含风电的交直流互联电网AGC两级分层模型预测控制

LIAO Xiaobing

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含风电的交直流互联电网AGC两级分层模型预测控制

更新时间：2025-08-13

- 含风电的交直流互联电网AGC两级分层模型预测控制
- Automation of Electric Power Systems Vol. 42, Issue 8, Pages: 45-50(2018)
- 作者机构：
  
  武汉大学电气工程学院,湖北省,武汉市,430072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
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LIAO Xiaobing. [J]. Automation of electric power systems, 2018, 42(8): 45-50.
DOI：

LIAO Xiaobing. [J]. Automation of electric power systems, 2018, 42(8): 45-50. DOI：

摘要

随着大规模风电接入交直流互联电网，传统的自动发电控制(AGC)方法难以有效地抑制风功率波动带来的频率稳定问题。为此，提出基于两级分层模型预测的AGC策略。该两级分层控制方法在下层对多个区域电网采用分散式模型预测控制；在上层对下层分散的控制器采用动态协调控制方式。以含多电源的两区域交直流互联电网AGC模型为例，仿真结果表明:与集中式模型预测控制和分散式模型预测控制方法相比，文中所提控制策略不仅对频率和联络线功率等具有良好的控制效果，还兼具高可靠性。

Abstract

With the integration of large-scale wind power 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 has not only good control effect on the system frequency and tie-lines power

but also high reliability.

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