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Frequency regulation strategy for private EVs participating in integrated power system of REs considering adaptive Markov transition probability

机译:考虑自适应马尔可夫转换概率的私人EVS私人电源频率调节策略

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摘要

The active power imbalance caused by renewable energies (REs) and loads is usually viewed as a main reason for the grid frequency variation. Private electric vehicles (EVs) participating in integrated power system frequency regulation of REs has great realistic significance, the bidirectional wireless power transfer system for EVs is analyzed in this paper, a fuzzy adaptive PI controller is proposed to achieve the charge and discharge control of EVs at any power value. Then a Markov model with adaptive Markov transition probability is developed to analyze the stochastic distribution of EVs. Considering the basic travel demands of the owners and the EV battery state of charge (SOC), a new advanced frequency regulation strategy is further proposed, and the regulation ability of EVs is quantitatively described. Finally, the effectiveness of the proposed frequency regulation strategy is verified by simulation results.
机译:可再生能量(RES)和负载引起的有效功率不平衡通常被视为网格频率变化的主要原因。参与RES集成电力系统频率调节的私人电动车(EVS)具有很大的实际意义,提出了一种模糊自适应PI控制器,以实现EVS的充电和放电控制,实现了一种模糊的自适应PI控制器在任何功率值。然后开发了一种具有自适应马尔可夫转变概率的马尔可夫模型,以分析EVS的随机分布。考虑到业主的基本旅行需求和EV电池充电状态(SOC),进一步提出了一种新的先进频率调节策略,并且量化EVS的调节能力。最后,通过模拟结果验证了所提出的频率调节策略的有效性。

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