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E-engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022)

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 5975

Special Issue Editors

Prof. Dr. Kyeon Hur

E-Mail Website
Guest Editor
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea
Interests: modular multilevel converter (MMC) for HVDC, FACTS modeling and control; synchrophasor applications: monitoring, analysis, and control towards smart TS; power system dynamic performance modeling; hybrid energy storage systems for integrating variable generation and controllable loads; power quality solutions
Special Issues, Collections and Topics in MDPI journals
Dr. Jae Woong Shim Shim

E-Mail Website
Guest Editor
Department of Electrical Engineering, Sangmyung University, Seoul 03016, Korea
Interests: power system dynamics and control; HVDC/MTDC/FACTS/ESS operation; integration of renewable energy sources; interfacing of power electronics devices onto power systems
Dr. Minhan Yoon

E-Mail Website
Guest Editor
Department of Electrical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
Interests: power system analysis, planning, operation, and control including HVDC, FACTS, and IBRs; impact assessment, adaptive control of variable energy resources based on artificial intelligence technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue in Energies will collect the selected papers presented at the International Council on Electrical Engineering Conference 2022 (ICEE 2022), which was held on 28 June–2 July 2022 in Seoul, South Korea.

The aim of ICEE 2022 is to provide a variety of programs including distinguished presentations, networking events, and cultural tours to benefit from many fruitful and enriching discussions as well as to initiate collaborations across disciplines for the advancement of your research.

The selected papers in ICEE 2022 will be considered for submission with a substantially improved version to this Special Issue “E-Engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022)”. The topics of interest include but are not limited to the following:            

  1. Future Power Grid Planning and Operations
  2. Power Electronics for Clean and Flexible Grid
  3. Energy Resources, Generation, and Management
  4. Electrophysics and Applications
  5. Enabling Technologies for the Smart Grid and City
  6. Electrification of Transportation and Mobility

Prof. Dr. Kyeon Hur
Dr. Jae Woong Shim Shim
Dr. Minhan Yoon
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

  • future power grid planning and operations
  • emerging technologies for low inertia power grid
  • AC–DC hybrid grid operation, control, and protection
  • microgrid and active distribution network
  • grid reliability and resilience
  • grid integration of renewable energy resources
  • power system dynamics and stability
  • power system protection and automation
  • power quality monitoring and analysis
  • energy market and policy
  • advances in power grid modeling, analysis, and control
  • power electronics for clean and flexible grid HVDC, MVDC, and LVDC: design, control, and protection
  • smart grids, microgrid, and utility applications
  • advanced switching devices and converter topologies
  • electric machinery and drives
  • electric vehicles
  • energy resources, generation, and management
  • renewable energy resources
  • energy system integration
  • advanced energy storage: grid and electric vehicle applications
  • smart energy management for home, building, and factory
  • management and control of distributed energy resources
  • advanced clean generation technology
  • electrophysics and applications
  • high-voltage power apparatus and engineering
  • smart materials and devices
  • electromagnetics and optics
  • condition monitoring techniques
  • fundamentals of electrical engineering
  • enabling technologies for the smart grid and city
  • AI, machine learning, IoT, and big data analytics
  • sensors, communications, controls, and information processing
  • cyberphysical systems, digital twin technologies
  • smart asset management
  • foundational support systems
  • electrification of transportation and mobility
  • battery packaging
  • battery management system
  • traction power system
  • charging system
  • vehicle-to-grid application
  • fleet management

Published Papers (4 papers)

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Research

12 pages, 2212 KiB  
Article
A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms
by Soyoung Park, Solyoung Jung, Jaegul Lee and Jin Hur
Energies 2023, 16(3), 1132; https://doi.org/10.3390/en16031132 - 19 Jan 2023
Cited by 12 | Viewed by 1463
Abstract
With growing interest in sustainability and net-zero emissions, there has been a global trend to integrate wind power into energy grids. However, challenges such as the intermittency of wind energy remain, which leads to a significant need for accurate wind-power forecasting. Therefore, this [...] Read more.
With growing interest in sustainability and net-zero emissions, there has been a global trend to integrate wind power into energy grids. However, challenges such as the intermittency of wind energy remain, which leads to a significant need for accurate wind-power forecasting. Therefore, this study focuses on creating a wind-power generation-forecasting model using a machine-learning algorithm. In this study, we used the gradient-boosting machine (GBM) algorithm to build a wind-power forecasting model. Time-series data with a 15 min interval from Jeju’s wind farms were applied to the model as input data. The short-term forecasting model trained by the same month with the test set turns out to have the best performance, with an NMAE value of 5.15%. Furthermore, the forecasting results were applied to Jeju’s power system to carry out a grid-security analysis. The improved accuracy of wind-power forecasting and its impact on the security of electrical grids in this study potentially contributes to greater integration of wind energy. Full article
(This article belongs to the Special Issue E-engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022))
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14 pages, 4157 KiB  
Article
Independent Power Producer Approach to Optimal Design and Operation of IES with Wind Power Plants
by Yeong-Geon Son, Eun-Tae Son, Moses-Amoasi Acquah, Sung-Hoon Choo, Hyun-Sik Jo, Ji-Eun Lee, Dong-Min Kim and Sung-Yul Kim
Energies 2023, 16(1), 28; https://doi.org/10.3390/en16010028 - 20 Dec 2022
Cited by 5 | Viewed by 1402
Abstract
In South Korea, Renewable Energy Sources (RES) have been increasing with the application of energy policies, such as Feed in Tariff (FIT) and the Renewable Portfolio Standard (RPS). However, a rapid increase in RES supply leads to an uncertain power supply due to [...] Read more.
In South Korea, Renewable Energy Sources (RES) have been increasing with the application of energy policies, such as Feed in Tariff (FIT) and the Renewable Portfolio Standard (RPS). However, a rapid increase in RES supply leads to an uncertain power supply due to the intermittent output of RES. A representative example is the curtailment of Wind Turbines (WT), which frequently occurs in Jeju Island, South Korea. The proportion of RES power on Jeju Island is 67%, and there are cases where WT is curtailed among the operable sections to maintain the balance of power supply and demand. This paper applies Power-to-Gas (P2G) technology to hydrogenate, store, and utilize unused power to solve this problem. In this paper, Aewol-eup in Jeju Island is selected as a target site for case study. An Integrated Energy System (IES) for various energy operations is designed to control RES output. This paper proposes the optimal facility configuration and finally drives the optimal design and operation solution of IES by analyzing the objective functions and focusing on the Independent Power Producer (IPP) perspective. Full article
(This article belongs to the Special Issue E-engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022))
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13 pages, 1991 KiB  
Article
Frequency Regulation of an Islanded Microgrid Using Hydrogen Energy Storage Systems: A Data-Driven Control Approach
by Gi-Ho Lee and Young-Jin Kim
Energies 2022, 15(23), 8887; https://doi.org/10.3390/en15238887 - 24 Nov 2022
Cited by 2 | Viewed by 1446
Abstract
Hydrogen energy storage (HES) systems have recently received attention due to their potential to support real-time power balancing in a power grid. This paper proposes a data-driven model predictive control (MPC) strategy for HES systems in coordination with distributed generators (DGs) in an [...] Read more.
Hydrogen energy storage (HES) systems have recently received attention due to their potential to support real-time power balancing in a power grid. This paper proposes a data-driven model predictive control (MPC) strategy for HES systems in coordination with distributed generators (DGs) in an islanded microgrid (MG). In the proposed strategy, a data-driven model of the HES system is developed to reflect interactive operations of an electrolyzer, hydrogen tank, and fuel cell, and hence the optimal power sharing with DGs is achieved to support real-time grid frequency regulation (FR). The MG-level controller cooperates with a device-level controller of the HES system that overrides the FR support based on the level of hydrogen. Small-signal analysis is used to evaluate the contribution of FR support. Simulation case studies are also carried out to verify the accuracy of the data-driven model and the proposed strategy is effective for improving the real-time MG frequency regulation compared with the conventional PI-based strategy. Full article
(This article belongs to the Special Issue E-engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022))
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16 pages, 10560 KiB  
Article
Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems
by J. Prasanth Ram, Dhanup S. Pillai, Ye-Eun Jang and Young-Jin Kim
Energies 2022, 15(23), 8860; https://doi.org/10.3390/en15238860 - 23 Nov 2022
Cited by 2 | Viewed by 947
Abstract
PV systems are a popular energy resource, prevalent worldwide; however, shade faults manifested in PV systems limit its power conversion efficiency. The occurrence of multiple power peaks and their location are highly uncertain in PV systems; this necessitates the use of complex maximum [...] Read more.
PV systems are a popular energy resource, prevalent worldwide; however, shade faults manifested in PV systems limit its power conversion efficiency. The occurrence of multiple power peaks and their location are highly uncertain in PV systems; this necessitates the use of complex maximum power point tracking algorithms to introduce high voltage oscillations. To address this issue, a new reconfigurable PV array to produce a global maximum power point (GMPP) algorithm close to the Voc regions was introduced. This enables the use of a simple Perturb and Observe (P&O) algorithm to easily track GMPP. For reconfiguration, a simple 5 × 5 PV array is considered, and a new physical relocation procedure based on the position square method is proposed. Performance of the proposed reconfiguration model is tested for four various shade events and its row current evaluations are comprehensively analyzed. Furthermore, evaluations of fill factor, mismatch loss, and power loss are quantitatively compared against Dominance Square and TCT schemes. Since the power enhancement is ensured in a reconfigurable PV array, the fixed reconfiguration is tailored to suit residential PV and microgrid systems. For MPP evaluations, hardware demonstrations are performed with a lab scale prototype model developed with a PV simulator and a DC–DC power electronic interface. The I–V characteristics of conventional and reconfigured models are programmed into the simulator and the use of the hill climbing algorithm is validated. To analyze the voltage and power oscillations with MPP tracking, the PSO algorithm is also tested for two test patterns and its results are comprehensively studied. Full article
(This article belongs to the Special Issue E-engineering a Resilient and Net Zero — Selected Papers from the International Council on Electrical Engineering Conference 2022 (ICEE 2022))
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