Accurately estimating the SOC of a battery during the electric vehicle drive cycle is a vital issue that currently remains unresolved. A support vector regression algorithm (SVR), which has good nonlinear approximation ability, a quick convergence rate and global optimal solution, is proposed to estimate the battery SOC. First, the training data and the test data required in the estimation operation are collected using the ADVISOR software, followed by normalization of the data above. Then, cross validation and grid search methodologies are used to determine the parameters in the v-SVR model. Finally, simulation experiments have been carried out in the LIBSVM simulator. The simulation results show that, compared to the BP neural network algorithm, the v-Support Vector Regression algorithm performs better in estimating the battery SOC.
Synchronized Current Phasor Control (SCPC) is a novel inverter control method proposed recently. This paper investigates the voltage stability of a simple SCPC grid based on the bifurcation theory. Firstly, the expression of the bifurcation point of the simple SCPC grid is derived, and then the variation of voltage stability domain is analysed according to the trajectory of bifurcation point when the inverter droop parameters change. The theoretical analysis results show that the droop parameters have an obvious influence on the voltage stability, which provides guidance for parameter setting.
Synchronized Current Phasor Control (SCPC) is a new control method proposed recently for islanded microgrids. This paper firstly investigates the reactive power compensation characteristics of the SCPC islanded microgrid with I-V droop control, then analyzes the influence of the droop coefficient on it. Through this study, we find that the traditional reactive power compensation strategies are no longer adapted to SCPC islanded microgrids, since their characteristics of reactive power compensation are different from the traditional grid or other islanded microgrids controlled by the typical methods.
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