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Coordinated optimization of vehicle-to-grid control and load frequency control by considering statistical properties of active power imbalance

机译:考虑有功功率不平衡的统计特性,实现车辆对电网控制和负荷频率控制的协调优化

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摘要

The significantly increased penetration level of electric vehicles (EVs) that causes a great challenge for the vehicle-to-grid (V2G) system and power system influences the performance of the systems. To achieve some good performance of the V2G and power system, this paper proposes a co-optimizing method based on the operation of V2G control and load frequency control (LFC). Compared with the existed results, the proposed method that deals with dead bands and statistical properties of power imbalance in power system establishes a model of two-area V2G system containing the nonlinear features in the beginning. Based on the proposed model, the composition of power imbalance is analyzed, while the Latin hypercube sampling (LHS) is employed to obtain active power imbalance scenarios caused by the probability distribution of load disturbance and renewable energy source in each area. Because the active power imbalance scenarios are considered and the cost function is constructed by the integration of integral time multiply absolute error (ITAE), the droop coefficients of V2G control and proportional-integral (PI) controllers of LFC that are co-optimized simultaneously maintain the demand of holding state of charge (SOC) from EV owners and frequency regulation of V2G system. Finally, simulation results show the validity and advantage of the proposed method.
机译:电动汽车(EV)的普及率显着提高,这对车辆到电网(V2G)系统和电力系统造成了巨大挑战,从而影响了系统的性能。为了实现V2G和电力系统的良好性能,本文提出了一种基于V2G控制和负载频率控制(LFC)的协同优化方法。与已有结果相比较,该方法解决了电力系统功率不平衡的死区和统计特性,建立了一个包含非线性特征的两区域V2G系统模型。基于提出的模型,分析了电力不平衡的构成,同时采用拉丁超立方体抽样(LHS)来获得由每个区域的负荷扰动和可再生能源的概率分布引起的有功功率不平衡的情况。因为考虑了有功功率不平衡情况,并且通过积分时间乘以绝对误差(ITAE)的积分来构建成本函数,所以共同优化的V2G控制和LFC的比例积分(PI)控制器的下垂系数会同时保持电动汽车车主对充电保持状态(SOC)的需求以及V2G系统的频率调节。最后,仿真结果表明了该方法的有效性和优越性。

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