Comparative Analysis of Peer-to-Peer PV Trading Strategies under the Influence of Network Constraints with Prosumer Sensitivity towards Network Coefficients

IF 2.5 4区 综合性期刊 Q2 CHEMISTRY, MULTIDISCIPLINARY Applied Sciences-Basel Pub Date : 2023-09-06 DOI:10.3390/app131810044
Sheroze Liaquat, Tanveer Hussain, Fadi Agha Kassab, B. Celik, Robert S. Fourney, T. Hansen
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Abstract

With the increase in rooftop photovoltaic (PV) systems at the residential level, customers owning such renewable resources can act as a source of generation for other consumers in the same network. Peer-to-peer (P2P) energy trading refers to a local trading platform where the residential customers having excess PV power (prosumers) can interact with their neighbors without PV resources (customers) to improve the social welfare of society. However, the performance of a P2P market depends on the power system network constraints and trading strategy adopted for local energy trading. In this paper, we compare different trading strategies, i.e., the rule-based zero intelligent (ZI) strategy and the preference-based game theory (GT) approaches, for a constrained P2P platform. Quadratic trading loss and impedance-based network utilization fee models are suggested to define the network constraints for the P2P system. Additionally, a reluctance-based prosumer-sensitive model is developed to adjust the trading behavior of the participants under the heavy distribution losses/network fee. The presented results show that the suggested trading strategies enhanced the average welfare of the participants by approximately 17%. On average, the customers saved about $33.77 monthly, whereas the average monthly earnings of the prosumers were around $28.3. The ZI strategy enhanced the average monetary advantages of all the market participants by an average of 7% for a system having small distribution losses and a network fee as compared to the GT approach. Contrarily, for a system having high losses/a utilization fee, the GT approach improved the average welfare of the prosumers by around 75% compared to the ZI strategy. However, both trading strategies yielded competitive results compared to the traditional market under the standard values of network coefficients.
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具有网络系数敏感性的网络约束下对等光伏交易策略的比较分析
随着住宅级屋顶光伏(PV)系统的增加,拥有这些可再生资源的客户可以作为同一网络中其他消费者的发电来源。P2P (Peer-to-peer)能源交易是指拥有过剩光伏电量的住宅用户(产消者)与没有光伏资源的邻居(客户)进行互动,以提高社会福利的本地交易平台。然而,P2P市场的绩效取决于本地能源交易所采用的电力系统、网络约束和交易策略。在本文中,我们比较了不同的交易策略,即基于规则的零智能(ZI)策略和基于偏好的博弈论(GT)方法,用于约束P2P平台。提出了二次交易损失模型和基于阻抗的网络使用费模型来定义P2P系统的网络约束。此外,本文还建立了一个基于不情愿的产消敏感模型来调整参与者在高分配损失/网络费用下的交易行为。研究结果表明,建议的交易策略使参与者的平均福利提高了约17%。消费者每月平均节省约33.77元,而产消者每月平均收入约28.3元。与GT方法相比,对于具有较小分配损失和网络费用的系统,ZI策略使所有市场参与者的平均货币优势平均提高了7%。相反,对于具有高损失/使用费的系统,与ZI策略相比,GT方法使产消者的平均福利提高了约75%。然而,在网络系数标准值下,两种交易策略与传统市场相比都产生了竞争结果。
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来源期刊
Applied Sciences-Basel
Applied Sciences-Basel CHEMISTRY, MULTIDISCIPLINARYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.30
自引率
11.10%
发文量
10882
期刊介绍: Applied Sciences (ISSN 2076-3417) provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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