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Two-stage collaborative global optimization design model of the CHPG microgrid

机译:CHPG Microgrid的两阶段协同全球优化设计模型

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With the continuous developing of technology and reducing of investment costs, renewable energy proportion in the power grid is becoming higher and higher because of the clean and environmental characteristics, which may need more larger-capacity energy storage devices, increasing the cost. A two-stage collaborative global optimization design model of the combined-heat-power-and-gas (abbreviated as CHPG) microgrid is proposed in this paper, to minimize the cost by using virtual storage without extending the existing storage system. P2G technology is used as virtual multi-energy storage in CHPG, which can coordinate the operation of electric energy network and natural gas network at the same time. Demand response is also one kind of good virtual storage, including economic guide for the DGs and heat pumps in demand side and priority scheduling of controllable loads. Two kinds of storage will coordinate to smooth the high-frequency fluctuations and low-frequency fluctuations of renewable energy respectively, and achieve a lower-cost operation scheme simultaneously. Finally, the feasibility and superiority of proposed design model is proved in a simulation of a CHPG microgrid.
机译:随着技术的不断发展和降低投资成本,由于清洁和环境特性,电网中可再生能源比例变得越来越高,可能需要更大容量的能量存储设备,增加成本。本文提出了一种两阶段协同全球优化设计模型,通过使用虚拟存储,在不扩展现有存储系统的情况下最小化成本。 P2G技术用作CHPG中的虚拟多能量存储,可以同时协调电能网络和天然气网络的运行。需求响应也是一种良好的虚拟存储,包括DGS和热泵的经济指南,其需求侧和可控负载的优先级调度。两种储存将分别坐标,以平滑可再生能源的高频波动和低频波动,同时实现较低成本的操作方案。最后,证明了所提出的设计模型的可行性和优越性在CHPG Microgrid的模拟中证明了。

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