10.3390/su142315938 - 29 Nov 2022
Cited by 11 | Viewed by 3778
Abstract
Today, the role of smart machines in our lives is valuable. With the advancement of digital technologies, such as the internet of things (IoT), many embedded systems have been developed for various applications. In homes, all daily activities and even security depend on [...] Read more.
Today, the role of smart machines in our lives is valuable. With the advancement of digital technologies, such as the internet of things (IoT), many embedded systems have been developed for various applications. In homes, all daily activities and even security depend on machines. Therefore, implementing IoT-based smart homes has become a prominent research field. Also, since we are in the era of endless growth of the IoT and its applications, the topic of home automation systems is becoming more popular due to its countless advantages. In general, most home automation systems focus on one function: the ability to control home appliances remotely. In the world of information technology, the creation of rules and standards should always be done in the early stages of development because, after the work is done, incompatibilities between devices are created, which is a severe challenge and limits the use of technology. Therefore, the research on IoT technology has led to the formation of various protocols; this article gives an overview of seven essential protocols. Also, in this review article, energy consumption management, and privacy and security issues are discussed, and smart homes are introduced as critical requirements for the evolution of smart cities. Full article
(This article belongs to the Special Issue Renewable Energy Technologies and Microgrids)
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