Topic Editors

Department of Electrical and Computer Engineering, University of Coimbra, 3004-531 Coimbra, Portugal
Prof. Dr. Luís Pires Neves
Departamento de Engenharia Electrotécnica, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal
Institute for Systems and Computer Engineering of Coimbra (INESCC), Polytechnic Institute of Setúbal, 2910-761 Setúbal, Portugal

Electricity Demand-Side Management, 2nd Volume

Abstract submission deadline
31 December 2024
Manuscript submission deadline
31 March 2025
Viewed by
847

Topic Information

Dear Colleagues,

We would like to invite submissions to this Topic on the subject of Electricity Demand-Side Management, which is a continuation of the previous successful Topic. Demand-side management (DSM) is a critical instrument to deal with contemporary utility business risks. At the same time, it is also part of the portfolio of options of energy and environmental policies in the context of climate change. The electricity industry is disorganized in many parts of the world, while in many others, it is vertically integrated. DSM plays similar roles in both cases. Consolidated management instruments may be used in the case of vertically integrated utilities, where the impacts of acting on the demand side are perceptible across the value chain. In the case of liberalized markets of electricity, new approaches have to be used, as there is a much larger number of relevant economic agents whose interests are not coincidental. New insights and methods have to be used for assessing the economic and societal interest of DSM programs and measures.

Together with distributed energy resources, DSM is a part of a larger picture where demand flexibility is key to a sustainable energy future and where renewable electricity, energy storage, demand response, electric mobility and smart grids are all inextricably connected.

We look forward to your submissions with new insights into the contemporary and future roles of DSM.

Prof. Dr. António Gomes Martins
Prof. Dr. Luís Pires Neves
Prof. Dr. José Luís Sousa
Topic Editors

Keywords

  • demand-side management
  • demand response
  • energy efficiency
  • cost–benefit analysis
  • distributed energy resources
  • flexibility management
  • flexible demand in smart buildings
  • behind-the-meter storage control
  • consumer behavior

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.7 4.5 2011 16.9 Days CHF 2400 Submit
Energies
energies
3.2 5.5 2008 16.1 Days CHF 2600 Submit
Processes
processes
3.5 4.7 2013 13.7 Days CHF 2400 Submit
Clean Technologies
cleantechnol
3.8 4.5 2019 26.6 Days CHF 1600 Submit
Electricity
electricity
- - 2020 20.3 Days CHF 1000 Submit

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Published Papers (1 paper)

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24 pages, 3458 KiB  
Article
A Transmission and Distribution Cooperative Congestion Scheduling Strategy Based on Flexible Load Dynamic Compensation Prices
by Hui Sun, Tian Jin, Zhengnan Gao, Shubo Hu, Yanan Dou and Xueli Lu
Energies 2024, 17(5), 1232; https://0-doi-org.brum.beds.ac.uk/10.3390/en17051232 - 04 Mar 2024
Viewed by 449
Abstract
With the demand response and the massive access of distributed energy to the distribution network, it is possible to solve the transmission congestion problem by coordinating the controllable resources in a transmission network and distribution network. Aiming at resolving the problems of scattered [...] Read more.
With the demand response and the massive access of distributed energy to the distribution network, it is possible to solve the transmission congestion problem by coordinating the controllable resources in a transmission network and distribution network. Aiming at resolving the problems of scattered side response resources and difficult-to-negotiate compensation prices, a bi-level optimal congestion scheduling strategy based on flexible load dynamic compensation prices is proposed. Under this strategy, the transmission network layer aims at minimizing the congestion cost and optimizes the adjustment scheme of the generator set and the node price. The active distribution network layer obtains the dynamic compensation price of the flexible load of the distribution network through the load characteristics and the node price. Through the interaction and coordination between the two layers, an optimal congestion scheduling scheme is obtained, and the transmission and distribution jointly solve the congestion problem. Based on the modified IEEE-39 experimental system, the effectiveness of the proposed strategy is verified via a simulation. Full article
(This article belongs to the Topic Electricity Demand-Side Management, 2nd Volume)
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