Electricity Demand-Side Management, 2nd Edition

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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

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.3	2011	18.4 Days	CHF 2400
Energies energies	3.0	6.2	2008	16.8 Days	CHF 2600
Processes processes	2.8	5.1	2013	14.9 Days	CHF 2400
Clean Technologies cleantechnol	4.1	6.1	2019	33.5 Days	CHF 1600
Electricity electricity	-	4.8	2020	27.9 Days	CHF 1000

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Published Papers (6 papers)

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All Applied Sciences Energies Processes Clean Technol. Electricity

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17 pages, 2257 KiB  

Open AccessArticle

Application of Fault Tracing Paths Approach for Reliability of the Composite Power Systems

by Athraa Ali Kadhem

Processes 2025, 13(4), 1035; https://doi.org/10.3390/pr13041035 - 31 Mar 2025

Viewed by 39

Abstract

The usefulness of the well-built electrical power system is efficient supply generation of electrical power for consumers. For a reliability assessment of power systems, the system’s actual components in terms of performance and random behavior should be evaluated. This paper presents a reliability [...] Read more.

The usefulness of the well-built electrical power system is efficient supply generation of electrical power for consumers. For a reliability assessment of power systems, the system’s actual components in terms of performance and random behavior should be evaluated. This paper presents a reliability analysis based on the Fault Tracing Paths (FTP) method to identify component outages in composite power systems. This study focuses on composite power systems because these systems are linked to generating and distribution systems, in addition to having the primary equipment in these systems being used to move the electrical power. The FTP approach will identify the primary equipment that caused the composite power systems failure. This method gives out the events matrix for numerous flow Fault Tracing paths from the power sources to the loads. The proposed events matrix is applied as input data to simulate the system behavior. A power flow study is conducted using the RTS test system to evaluate the reliability of generators, transformers, and transmission lines during an outage. The study employs a simplified one-line diagram method to determine system stability and failure impacts. Finally, the proposed FTP method can be applied to complicated composite power systems. Full article

(This article belongs to the Topic Electricity Demand-Side Management, 2nd Edition)

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20 pages, 1942 KiB  

Open AccessArticle

Energy Flexibility in Aluminium Smelting: A Long-Term Feasibility Study Based on the Prospects of Electricity Load and Photovoltaic Production

by Marko Bizjak, Niko Uremovič, Domen Mongus, Primož Sukič, Gorazd Štumberger, Haris Salihagić Hrenko, Dragan Mikša, Stanislav Kores and Niko Lukač

Appl. Sci. 2024, 14(22), 10108; https://doi.org/10.3390/app142210108 - 5 Nov 2024

Viewed by 1427

Abstract

This paper investigates the economic feasibility of utilising energy flexibility in aluminium production as a viable solution to leverage electricity surpluses arising from the increasing number of photovoltaic (PV) system installations. Future trends suggest that the generation capacity of PV systems will soon [...] Read more.

This paper investigates the economic feasibility of utilising energy flexibility in aluminium production as a viable solution to leverage electricity surpluses arising from the increasing number of photovoltaic (PV) system installations. Future trends suggest that the generation capacity of PV systems will soon surpass consumption, leading to significant electricity surpluses, particularly during the summer. This surplus electricity, which is anticipated to be available at low prices, offers a unique opportunity to evaluate different investment and utilisation scenarios for aluminium production while simultaneously decreasing its environmental impact. The results demonstrate that, despite their high initial investment cost, large-scale PV power plants can potentially deliver maximum economic gains over a ten-year period. Conversely, the direct utilisation of surpluses without substantial investment can yield savings of up to EUR 17 million within the same time frame for Slovenia’s case with an aluminium smelter, which has a maximum power usage of 60 MW. The findings of this study have significant implications in terms of shaping future energy strategies and policies, emphasizing the value of integrating renewable energy sources and industrial processes for enhanced economic and environmental outcomes. Full article

(This article belongs to the Topic Electricity Demand-Side Management, 2nd Edition)

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39 pages, 9820 KiB  

Open AccessArticle

Ownership, Patterns of Use and Electricity Consumption of Domestic Appliances in Urban Households of the West African Monetary and Economic Union: A Case Study of Ouagadougou in Burkina Faso

by Komlan Hector Seth Tete, Yrébégnan Moussa Soro, Djerambete Aristide Nadjingar and Rory Victor Jones

Energies 2024, 17(15), 3656; https://doi.org/10.3390/en17153656 - 25 Jul 2024

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Abstract

In the West African Monetary and Economic Union (UEMOA), information on the characteristics of the users and patterns of electricity end-uses remains hard to find. This study aims to contribute to reducing the gap in research on domestic electricity consumption in the region [...] Read more.

In the West African Monetary and Economic Union (UEMOA), information on the characteristics of the users and patterns of electricity end-uses remains hard to find. This study aims to contribute to reducing the gap in research on domestic electricity consumption in the region by unveiling the ownership rates, patterns of use and electricity consumption of domestic appliances in urban households through a city-wide survey. Three categories of urban users were investigated including high, medium and low consumers. Findings demonstrated various ownership rates for appliances, ranging from 100% for lighting fixtures to 0% for washing machines depending on user category. Domestic electricity demonstrated patterns consisting of three peak demand periods, with the main ones occurring in the evening (19:00 to 20:00) and the night (22:00). Other demand characteristics include an average daily electricity use ranging from 0.50 to 6.42 kWh per household, a maximum power demand of between 0.19 and 0.70 kW and a daily load factor between 35 and 58%. Finally, the appliances contributing the most to domestic electricity use include air-conditioners, fans, fridges and freezers, televisions and lighting fixtures, with contributions differing from one category of user to another. Policy implications including review of the appliances’ importations framework and policies, and incentives for purchasing efficient appliances, design of more tailored policies, considering the different backgrounds of the users, education enhancement on energy behaviours for increasing energy efficiency/conservation, and implementation of DSM programs including load levelling, load shifting and load reducing depending on the type of appliance for energy conservation in the domestic buildings were derived. Overall, a large range of stakeholders of the electricity sector, not only in the West African Economic and Monetary Union (UEMOA), but also in other regions and countries sharing common characteristics should be interested in the results of this study. Full article

(This article belongs to the Topic Electricity Demand-Side Management, 2nd Edition)

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15 pages, 2002 KiB  

Open AccessArticle

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

Cited by 2 | Viewed by 1073

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 Edition)

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24 pages, 2533 KiB  

Open AccessArticle

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

Cited by 3 | Viewed by 3003

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 Edition)

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24 pages, 3458 KiB  

Open AccessArticle

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

Cited by 1 | Viewed by 1008

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 Edition)

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