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
2400

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 (3 papers)

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16 pages, 747 KiB  
Article
Optimized Decision-Making for Multi-Market Green Power Transactions of Electricity Retailers under Demand-Side Response: The Chinese Market Case Study
by Hui Wang and Yao Xu
Energies 2024, 17(11), 2543; https://doi.org/10.3390/en17112543 - 24 May 2024
Viewed by 199
Abstract
With the energy structure transition and the development of the green power market, the role of electricity retailers in multi-market green power trading has become more and more important. Particularly in China, where aggressive green energy policies and rapid market transformations provide a [...] Read more.
With the energy structure transition and the development of the green power market, the role of electricity retailers in multi-market green power trading has become more and more important. Particularly in China, where aggressive green energy policies and rapid market transformations provide a distinct context for such studies, the challenges are pronounced. Under demand-side response, electricity retailers face the uncertainty of users’ electricity consumption and incentives, which complicates decision-making processes. The purpose of this paper is to explore the optimization decision-making problem of multi-market green power trading for electricity retailers under demand-side response, with a special focus on the Chinese market due to its leadership in implementing substantial green energy initiatives and its potential to set precedents for global practices. We first construct a two-party benefit optimization model, which comprehensively considers the profit objectives for electricity retailers and utility maximization for users. Then, the model is solved by the Lagrange multiplier method and distributed subgradient algorithm to obtain the optimal solution. Finally, the effectiveness of the incentive optimization strategy under the multi-market to promote green power consumption and improve the profit of electricity retailers is verified by arithmetic simulation. The results of this study show that the incentive optimization strategy under multi-market, particularly within the Chinese context, is expected to provide a reference for electricity retailers to develop more flexible and effective trading strategies in the green power market and to contribute to the process of promoting green power consumption globally. Full article
(This article belongs to the Topic Electricity Demand-Side Management, 2nd Volume)
24 pages, 2533 KiB  
Article
Evaluating Preparedness and Overcoming Challenges in Electricity Trading: An In-Depth Analysis Using the Analytic Hierarchy Process and a Case Study Exploration
by Suraj Regmi, Abhinav Rayamajhi, Ramhari Poudyal and Sanjeev Adhikari
Electricity 2024, 5(2), 271-294; https://doi.org/10.3390/electricity5020014 - 11 May 2024
Viewed by 1186
Abstract
The economy of South Asia is experiencing growth, yet it faces constraints due to heavy reliance on fossil fuels and frequent power outages. Access to diverse energy sources, particularly electricity, is crucial for sustaining this growth. One feasible solution involves neighbouring countries engaging [...] Read more.
The economy of South Asia is experiencing growth, yet it faces constraints due to heavy reliance on fossil fuels and frequent power outages. Access to diverse energy sources, particularly electricity, is crucial for sustaining this growth. One feasible solution involves neighbouring countries engaging in the trade of renewable electrical energy. Hydropower stands as one of the many energy sources available in South Asia. However, sectorial constraints pose significant challenges to energy trade initiatives. This study utilises the Analytic Hierarchy Process (AHP) to evaluate Nepal’s readiness and identify obstacles to its cross-border energy trade with India and Bangladesh. A comprehensive analysis of these obstacles is imperative for formulating effective strategies and policies. Additionally, this study offers recommendations for enhancing preparedness and resolving issues related to energy trading, which may apply to similar cross-border situations. This study ranks energy trading obstacles with neighbouring nations using the AHP, offering key insights for stakeholders and policymakers. Using a non-probabilistic purposeful sampling technique, 25 expert respondents from the energy sector and prominent academicians were selected as part of the data collection procedure. At every level of the interview process, their perspectives were invaluable in guaranteeing a thorough and rigorous investigation. Full article
(This article belongs to the Topic Electricity Demand-Side Management, 2nd Volume)
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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://doi.org/10.3390/en17051232 - 4 Mar 2024
Viewed by 526
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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