This paper presents a hierarchical peer-to-peer-energy transaction model (P2P-ETM) considering the renewable energy preference. The model divides the characteristics of energy into normal and green energy. Green energy was assumed to be more expensive than normal energy, and prosumers and consumers considered in this model assumed that they have a preference for this green energy. Prosumer and consumer can trade energy with each other and buy normal and green energy from the main-grid. Prosumer can also sell surplus energy to the main-grid. To solve the energy transaction problem, we present a hierarchical approach considering the energy transaction and prosumers’ goal. The purpose of each prosumer such as energy purchase cost minimization or energy sales maximization for energy transaction is considered in the first step as the self-scheduling of prosumers. After prosumers’ self-scheduling we derive the energy transaction price and energy trading capacity through social welfare maximization. The proposed methodology is tested and validated on a virtual network. Through a case study using mixed integer linear programming (MILP), this model has demonstrated a decrease in the total operation cost in accordance with energy trading.

中文翻译：

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考虑产消者绿色能源偏好的分层对等能源交易模型

本文提出了一种考虑可再生能源偏好的分层对等能源交易模型（P2P-ETM）。该模型将能源的特性分为普通能源和绿色能源。绿色能源被假定为比普通能源更昂贵，并且在该模型中考虑的产消者和消费者假定他们偏爱这种绿色能源。产消者和消费者可以相互交易能源，从主电网购买正常和绿色能源。产消者还可以向主电网出售剩余能源。为了解决能源交易问题，我们提出了一种考虑能源交易和产消者目标的分层方法。每个产消者的目的，例如能源交易的能源购买成本最小化或能源销售最大化，在第一步中被认为是产消者的自我调度。在产消者自我调度后，我们通过社会福利最大化推导出能源交易价格和能源交易能力。所提出的方法在虚拟网络上进行了测试和验证。通过使用混合整数线性规划 (MILP) 的案例研究，该模型证明了根据能源交易降低了总运营成本。