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Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid

机译:气源热泵和电池储能系统在微电网中进行能量调节和波动稳定

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The energy consumption statistics of buildings have shown that in China, 50%-70% of the annual energy consumption is consumed by cooling and heating systems, the majorities are air conditions and hot water supply. To cut down the investment of BESS, this paper studies the application of Air Source Heat Pump (ASHP) in a photovoltaic/Battery Energy Storage System (PV/BESS) microgrid. Energy dispatching strategy is proposed to take advantage of the thermal storage, and fluctuation stabilization strategy is proposed based on the decouple characteristics between Heat Pumps (HPs) and terminal devices. As the characteristics of fluctuation and the inputted capacity of ASHP should be considered during the stabilization, there are too many input variables for traditional fuzzy logic algorithm. According to this, this paper proposes an improved fuzzy logic algorithm, Double Fuzzy Logic (DFL) algorithm, to involve in all the necessary variables. At last, a case is simulated to verify the feasibility of the energy dispatching and fluctuation stabilization strategy. The results have verified that ASHP can decrease the capacities of PV/ BESS and stabilize the fluctuation effectively. (C) 2016 Elsevier Ltd. All rights reserved.
机译:建筑物的能耗统计显示,在中国,每年能耗的50%-70%是通过制冷和供暖系统消耗的,其中大多数是空调和热水供应。为了减少BESS的投资,本文研究了空气源热泵(ASHP)在光伏/电池储能系统(PV / BESS)微电网中的应用。提出了利用热量存储的能量分配策略,并基于热泵(HP)与终端设备之间的去耦特性,提出了波动稳定策略。由于在稳定过程中应考虑ASHP的波动特性和输入能力,因此传统模糊逻辑算法的输入变量过多。据此,本文提出了一种改进的模糊逻辑算法,即双模糊逻辑(DFL)算法,其中涉及所有必要的变量。最后,通过实例验证了能量分配和波动稳定策略的可行性。结果证明,ASHP可以降低PV / BESS的容量并有效地稳定波动。 (C)2016 Elsevier Ltd.保留所有权利。

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