不间断智能住宅中基于下垂控制和模糊控制的最优负荷分担

M. Miyagi, Shuta Morinaga, Yuhei Shiroma, T. Funabashi
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引用次数: 1

摘要

目前,电动汽车(EV)的使用已经开始迅速普及,并且有可能将电动汽车与智能房屋连接以控制充电或放电操作。此时,智能家居需要根据蓄电池的充电状态和蓄电池容量进行最优负载分担控制。本文针对光伏系统、电动汽车、蓄电池和HEMS组成的智能住宅,提出了一种基于下垂控制和模糊控制的最优负荷分担方法。通过模糊控制,改变与光伏系统、蓄电池和电动汽车相连的各逆变器的下垂特性,实现最优负荷分担。在Matlab®/SimPowerSystems环境下的仿真结果验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal load sharing using droop control and fuzzy control in uninterruptible smart house
Currently, use of the electric vehicle (EV) has begun to spread rapidly and there is a possibility that the EV can be connected with the smart house to control charging or discharging operations. In this case, the smart house has to perform optimal load sharing control according to the state of charge of the storage battery and the battery capacity. In this paper, a method of optimal load sharing using droop control and fuzzy control is proposed for a smart house which is equipped with a PV system, EV, storage battery, and HEMS. Optimal load sharing is achieved by changing the droop characteristics of the each inverters which connected to the PV system, storage battery, and EV by using fuzzy control. The effectiveness of the proposed method is verified by simulation results in the Matlab®/SimPowerSystems environment.
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