基于稳定经济模型预测控制的集群电动汽车辅助电网调频控制策略

doi:10.19595/j.cnki.1000-6753.tces.220538

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Abstract Aiming at the problems of ignoring the differences among individuals for electric vehicles (EV) aggregation modeling and difficulty in balancing economy and stability simultaneously for frequency regulation assisted with EV, firstly, a transition probability calculation method considering the difference of battery capacity for the dynamic change process of EV was proposed based on Markov theory and the transition probability distribution function of the state of charge is derived. An aggregation model of EV was established and a combined frequency regulation model of typical two-area interconnection system participated by EV was built. Then, the dual-mode frequency regulation scenario based on the Lyapunov-based economic model predictive control was proposed. The adjustment cost through economic model prediction was reduced by Mode 1, and the system stability is guaranteed by Mode 2 using the auxiliary controller. Finally, the simulation results show that the aggregation model has high precision, and the control strategy can optimize the economy in regulation process while maintaining frequency stability.

Key words： Electrics vehicle transition probability aggregation model load frequency control Lyapunov-based economic model predictive control

Received: 07 April 2022

PACS:	TM73
	U491.8

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	Yu Yang
	Zhang Ruifeng
	Lu Wentao
	Mi Zengqiang
	Cai Xinlei

Cite this article:

Yu Yang,Zhang Ruifeng,Lu Wentao等. Auxiliary Frequency Regulation Control Strategy of Aggregated Electric Vehicles Based on Lyapunov-Based Economic Model Predictive Control[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 6025-6040.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.220538 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I23/6025

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