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Incentivizing Peer-to-Peer Energy Sharing Using a Core Tâtonnement Algorithm

机译:使用核心Tâtornement算法激励点对点能量共享

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Peer-to-peer (P2P) energy trading is being considered as an effective approach to manage the distributed energy resources (DER) and provide secure and economical demand-supply balance in the face of variable electric loads and intermittent renewable generations through the local matching of energy demand and supply. However, the existing P2P energy trading mechanisms either neglect the flexibility value of energy storage units (ES) in mitigating demand-supply imbalances or fail to adequately incentivize prosumers to participate in P2P energy trading actively. By using cooperative game theory, this work manages P2P energy trading through constructing an energy grand coalition and an easily implementable core Tâtonnement algorithm is developed to suitably reward prosumers for incentivizing their sustainable participation in the grand coalition. The convergence and stability of the proposed algorithm are theoretically proven while case studies numerically demonstrate its convergence, effectiveness and local demand-supply balancing and RES absorption ability.
机译:点对点(P2P)能源交易被视为管理分布式能源(DER)的有效方法,并通过本地匹配面对可变电荷和间歇性可再生的代理提供安全和经济的需求平衡能源需求与供应。然而,现有的P2P能源交易机制忽略了减轻需求供应失衡的能量存储单元的灵活性值,或者未能充分激励积极参与P2P能源交易的质量。通过使用合作博弈论,通过构建能源大联盟和易于可实现的核心Tâtonnement算法来制定P2P能源交易,以适当地奖励激励其可持续参与宏大联盟的吸取法。在理论上证明了所提出的算法的收敛性和稳定性,而实例研究数值上展示其收敛,有效性和当地需求 - 供应平衡和res吸收能力。

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