A behavioural model for negawatt sharing management based on the prospect theory in a citizen energy community

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Seyedeh Soudabeh Zadsar , Masoud Rashidinejad , Seyed Farshad Fatemi Ardestani , Amir Abdollahi , Sobhan Dorahaki
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引用次数: 0

Abstract

Citizen Energy Communities (CECs) have emerged as an attractive solution to reduce carbon emissions and enhance sustainability. One of the principal features of CECs is Peer-to-Peer (P2P) resource sharing, which is divided into two types: kilowatt P2P sharing and Negawatt P2P sharing. While kilowatt P2P sharing is extensively addressed in the literature, the role of Negawatt P2P sharing in prosumer-centric structures like CECs is not adequately explored. To address such a crucial challenge, this paper presents an optimal prosumer-centric energy management framework for CECs, taking into account human behaviours. Prospect theory is utilized to model prosumers' emotions and preferences in energy-related decisions within the CEC. The proposed model is evaluated using two case studies with different time frames: a one-day scheme and a one-year scheme. The results indicate that the Negawatt P2P sharing can enable prosumers to achieve significant electricity cost savings. By incorporating the prosumer's behavioural attitudes associated with Negawatt P2P sharing within a CEC for one-day scheduling, it is shown that electricity costs can be reduced by approximately 5.4 %. It is worth emphasizing that the overall value is enhanced by about 14 %. Moreover, in a one-year scheme, the integration of Negawatt P2P sharing led to a reduction in total operational costs by approximately 3.6 %, demonstrating the effectiveness of optimizing energy management while enhancing the economic performance of CECs throughout different horizons.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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