Two-level Hierarchical Model Predictive Control for AGC of AC/DC Interconnected Power Grid with Wind Power Integration

被引：0
|
作者：
Liao X. [1 ]
Liu K. [1 ]
Wang N. [2 ]
Ma Y. [2 ]
Chen Z. [2 ]
Ding K. [2 ]
Zhou Q. [2 ]
Qin L. [1 ]
机构：
[1] School of Electrical Engineering, Wuhan University, Wuhan
[2] Wind Technology Center of State Grid Gansu Electric Power Corporation, Lanzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2018年 / 42卷 / 08期
关键词：
AC/DC interconnected power grid; Frequency stability; Model predictive control; Two-level hierarchical scheme; Wind power;
D O I：
10.7500/AEPS20170908006
中图分类号：
学科分类号：
摘要：
With the large-scale wind power integrated into AC/DC interconnected power grid, the traditional automatic generation control (AGC) strategies are difficult to effectively suppress the frequency stability caused by the fluctuation of wind power. Therefore, a new AGC strategy based on two-level hierarchical model predictive control is proposed. The two-level hierarchical control scheme adopts decentralized model predictive controllers for multiple regional power grids in the lower layer, and the centralized controller in the upper layer adopts dynamic coordination mechanism for the decentralized controllers. Taking the AGC model of two-area AC/DC interconnected power grid with multi-source power generation as an example, the simulation results show that compared with the centralized model predictive control method and decentralized model predictive control method, the proposed control strategy not only has good control effect on the system frequency and tie-lines power, but also has high reliability. © 2018 Automation of Electric Power Systems Press.
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页码：45 / 50and73
页数：5028
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