Reactive Power Optimization for Distribution Network with the Electric Vehicle

doi:10.11985/2017.03.007

Abstract

Abstract:

After large-scale electric vehicle charging connected to the grid, due to the uncertainty of the charging time and space, new challenges to the reactive power optimization in the distribution network. Reactive power optimization model of distribution network including electric vehicle is studied in this paper, the power of chargingof each node, the terminal voltage, the position of the tap position and the compensation capacity of the reactive power compensation device are used as the control variables, the objective function is to minimize the network loss of distribution network. First, simulation of electric vehicle free charging load; Secondly, the paper established a mathematical model to minimize the loss of distribution network; Finally, based on the 33 node model of distribution network, using Matlab verifyoptimization model effectiveness. The results show that the optimization model can effectively reduce distribution network losses and improve voltage quality.

Key words: Electric vehicle, distribution network, reactive power optimization, Monte Carlo

CLC Number:

U469.72
TM72

Yanjin Zhao,Qinghai Meng,Peng Chen,Jinji Wang. Reactive Power Optimization for Distribution Network with the Electric Vehicle[J]. Journal of Electrical Engineering, 2017, 12(3): 48-52.

Figures/Tables 9

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控制变量	U_g(pu)	T	Q_c(pu)	网损 (pu)
优化前参数	1.05	1	0	0.025 8
优化后参数	1.048 4	1.025 0	0.050 0	0.022 6

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