Special Issue "Modelling and Analysis of Distributed Energy Storage"

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

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editor

Dr. Danny Pudjianto
E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
Tel. +44 (0)7989 443 398
Interests: integration of renewable energy; optimization in energy system planning and operation; smart grid; economics and regulations in power systems

Special Issue Information

Dear Colleagues,

Distributed energy storage technologies have recently attracted significant research interest. There are strong and compelling business cases where distributed storage technologies can be used to optimize the whole electricity system sectors (generation, transmission, and distribution) in order to support not only the cost-efficient integration of low-carbon generation, but also network congestion and voltage management, both at the system and local levels. This Special Issue aims to publish novel research on the development of distributed energy storage technologies, their modeling, and applications in power system planning and operation, as well as the results of trials and validation experiences that can contribute to deepening understanding about their applications, designs, and innovations. Modeling and studies on Electric Vehicles’ battery systems, Vehicle-to-Grid concepts, and hybrid systems with distributed storage are welcome.

The range of relevant topics includes:

  • Distributed energy storage technologies which can interact with the electrical system;
  • Techniques for optimizing storage designs, locations, and operations;
  • Smart control algorithms for distributed energy storage operation;
  • Multi-applications of distributed energy storage in power system planning and operation, including power quality and reliability, provision of reactive and voltage control, reserves, and other ancillary services;
  • Whole-system energy system modeling and quantification of the system benefits and value of distributed energy storage;
  • Integration of Transmission and Distribution System Operation with distributed storage and energy resources;
  • Integration of distributed energy storage in a microgrid system;
  • Electricity market frameworks (both energy and ancillary services) and business models for distributed energy storage applications in systems with high penetration of renewable generation;
  • Demonstration and trial experiences of distributed energy storage.

Dr. Danny Pudjianto
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 papers will be 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 1800 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

  • distributed energy storage
  • electric vehicles
  • integration of renewable energy
  • microgrids
  • storage applications in power systems
  • smart grids
  • optimization
  • electricity markets

Published Papers (3 papers)

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Research

Open AccessArticle
Quantification of the Energy Storage Contribution to Security of Supply through the F-Factor Methodology
Energies 2020, 13(4), 826; https://doi.org/10.3390/en13040826 - 14 Feb 2020
Abstract
The ongoing electrification of the heat and transport sectors is expected to lead to a substantial increase in peak electricity demand over the coming decades, which may drive significant investment in network reinforcement in order to maintain a secure supply of electricity to [...] Read more.
The ongoing electrification of the heat and transport sectors is expected to lead to a substantial increase in peak electricity demand over the coming decades, which may drive significant investment in network reinforcement in order to maintain a secure supply of electricity to consumers. The traditional way of security provision has been based on conventional investments such as the upgrade of the capacity of electricity transmission or distribution lines. However, energy storage can also provide security of supply. In this context, the current paper presents a methodology for the quantification of the security contribution of energy storage, based on the use of mathematical optimization for the calculation of the F-factor metric, which reflects the optimal amount of peak demand reduction that can be achieved as compared to the power capability of the corresponding energy storage asset. In this context, case studies underline that the F-factors decrease with greater storage power capability and increase with greater storage efficiency and energy capacity as well as peakiness of the load profile. Furthermore, it is shown that increased investment in energy storage per system bus does not increase the overall contribution to security of supply. Full article
(This article belongs to the Special Issue Modelling and Analysis of Distributed Energy Storage)
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Open AccessArticle
On-Board Energy Storage Devices with Supercapacitors for Metro Trains—Case Study Analysis of Application Effectiveness
Energies 2019, 12(7), 1291; https://doi.org/10.3390/en12071291 - 04 Apr 2019
Cited by 2
Abstract
This paper presents an analysis on using an on-board energy storage device (ESD) for enhancing braking energy re-use in electrified railway transportation. A simulation model was developed in the programming language C++ to help with the sizing of the ESD. The simulation model [...] Read more.
This paper presents an analysis on using an on-board energy storage device (ESD) for enhancing braking energy re-use in electrified railway transportation. A simulation model was developed in the programming language C++ to help with the sizing of the ESD. The simulation model based on the mathematical description has been proposed for a train equipped with on-board ESD for analysis of effectiveness of its application. A case study was carried out for a metro line taking into consideration train characteristics, track alignment, line velocity limits and a running time table. This case study was used to assess the energy savings and perform a cost-benefit analysis for different sizes of the on-board ESD by applying the proposed approach. It was shown that when additional environmental benefits (reduction of CO2 emissions) are considered, this may significantly improve effectiveness of the investments due to CO2 European Emission allowances. Full article
(This article belongs to the Special Issue Modelling and Analysis of Distributed Energy Storage)
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Open AccessArticle
Energy Storage Scheduling in Distribution Systems Considering Wind and Photovoltaic Generation Uncertainties
Energies 2019, 12(7), 1231; https://doi.org/10.3390/en12071231 - 30 Mar 2019
Cited by 16
Abstract
Flexible distributed energy resources, such as energy storage systems (ESSs), are increasingly considered as means for mitigating challenges introduced by the integration of stochastic, variable distributed generation (DG). The optimal operation of a distribution system with ESS can be formulated as a multi-period [...] Read more.
Flexible distributed energy resources, such as energy storage systems (ESSs), are increasingly considered as means for mitigating challenges introduced by the integration of stochastic, variable distributed generation (DG). The optimal operation of a distribution system with ESS can be formulated as a multi-period optimal power flow (MPOPF) problem which involves scheduling of the charging/discharging of the ESS over an extended planning horizon, e.g., for day-ahead operational planning. Although such problems have been the subject of many works in recent years, these works very rarely consider uncertainties in DG, and almost never explicitly consider uncertainties beyond the current operational planning horizon. This article presents a framework of methods and models for accounting for uncertainties due to distributed wind and solar photovoltaic power generation beyond the planning horizon in an AC MPOPF model for distribution systems with ESS. The expected future value of energy stored at the end of the planning horizon is determined as a function of the stochastic DG resource variables and is explicitly included in the objective function. Results for a case study based on a real distribution system in Norway demonstrate the effectiveness of an operational strategy for ESS scheduling accounting for DG uncertainties. The case study compares the application of the framework to wind and solar power generation. Thus, this work also gives insight into how different approaches are appropriate for modeling DG uncertainty for these two forms of variable DG, due to their inherent differences in terms of variability and stochasticity. Full article
(This article belongs to the Special Issue Modelling and Analysis of Distributed Energy Storage)
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