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Energies
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Modelling and Control of Energy Storage System
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Modelling and Control of Energy Storage System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: closed (10 June 2020) | Viewed by 5743

Special Issue Editor

Dr. Henrik W. Bindner

E-Mail Website
Guest Editor
Department of Electrical Engineering, Technical University of Denmark, Frederiksborgvej 399, Building 776, room 02, 4000 Roskilde, Denmark
Interests: energy storage system; smart grids; modelling; control; multi-energy system; value stacking; optimal siting; network planning; market integration

Special Issue Information

Dear Colleagues,

Energy storage systems will play an essential role in achieving an energy system based on renewable energy. They can serve many different roles in the electricity system and in the energy system by providing flexibility to balance the systems. They will have a significant impact on network planning and operation by contributing to the integration of distributed generation and mitigating the impact of the increased electricity consumption coming from the electrification of transportation and space heating.

This Special Issue will focus on how to model and control energy storage systems to integrate them in the operation of the system at all levels. It will provide insights into how to integrate ESS into markets and enable good business outcomes by stacking multiple streams of revenue. The ESS will be installed and operated in very different market and regulatory setups, and this will have a huge impact on the optimal utilization of the capabilities. The co-location and coordinated operation of largescale wind power and solar power installations with ESS presents new possibilities for the operation of the combined system by firming the fluctuating generation.

This Special Issue aims at compiling articles that advance the technical and market integration of ESS via advanced modelling, control, and operations.

Dr. Henrik W. Bindner
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 storage system
  • Smart grids
  • Modelling
  • Control
  • Multi-energy system

Published Papers (3 papers)

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Research

17 pages, 3074 KiB  
Article
Novel Time Method of Identification of Fractional Model Parameters of Supercapacitor
by Miroslaw Lewandowski and Marek Orzylowski
Energies 2020, 13(11), 2877; https://doi.org/10.3390/en13112877 - 04 Jun 2020
Viewed by 1678
Abstract
Accurate dynamic models of supercapacitors (SCs) are a basis for the design, control and exploitation of the hybrid energy storage systems for electric vehicles. This paper concerns a fractional model of SC impedance, based on the Cole–Cole equation describing relaxation in electric double [...] Read more.
Accurate dynamic models of supercapacitors (SCs) are a basis for the design, control and exploitation of the hybrid energy storage systems for electric vehicles. This paper concerns a fractional model of SC impedance, based on the Cole–Cole equation describing relaxation in electric double layer. This article provides a new method of identifying the parameters of fractional order model of SC impedance, performed without disconnecting the SC module from the energy storage system. The test drive for this purpose needs only the respect a few simple recommendations. The article presents the conditions of the mentioned test drive that will ensure the frequency spectra of the recorded signals lying in the bandwidth necessary for the correct identification of the model parameters. These parameters are determined by means of the Nelder–Mead simplex optimization method. The results of the identification described by the time method coincide with those obtained in the frequency domain. It has been shown in the last part of the article that the real energy losses in these systems significantly exceed the losses determined only on the basis of the nominal capacity and series equivalent resistance (ESR), to which the SC catalogue data are usually limited. This paper also provides an auxiliary frequency criterion for the selection of SCs intended for energy storage systems of electric vehicles. Full article
(This article belongs to the Special Issue Modelling and Control of Energy Storage System)
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18 pages, 3115 KiB  
Article
Optimal Dispatch Strategy for a Flexible Integrated Energy Storage System for Wind Power Accommodation
by Yunhai Zhou, Pinchao Zhao, Fei Xu, Dai Cui, Weichun Ge, Xiaodong Chen and Bo Gu
Energies 2020, 13(5), 1073; https://doi.org/10.3390/en13051073 - 01 Mar 2020
Cited by 15 | Viewed by 1879
Abstract
The application of the large-capacity energy storage and heat storage devices in an integrated energy system with a high proportion of wind power penetration can improve the flexibility and wind power accommodation capacity of the system. However, the efficiency and cost of the [...] Read more.
The application of the large-capacity energy storage and heat storage devices in an integrated energy system with a high proportion of wind power penetration can improve the flexibility and wind power accommodation capacity of the system. However, the efficiency and cost of the flexible resource should also be taken into consideration when improving the new energy accommodation capacity. Based on these considerations, the authors try to construct a joint optimal scheduling model for day-ahead energy storage and heat storage that considers flexibility. The power supplies and devices will be modeled separately, which enables a universal applicability. The objective function is the minimum cost and wind curtailment. Various practical constraints are taken into account. The mixed integer programming and software GLPK is used to program and solve. The actual operation data of a provincial power grid in northern China is used to conduct simulation analysis in four different working conditions. The results show that the model can maintain economical efficiency under different working conditions. In addition, it can adjust and dispatch various power supplies and devices efficiently, significantly improving wind power accommodation of the system. Full article
(This article belongs to the Special Issue Modelling and Control of Energy Storage System)
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23 pages, 5943 KiB  
Article
Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling
by Carlo Baron, Ameena S. Al-Sumaiti and Sergio Rivera
Energies 2020, 13(4), 957; https://doi.org/10.3390/en13040957 - 20 Feb 2020
Cited by 12 | Viewed by 1843
Abstract
Planning the operation scheduling with optimization heuristic algorithms allows microgrids to have a convenient tool. The developments done in this study attain this scheduling taking into account the impact of energy storage useful life in the microgrid operation. The scheduling solutions, proposed for [...] Read more.
Planning the operation scheduling with optimization heuristic algorithms allows microgrids to have a convenient tool. The developments done in this study attain this scheduling taking into account the impact of energy storage useful life in the microgrid operation. The scheduling solutions, proposed for the answer of an optimization problem, are obtained by using a metaheuristic algorithm called Differential Evolutionary Particle Swarm Optimization (DEEPSO). Thanks to the optimization that is conducted in this study, it is possible to formulate dispatches of the existent microgrid (MG) by always looking for the ideal dispatch that implies a lower cost and provides a greater viability to any project related to renewable energy, electric vehicles and energy storage. These advances oblige the battery manufacturers to start looking for more powerful batteries, with lower costs and longer useful life. In this way, this paper proposes a scheduling tool considering the energy storage useful life. Full article
(This article belongs to the Special Issue Modelling and Control of Energy Storage System)
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