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首页> 外文期刊>Sustainable Energy, IEEE Transactions on >Energy Pricing and Sharing Strategy Based on Hybrid Stochastic Robust Game Approach for a Virtual Energy Station With Energy Cells
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Energy Pricing and Sharing Strategy Based on Hybrid Stochastic Robust Game Approach for a Virtual Energy Station With Energy Cells

机译：基于混合随机鲁棒游戏方法对能量电池的虚拟能源站的能量定价与分享策略

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摘要

In this paper, a novel energy pricing and sharing strategy is proposed to solve the energy management and market bidding problems of a virtual energy station (VES) in multi-carrier energy systems. First, the energy cell-tissue-based group interaction framework and the multiagent-based communication and control architecture are established in the VES. Second, the general model of an energy cell is built, in which the integrated demand response process and the automatic generation control mode of a combined heat and power unit are designed. Third, according to the classification of energy cells, the aggregation rules of the VES without the participation of third-party agents are proposed, and the internal trading mechanism of the VES led by a higher energy cell is designed based on a Stackelberg game. Moreover, a three-stage hybrid stochastic robust optimization strategy is proposed to address uncertainties in market prices and renewable energy output. Finally, the optimization model is linearized and solved by duality theory, KKT conditions, and column-and-constraint generation (C&CG) algorithm. Simulation results prove the rationality and effectiveness of the framework and business model for the VES.
机译：本文提出了一种新的能源定价和共享策略，解决了多载能源系统中虚拟能源站（VES）的能量管理和市场招标问题。首先，在VES中建立能量小区组织基组交互框架和基于多元通信和控制架构。其次，设计了能量电池的一般模型，其中设计了集成需求响应过程和组合热电部的自动产生控制模式。第三，根据能量电池的分类，提出了在没有第三方代理人参与的情况下，VES的聚合规则，并根据Stackelberg游戏设计了由更高的能量电池领导的VES的内部交易机制。此外，提出了一种三阶段混合随机稳健优化策略，以解决市场价格和可再生能源产量的不确定性。最后，优化模型由二元理论，KKT条件和列和约束生成（C＆CG）算法进行线性化和解决。仿真结果证明了VES框架和商业模式的合理性和有效性。

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