优化涉及输电费用的跨区域电力交易:新的市场机制设计

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-07-20 DOI:10.1016/j.segan.2024.101478
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引用次数: 0

摘要

由于电力资源和需求在地域上的分布不平衡,跨区域电力交易通过远距离供电缓解了这一矛盾。为确保可持续、高效的交易,解决不可避免的输电费用的市场机制对于平衡各方利益至关重要。本研究设计了一种基于广义维克里-克拉克-格罗夫斯(G-VCG)和阈值设定的机制,考虑了发电机的扣留行为和电力传输费用。理论分析证明,该机制在满足个人理性、激励相容和弱预算平衡的同时,实现了社会福利最大化。它可以鼓励所有参与者报告真实信息,激励更多发电。对 PJM 电力市场的数值研究也证明了该机制在电力市场中的有效性。该机制的提出为实现跨区域电力市场的公平高效交易、提高市场参与者的活力提供了新的指导和实践参考。
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Optimizing cross-regional electricity transaction concerning transmission charges: A new market mechanism design

Given the unbalanced distribution of power resources and demands in geography, cross-regional electricity transactions alleviate the conflict through the long-distance power supply. To ensure sustainable, efficient transactions, the market mechanism addressing the unavoidable transmission charges is essential for balancing the interests of all parties. This research designs a mechanism based on the Generalized Vickrey-Clarke-Groves (G-VCG) and threshold value setting considering generators' withholding behavior and power transmission charges. The theoretical analysis proves that this mechanism maximizes social welfare while satisfying individual rationality, incentive compatibility and weak budget balance. It can encourage all participants to report truthful information and motivate more power generation. Numerical studies of the PJM electricity market also demonstrate the effectiveness of this mechanism in the electricity market. The proposed mechanism contributes to new guidance and practical references for achieving fair and efficient transactions in the crossing-regional electricity market and improving the vigor of market participants.

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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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