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Energies
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Advanced ESS Operation to Support Grid Stability and Reliability
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Advanced ESS Operation to Support Grid Stability and Reliability

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 (25 July 2022) | Viewed by 4535
Please submit your paper and select the Journal "Energies" and the Special Issue "Advanced ESS Operation to Support Grid Stability and Reliability" via: https://susy.mdpi.com/user/manuscripts/upload?journal=energies. Please contact the journal editor Adele Min ([email protected]) before submitting.

Special Issue Editors

Prof. Dr. Jaesung Jung

E-Mail Website
Guest Editor
Department of Energy Systems Research, Ajou University, Suwon 16499, Gyeonggi-do, Korea
Interests: distributed energy resource (DER) generations operation and control; energy storage system (ESS) operation and control; power system grid integration of renewable energy; microgrid design; smart grid; distribution system automation; renewable energy generation forecasting; state estimation; power system IT
Prof. Dr. Byung O Kang

E-Mail Website
Guest Editor
Department of Electrical Engineering, Dong-A University, Saha-gu, Busan 49315, Korea
Interests: design and operation of microgrid (MG); energy storage system (ESS) control; energy management system (EMS); forecasting of load and renewable energy generation; machine learning approaches to power system; demand response (DR) market; smart grid (SG) technologies

Special Issue Information

Dear Colleagues,

Energy storage systems (ESSs) are systems or devices that enable the storage and supply of electrical energy at the required time. Thus, ESSs can provide bidirectional flexibility (upward, downward) to the power system. By considering these advantages, in recent years, ESS has become increasingly important, not only for reducing peak customer demand, but also for enhancing grid stability and reliability. Although the ESS can perform various roles in the power system such as “Generation”, “Ancillary Service”, “Transmission and Distribution (T&D) Infrastructure Service”, “Renewable Integration”, and “Customer Energy Management Services”, there are few functions that are actually studied and used. However, ESSs can be utilized more to support grid stability and reliability by taking advantage of their fast response capability, such as voltage regulation, frequency regulation, phase balancing, ramp rate control, and contingency reserves. Therefore, it is necessary to study in more depth the utilization of ESSs to support grid stability and reliability. Furthermore, the high cost of ESSs is always a challenge when it comes to applying them to the real environment. Therefore, to overcome challenges and increase investment attractiveness, the economic aspect of ESS operation is also necessary to consider when ESSs are utilized to support grid stability and reliability. The main goal of this Special Issue is to pay special attention to advanced ESS operation to support grid stability and reliability.

The topics of interest include but are not limited to:

  • ESS operation for voltage regulation;
  • ESS operation for frequency regulation;
  • ESS operation for ramp-rate control service;
  • ESS operation for phase balancing;
  • ESS operation for contingency reserves;
  • Any other ESS operations to support grid stability and reliability;
  • Technoeconomic analysis of ESS operation to support grid stability and reliability.

Prof. Dr. Jaesung Jung
Prof. Dr. Byung O Kang
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.

Published Papers (2 papers)

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Research

17 pages, 4313 KiB  
Article
Real-Time Load Variability Control Using Energy Storage System for Demand-Side Management in South Korea
by Kyo Beom Han, Jaesung Jung and Byung O Kang
Energies 2021, 14(19), 6292; https://0-doi-org.brum.beds.ac.uk/10.3390/en14196292 - 02 Oct 2021
Cited by 5 | Viewed by 1811
Abstract
In today’s power systems, the widespread adoption of smart grid applications requires sophisticated control of load variability for effective demand-side management (DSM). Conventional Energy Storage System (ESS)-based DSM methods in South Korea are limited to real-time variability control owing to difficulties with model [...] Read more.
In today’s power systems, the widespread adoption of smart grid applications requires sophisticated control of load variability for effective demand-side management (DSM). Conventional Energy Storage System (ESS)-based DSM methods in South Korea are limited to real-time variability control owing to difficulties with model development using customers’ load profiles from sampling with higher temporal resolution. Herein, this study thus proposes a method of controlling the variability of customers’ load profiles for real-time DSM using customer-installed ESSs. To optimize the reserved capacity for the proposed maximum demand control within ESSs, this study also proposes a hybrid method of load generation, which synthesizes approaches based on Markov Transition Matrix (MTM) and Artificial Neuron Network (ANN) to estimate load variations every 15 min and, in turn reserve capacity in ESSs. The proposed ESS-based DSM strategy primarily reserves capacity in ESSs based on estimated variation in load, and performs real-time maximum demand control with the reserved capacity during scheduled peak shaving operations. To validate the proposed methods, this study used load profiles accumulated from industrial and general (i.e., commercial) customers under the time-of-use (TOU) rate. Simulation verified the improved performance of the proposed ESS-based DSM method for all customers, and results of Kolmogorov-Smirnov (K–S) testing indicate advances in the proposed hybrid estimation beyond the stand-alone estimation using the MTM- or ANN-based approach. Full article
(This article belongs to the Special Issue Advanced ESS Operation to Support Grid Stability and Reliability)
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18 pages, 3284 KiB  
Article
Congestion Management by Allocating Network Use Cost for the Small-Scale DER Aggregator Market in South Korea
by Nadya Noorfatima, Yejin Yang, Jaesung Jung and Jun-Sung Kim
Energies 2021, 14(12), 3524; https://0-doi-org.brum.beds.ac.uk/10.3390/en14123524 - 13 Jun 2021
Cited by 3 | Viewed by 1710
Abstract
The increasing penetration level of distributed energy resources (DERs) increases the risk of congestion in the distribution network. To mitigate this, the concept of the small-scale DER aggregator was introduced as a change from uncoordinated to coordinated DERs. However, without appropriate network use [...] Read more.
The increasing penetration level of distributed energy resources (DERs) increases the risk of congestion in the distribution network. To mitigate this, the concept of the small-scale DER aggregator was introduced as a change from uncoordinated to coordinated DERs. However, without appropriate network use cost allocation, the unwanted DER curtailment will be enforced by the network operator. Therefore, this paper proposes a new approach for congestion management by allocating the different network usage costs depending on how much congestion is caused by the DERs in the distribution network. For this, a modified Kirschen’s tracing method is proposed and applied to the small-scale DER aggregator market. To verify the effectiveness of the proposed method, a simulation of the small-scale DER aggregator market in South Korea was performed under the IEEE 69-bus distribution network. The model was able to allocate the different network usage costs at different buses and, thus, encouraged the DERs to reduce their generation by charging the energy storage system (ESS) to mitigate congestion. An economic benefit analysis was also performed from the point of view of the aggregator concerning whether they should have an ESS or not. Full article
(This article belongs to the Special Issue Advanced ESS Operation to Support Grid Stability and Reliability)
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