Incentivizing sustainable practices: Game-theoretic approach to peer-to-peer energy trading in the green transition era

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Jingxuan Dong, Jian Li
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引用次数: 0

Abstract

The urgent global concern regarding climate change has highlighted the necessity for transitioning to power generation with zero carbon emissions to promote a sustainable and environmentally conscious society. A crucial element in this transformation is reducing our dependence on the primary grid, which is predominantly powered by fossil fuels, natural gas, and coal. An innovative strategy for achieving this essential transition is through peer-to-peer energy trading (P2PET). However, the effectiveness of P2PET relies on successfully aligning the energy-related objectives of its participants. Identifying and effectively addressing these goals is a significant challenge. In response, this paper introduces a game-theoretic framework designed to encourage subscribers to engage in P2PET, both in islanded microgrids and interconnected grid configurations. Our methodology begins by introducing a model that captures the core energy-related objectives of both energy producers and consumers. This model is supported by a layered architectural framework tailored for peer-to-peer (P2P) marketplaces, enhancing the identification and classification of existing technologies in this domain. Following this, we delve into the formulation of an extended-form game rooted in non-cooperative game theory. We systematically evaluate the presence of strict Nash equilibria within this game-theoretic structure. To promote active engagement and trading in the peer-to-peer energy market (P2PEM), we introduce an innovative energy allocation policy. This policy is strategically devised to ensure the inclusion of every subscriber in the market, irrespective of fluctuations in supply and demand dynamics. Our proposed P2PET scheme is tested on a representative system, specifically a 14-bus IEEE network, incorporating 8 energy producers and 11 consumers as active participants in the market. By conducting an extensive series of tests, we accurately evaluate the design's performance. The results, compared to previous studies, show a significant reduction in consumer energy bills, ranging from 33 % to 7 %. This convincing result underscores the effectiveness and robustness of our proposed energy trading framework. In a world grappling with the imperative to transition to sustainable energy practices, our game-theoretic approach to incentivizing participants in P2PET emerges as a pivotal contribution. It demonstrates tangible benefits, promotes green energy production, and encourages responsible energy consumption.

激励可持续做法:绿色转型时代点对点能源交易的博弈论方法
全球对气候变化的迫切关注凸显了向零碳排放发电转型的必要性,以促进社会的可持续发展和环保意识。这种转型的一个关键因素是减少我们对主要由化石燃料、天然气和煤炭驱动的主电网的依赖。实现这一重要转变的创新战略是点对点能源交易(P2PET)。然而,P2PET 的有效性取决于能否成功协调参与者的能源相关目标。确定并有效实现这些目标是一项重大挑战。为此,本文引入了一个博弈论框架,旨在鼓励用户参与 P2PET,包括孤岛微电网和互联电网配置中的 P2PET。我们的方法首先引入了一个模型,该模型捕捉了能源生产者和消费者与能源相关的核心目标。该模型由专为点对点(P2P)市场定制的分层架构框架提供支持,从而加强了对该领域现有技术的识别和分类。随后,我们深入探讨了基于非合作博弈论的扩展形式博弈。我们系统地评估了这一博弈理论结构中是否存在严格的纳什均衡。为了促进点对点能源市场(P2PEM)中的积极参与和交易,我们引入了一种创新的能源分配政策。无论供需动态如何波动,该政策的战略设计都能确保将每个用户都纳入市场。我们提出的 P2PET 方案在一个具有代表性的系统上进行了测试,特别是一个 14 总线的 IEEE 网络,其中有 8 个能源生产商和 11 个消费者作为市场的积极参与者。通过进行一系列广泛的测试,我们准确评估了该设计的性能。与之前的研究相比,结果显示消费者的能源账单显著减少,减少幅度从 33% 到 7%。这一令人信服的结果凸显了我们提出的能源交易框架的有效性和稳健性。在全世界都在努力向可持续能源实践转型的当下,我们采用博弈论方法来激励 P2PET 的参与者是一项关键性的贡献。它展示了实实在在的好处,促进了绿色能源生产,鼓励了负责任的能源消费。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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