基于云边协同架构的海上风电场公共连接点电压控制方法

doi:10.11985/2023.01.019

摘要/Abstract

摘要：

针对海量风电场大量风电机组无功功率输出波动性带来的公共连接点电压波动问题，提出一种基于云边协同架构的分散式电压控制方法。首先，在云边协同架构中，若干个风电发电机组划分为集群，并在各集群内配置边缘计算设备，由云端控制器统一调控边缘计算设备。然后，在云端控制中心，通过构造Lyapunov泛函推导了参考无功输出功率对电压波动具有H∞影响的最优设定值，生成各风电机组集群的参考无功输出功率。最后，在边缘侧使用基于共识算法的分布式协同调控策略，实现底层各风力发电机组的功率实时控制。基于Simulink的风电场仿真试验结果表明，与传统集中式控制方法以及完全分散式一致性控制方法相比，所提方法的超调量大约在38%，响应速度较长，具有更好的控制性能。

关键词: 海上风电场, 公共连接点, 电压控制, 云边协同, 共识算法, Lyapunov泛函, 参考无功输出功率

Abstract:

Aiming at the voltage fluctuation of common connection point caused by the reactive power output fluctuation of a large number of wind turbines in a large number of wind farms, a distributed voltage control method based on cloud edge collaborative architecture is proposed. Firstly, in the cloud side collaborative architecture, several wind turbines are divided into clusters, and edge computing devices are configured in each cluster. The right cloud controller regulates and controls the edge computing devices uniformly. Then, in the cloud control center, the optimal set value of H∞ effect of reference reactive power output on voltage fluctuation is derived by constructing Lyapunov functional, and the reference reactive power output of each wind turbine cluster is generated. Finally, on the edge side, the distributed cooperative control strategy based on consensus algorithm is used to realize the real-time power control of the underlying wind turbines. The simulation results of wind farm based on Simulink show that the overshoot of the proposed method is about 38%, the response speed is longer and the control performance is better than that of the traditional centralized control method and the fully decentralized consistent control method.

Key words: Offshore wind farm, common connection point, voltage control, cloud side coordination, consensus algorithm, Lyapunov functional, reference reactive power output

中图分类号:

TM614

周伟波, 黄伟. 基于云边协同架构的海上风电场公共连接点电压控制方法[J]. 电气工程学报, 2023, 18(1): 169-180.

ZHOU Weibo, HUANG Wei. Voltage Control Method for Common Connection Point of Offshore Wind Farm Based on Cloud Edge Collaborative Architecture[J]. Journal of Electrical Engineering, 2023, 18(1): 169-180.

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参数		数值
各层的采样时间/s	终端本地控制器	1×10^-4
	边缘侧控制器	0.15
	云端控制器	0.55
网络参数	系统频率/Hz	60
	变换器	6 kV/35 kV
	线路电阻/(Ω/km)	0.105
	线路电感/(mH/km)	0.068
	衰减系数	27

方案	评价指标
方案	超调量(%)	峰值时间/s	恢复时间/s
文献[7]	39.08	10	37
文献[8]	36.64	12	31
所提方法	37.51	4	23

方案	评价指标
方案	超调量(%)	峰值时间/s	恢复时间/s
文献[11]	51.99	237	359
文献[13]	48.25	193	332
所提方法	38.76	168	215

方案	评价指标
方案	超调量(%)	峰值时间/s	恢复时间/s
文献[11]	45.01	42	89
文献[13]	42.36	38	74
所提方法	37.99	25	62