考虑风电机组虚拟惯量的新型电力系统频率分布式模型预测控制策略

doi:10.3969/j.issn.2097-0706.2022.10.004

综合智慧能源 ›› 2022, Vol. 44 ›› Issue (10): 25-32.doi: 10.3969/j.issn.2097-0706.2022.10.004

考虑风电机组虚拟惯量的新型电力系统频率分布式模型预测控制策略

屈涛涛¹(), 綦晓¹^,^*(), 蒋文珂¹(), 杜鸣²(), 潘岩³()

1. 暨南大学能源电力研究中心，广东珠海 519070
2. 华北电力大学国家能源发展战略研究院，北京 102206
3. 长沙有色冶金设计研究院有限公司研发中心，长沙 410019

收稿日期:2022-05-05 修回日期:2022-07-26 出版日期:2022-10-25 发布日期:2022-12-03
通讯作者: 綦晓
作者简介:屈涛涛（1998），男，在读硕士研究生，从事分布式风储协同控制方面的研究，qutaotao@stu2020.jnu.edu.cn
蒋文珂（1997），男，在读硕士研究生，从事电力系统调频控制与优化方面的研究，chiang@stu2021.jnu.edu.cn
杜鸣（1992），男，博士，从事电力系统调频控制技术方面的研究，zjajdming@163.com
潘岩（1990），男，工程师，博士，从事自动控制应用方面的研究，panyan_cinf@163.com
基金资助:
国家重点研发计划项目(2020YFB1713800);广东省基础与应用基础研究基金项目(2021A1515110016);中国能源建设集团广东省电力设计研究院有限公司科技项目(ZCNF00314-S-CT0016);中央高校基本科研业务费青年项目(21620336)

Frequency distributed model predictive control strategy for the new power system considering virtual inertia of wind turbines

QU Taotao¹(), QI Xiao¹^,^*(), JIANG Wenke¹(), DU Ming²(), PAN Yan³()

1. Electricity Research Center， Jinan University， Zhuhai 519070，China
2. National Institute of Energy Development Strategy，North China Electric Power University，Beijing 102206，China
3. Research and Development Center， Changsha Nonferrous Metallurgy Design and Research Institute Company Limited， Changsha 410019，China

Received:2022-05-05 Revised:2022-07-26 Online:2022-10-25 Published:2022-12-03
Contact: QI Xiao

摘要/Abstract

摘要：

“双碳”目标下，大规模风电并网对新型电力系统频率安全造成严重威胁。风机虚拟惯量控制和模型预测频率控制是解决上述问题的主要研究方向，但当前模型预测频率控制研究中的预测模型往往未考虑虚拟惯量控制过程，致使预测精度不足，频率控制受到干扰。为此，提出了一种考虑风机虚拟惯量的频率分布式模型预测控制策略。首先，设计虚拟惯量控制环节以发挥风电机组自身的调频能力；其次，为解决风机虚拟惯量控制导致系统等效惯量变化的问题，重构了考虑风机虚拟惯量的调频预测模型；最后，根据重构模型设计频率分布式模型预测控制器，并在Matlab/Simulink中建立四区域互联电力系统模型验证其有效性。

关键词: “双碳”目标, 虚拟惯量, 分布式模型预测控制, 新型电力系统, 负荷频率控制, 风电功率

Abstract:

Under the "dual carbon" target，large-scale wind power grid connection poses a serious threat to frequency safety of new power systems. Virtual inertia control and model predictive frequency control are the main research directions to solve the problem above. However， in the current research on model prediction frequency control，the virtual inertia control process is seldom taken into account in the prediction model， resulting in insufficient prediction accuracy and interference in frequency control. Thus，a frequency distributed model predictive control strategy considering virtual inertia control of wind turbines is proposed.Virtual inertia control is designed to give play to the frequency modulation capability of wind turbines. To deal with the variation of system equivalent inertia led by virtual inertia control， the frequency control prediction model considering virtual inertia of wind turbines is reconstructed. Finally， a frequency distributed model predictive controller is designed according to the reconstructed model， and its effectiveness is verified by the model of a four-area interconnected power system established in Matlab/Simulink.

Key words: "dual carbon" target, virtual inertia, distributed model predictive control, new power system, load frequency control, wind power

中图分类号:

TK89：TP274

屈涛涛, 綦晓, 蒋文珂, 杜鸣, 潘岩. 考虑风电机组虚拟惯量的新型电力系统频率分布式模型预测控制策略[J]. 综合智慧能源, 2022, 44(10): 25-32.

QU Taotao, QI Xiao, JIANG Wenke, DU Ming, PAN Yan. Frequency distributed model predictive control strategy for the new power system considering virtual inertia of wind turbines[J]. Integrated Intelligent Energy, 2022, 44(10): 25-32.

图/表 14

图1

图2

图3

图4

表1

仿真参数

系统	参数
风电机组模型	$v n$ =12 m/s; $v 0$ =11 m/s; $ω n$ =1.091（标幺值）； $λ n$ =8.1; $J w$ =10.38; $F$ =0.01; $T e$ =0.02; $C p, n$ =0.44; $K c$ =0.578 7; $K p$ =4; $K d$ =1
电力系统调频模型	$T r$ =7 s; $T t$ =0.3 s; $T g$ =0.2 s; $K r$ =0.3; $R$ =0.02; $M$ =25 ; $D$ =0.5; $T 12$ =0.2; $T 23$ =0.15; $T 34$ =0.25; $T 41$ =0.21

表1

图5

图6

表2

图7

图8

图9

图10

图11

图12

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控制策略	最大频率偏差/Hz	调节时间/s
考虑VIC的DMPC	-0.003 2	6
常规DMPC	-0.006 4	14

考虑风电机组虚拟惯量的新型电力系统频率分布式模型预测控制策略

Frequency distributed model predictive control strategy for the new power system considering virtual inertia of wind turbines

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