计及出租车充电行为的微电网能量管理研究

doi:10.19562/j.chinasae.qcgc.2022.04.008

Abstract

Abstract:

In view of the challenges to the economy and stability of micro-grid’s operation brought about by the uncertainty of renewable energy electricity generation and electric vehicles’ batteries connected to the grid， the economic operation model of micro-grid is constructed in this paper， on the basis of setting different charging scenes with consideration of the uncertainty of photovoltaic electricity generation and taxi charging. A simulation is conducted by adopting the hybrid particle swarm optimization algorithm to solve out the optimum power output of each distributed power source and the lowest operation cost of system in different charging scenes， with minimizing the total cost of electricity generation in micro-grid as objective， and the power limits of each distributed power source and power balance as constraints. The results of optimization show that comprehensively optimizing the charging behavior can enhance the dispatchability of the isolated micro-grid， reducing the operation cost of the micro-grid by 21.2%.

Key words: electric vehicles, micro-grid, economy, charging scenes

Yu Chen,Xiaogang Wu,Jiuyu Du,Jinlei Sun. Research on Energy Management of Microgrid with Consideration of Taxi Charging Behavior[J].Automotive Engineering, 2022, 44(4): 525-534.

Figures/Tables 19

References 21

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装机	容量	约束上限	约束下限
太阳能光伏发电	100 kW	100 kW	0
微型燃气轮机	150 kW	150 kW	10 kW
燃料电池	100 kW	60 kW	10 kW
储能电池	100 kW·h	SOCmax=0.8	SOCmin=0.4
出租车	20 辆	45 kW	45 kW

充电场景	系统成本/元		下降率/%
充电场景	未经济性优化	经济性优化后	下降率/%
场景一	3 376.1	2 639.2	21.8
场景二	3 389.0	2 768.2	18.3
场景三	3 412.2	2 764.3	19.0
场景四	3 371.6	2 673.1	20.7
场景五	3 314.5	2 611.8	21.2
场景六	4 047.2	3 360.5	17.0

充电场景	出租车平均空载率	负荷峰谷差率
一	0.381	0.577
二	0.328	0.644
三	0.213	0.551
四	0.377	0.018
五	0.254	0.283
六	0.327	0.318

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Research on Energy Management of Microgrid with Consideration of Taxi Charging Behavior

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