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Next-Generation Power and Energy Systems
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Next-Generation Power and Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 9371

Special Issue Editor

Prof. Dr. Seon-Ju Ahn

E-Mail Website
Guest Editor
Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
Interests: distribution system; distributed energy resources; microgrid; smart grid; real-time simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to a Special Issue of the journal Energies on the topic of “Next-Generation Power and Energy Systems”.

The world is experiencing a profound energy transition accelerated by decarbonization, digitalization, and decentralization. Future power and energy systems will require new features to satisfy the needs of grid operators and consumers, aiming at increasing the reliability and resilience of the power grid considering the increasing integration of emergent technologies, such as distributed generation (DG), electric vehicles, and energy storage systems. The active participation of consumers in future energy systems is proposed in order to increase energy efficiency and to provide flexibility through demand side management. In a new energy market environment, the role of new participants such as aggregators becomes essential to provide flexibility to future power systems by managing renewable energy and its consumption. Furthermore, as large amounts of data are generated in different segments of the energy sector, it is necessary to extract valuable information from these data for efficient and sustainable utilization of electrical energy. The application of AI and machine learning can transform these massive data into valuable information to improve the planning, operation, and control of future power systems.

This Special Issue aims to bring together articles that provide novel insights, theories, and solutions for next-generation power and energy systems. The subject areas may range from methods for the analysis and control of future power systems, to the design of new energy markets and business models, to policies and regulations driving the energy transition.

Prof. Dr. Seon-Ju Ahn
Guest Editor

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

  • Energy transition
  • Distributed energy resources (DER)
  • Renewable energy
  • Energy storage system
  • Local energy transaction
  • Flexibility
  • Design and optimization of energy market
  • Energy policy
  • Energy big data
  • AI application in power and energy systems

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Published Papers (3 papers)

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Research

21 pages, 23148 KiB  
Article
Energy Efficiency and Distributed Generation: A Case Study Applied in Public Institutions of Higher Education
by Adriano Faria, Bernardo Alvarenga, Gerley Lemos, Ghunter Viajante, José Luis Domingos and Enes Marra
Energies 2022, 15(3), 1217; https://doi.org/10.3390/en15031217 - 7 Feb 2022
Cited by 3 | Viewed by 2474
Abstract
This study focused on developing a sustainability project carried out in 11 Federal Institute of Education, Science, and Technology of Goiás (IFG) campuses wherein energy efficiency and distributed generation actions were developed. Energy consumption was optimized by retrofitting the lighting system, installing a [...] Read more.
This study focused on developing a sustainability project carried out in 11 Federal Institute of Education, Science, and Technology of Goiás (IFG) campuses wherein energy efficiency and distributed generation actions were developed. Energy consumption was optimized by retrofitting the lighting system, installing a photovoltaic (PV) generation system, quantifying the building efficiency, energy monitoring, training, and qualification, and focusing on the efficient use of electric energy. We first present the Brazilian legislation that regulates the Research and Development Program in the electric energy sector. Then, we describe the case study that was applied to the educational institution. In the lighting system, 18,377 inefficient lamps were replaced by lamps with more efficient technology, with an energy saving of 867.9 MWh/year and a peak demand reduction of 309.6 kW. The proposed generation system aimed to install 3076 PV modules on the roofs of selected campus buildings, totaling 1 MWp of installed power with an average annual power generation of 1736.9 MWh/year. The total project investment was USD 1,348,768.50 and the overall cost–benefit ratio of the project was 0.68, which will result in annual savings of approximately USD 197,321.85. This corresponded to a 58% reduction in energy bills. The project proposed in this work was considered technically and economically viable within the scope of the Brazilian Energy Efficiency Program. Full article
(This article belongs to the Special Issue Next-Generation Power and Energy Systems)
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21 pages, 3458 KiB  
Article
Reverse Osmosis Desalination Plants Energy Consumption Management and Optimization for Improving Power Systems Voltage Stability with PV Generation Resources
by Zeyad A. Haidar, Mamdooh Al-Saud, Jamel Orfi and Hany Al-Ansary
Energies 2021, 14(22), 7739; https://doi.org/10.3390/en14227739 - 18 Nov 2021
Cited by 4 | Viewed by 2748
Abstract
This paper studies energy consumption management of seawater Reverse Osmosis (RO) desalination plants to maintain and enhance the Voltage Stability (VS) of Power Systems (PS) with Photovoltaic (PV) plant integration. We proposed a voltage-based management algorithm to determine the maximum power consumption for [...] Read more.
This paper studies energy consumption management of seawater Reverse Osmosis (RO) desalination plants to maintain and enhance the Voltage Stability (VS) of Power Systems (PS) with Photovoltaic (PV) plant integration. We proposed a voltage-based management algorithm to determine the maximum power consumption for RO plants. The algorithm uses power flow study to determine the RO plant power consumption allowed within the voltage-permissible limits, considering the RO process constraints in order to maintain the desired fresh water supply. Three cases were studied for the proposed RO plant: typical operation with constant power consumption, controlled operation using ON/OFF scheduling of the High-Pressure Pumps (HPPs) and controlled operation using Variable Frequency Drive (VFD) control. A modified IEEE 30-bus system with a variable load was used as a case study with integration of three PV plants of 75 MWp total power capacity. The adopted 33.33 MW RO plant has a maximum capacity of 200,000 m3/day of fresh water production. The results reveal that while typical operation of RO plants can lead to voltage violation, applying the proposed load management algorithm can maintain the vs. of the PS. The total transmission power loss and power lines loading were also reduced. However, the study shows that applying VFD control is better than using ON/OFF control because the latter involves frequent starting up/shutting down the RO trains, which consequently requires flushing and cleaning procedures. Moreover, the specific energy consumption (SEC) and RO plant recover ratio decreases proportionally to the VFD output. Furthermore, the power consumption of the RO plant was optimized using the PSO technique to avoid unnecessary restriction of RO plant operation and water shortage likelihood. Full article
(This article belongs to the Special Issue Next-Generation Power and Energy Systems)
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18 pages, 5852 KiB  
Article
Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series
by Chi Nguyen Van, Thuy Nguyen Vinh, Minh-Duc Ngo and Seon-Ju Ahn
Energies 2021, 14(10), 2875; https://doi.org/10.3390/en14102875 - 16 May 2021
Cited by 15 | Viewed by 3031
Abstract
The optimal state of charge (SoC) balancing control for series-connected lithium-ion battery cells is presented in this paper. A modified SoC balancing circuit for two adjacent cells, based on the principle of a bidirectional Cuk converter, is proposed. The optimal SoC balancing problem [...] Read more.
The optimal state of charge (SoC) balancing control for series-connected lithium-ion battery cells is presented in this paper. A modified SoC balancing circuit for two adjacent cells, based on the principle of a bidirectional Cuk converter, is proposed. The optimal SoC balancing problem is established to minimize the SoC differences of cells and the energy loss subject to constraints of the normal SoC operating range, the balancing current, and current of cells. This optimization problem is solved using the sequential quadratic programming algorithm to determine the optimal duties of PWM signals applied to the SoC balancing circuits. An algorithm for the selection of the initial points for the optimal problem-solving process is proposed. It is applied in cases where the cost function has no decreasing part. Experimental tests are conducted for seven series-connected Samsung cells. The optimal SoC balancing control and SoC estimation algorithms are coded in MATLAB and embedded in LabVIEW to control the SoC balancing in real time. The test results show that the differences between the SoCs of cells converges to the desired range using the proposed optimal SoC balancing control strategy. Full article
(This article belongs to the Special Issue Next-Generation Power and Energy Systems)
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