考虑虚拟化时延的配电网保护控制微服务调度模型与优化

doi:10.16183/j.cnki.jsjtu.2023.540

上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (11): 1684-1693.doi: 10.16183/j.cnki.jsjtu.2023.540

• 新型电力系统与综合能源 • 上一篇下一篇

考虑虚拟化时延的配电网保护控制微服务调度模型与优化

胡凯强¹, 蔡泽祥¹(), 蔡煜², 屈径¹, 刘媛媛¹

¹ 华南理工大学电力学院, 广州 510641
² 南方电网电力科技股份有限公司, 广州 510080

收稿日期:2023-10-26 修回日期:2024-01-12 接受日期:2024-01-24 出版日期:2025-11-28 发布日期:2025-12-02
通讯作者: 蔡泽祥 E-mail:epzxcai@scut.edu.cn
作者简介:胡凯强(1993—),博士生,从事电力物联网、边缘计算、电力系统保护与控制的研究.
基金资助:
广东省重点领域研发计划(2019B111109002)

Micro-Service Scheduling Model and Optimization for Protection and Control of Distribution Network Considering Virtualization Delay

HU Kaiqiang¹, CAI Zexiang¹(), CAI Yu², QU Jing¹, LIU Yuanyuan¹

¹ School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
² China Southern Power Grid Power Technology Co., Ltd., Guangzhou 510080, China

Received:2023-10-26 Revised:2024-01-12 Accepted:2024-01-24 Online:2025-11-28 Published:2025-12-02
Contact: CAI Zexiang E-mail:epzxcai@scut.edu.cn

摘要/Abstract

摘要：

当前基于微服务及容器架构的配网终端研究忽略了虚拟化时延的影响,限制了其在保护控制等高实时性要求场景下的应用.为此,提出一种面向微服务及容器架构配网保护控制终端的微服务调度框架与策略.分析配网保护与控制终端业务的时延需求与容器虚拟化时延影响,并提出保护控制微服务调度框架;建立微服务调度模型,包括业务的微服务模型、时延模型以及评价模型,提出基于队列状态转换的微服务调度策略;通过算例仿真验证所提调度策略的有效性,并进一步优化.研究结果表明,所提调度策略能够有效避免虚拟化时延的影响,且采用先到先服务算法可以取得更好的整体性能表现.

关键词: 配电网保护与控制, 虚拟化时延, 微服务, 容器, 调度策略

Abstract:

The current research on distribution network terminals based on micro-service and container architecture overlooks the impact of virtualization delay in micro-service scheduling, restricting its application in scenarios with high real-time requirements such as protection and control services. To address this limitation, a micro-service scheduling framework and strategy is proposed for protection and control terminals in distribution networks based on micro-service and container architecture. Initially, an analysis is conducted on the delay performance requirements of protection and control services in the terminal and the impact of virtualization delay, leading to the formulation of a protection and control micro-service scheduling framework. Subsequently, a protection and control micro-service scheduling model is established, encompassing micro-service, delay, and metrics models. A micro-service scheduling strategy based on queue state transitions is then proposed. Finally, extensive case simulations are conducted, where the effectiveness of the proposed scheduling strategy is validated and further optimization of the scheduling strategy is performed. The results indicate that the scheduling strategy proposed can effectively avoid the impact of virtualization delay, and the adoption of first-come-first-serve (FCFS) algorithm achieves better overall performance.

Key words: protection and control for distribution network, virtualization delay, micro-service, containers, scheduling strategy

中图分类号:

TM769

胡凯强, 蔡泽祥, 蔡煜, 屈径, 刘媛媛. 考虑虚拟化时延的配电网保护控制微服务调度模型与优化[J]. 上海交通大学学报, 2025, 59(11): 1684-1693.

HU Kaiqiang, CAI Zexiang, CAI Yu, QU Jing, LIU Yuanyuan. Micro-Service Scheduling Model and Optimization for Protection and Control of Distribution Network Considering Virtualization Delay[J]. Journal of Shanghai Jiao Tong University, 2025, 59(11): 1684-1693.

图/表 6

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业务名称	微服务组成	编号	t_E/ms	截止时间/s	请求方式	业务类型
保护业务(s¹)	电流数据采集	${X}_{11}^{1}$	0.01	0.001	周期(1 ms)	I类
	重采样	${X}_{12}^{1}$	0.02
	起动判断	${X}_{13}^{1}$	0.05
	傅里叶计算	${X}_{14}^{1}$	0.1
	保护逻辑判断	${X}_{15}^{1}$	0.1
平台业务(s²)	三遥服务	${X}_{11}^{2}$	0.2	1	周期(1 s)	I类
	录波	${X}_{12}^{2}$	0.5
	事件顺序记录	${X}_{13}^{2}$	0.5
	定值服务	${X}_{14}^{2}$	0.2
	拓扑解析	${X}_{15}^{2}$	5.0
	IEC104服务	${X}_{16}^{2}$	0.2
电压控制(s³)	电压数据采集	${X}_{11}^{3}$	0.01	下次业务到达时间	随机触发	II类
	无功电压报文解析	${X}_{21}^{3}$	0.1
	标幺值计算	${X}_{12}^{3}$	0.1
	状态转移矩阵计算	${X}_{13}^{3}$	2.0
	本地吸收无功计算	${X}_{14}^{3}$	0.8
	逆变器安装容量计算	${X}_{24}^{3}$	0.8
	一致性变量计算	${X}_{15}^{3}$	2.0
	无功电压报文发送	${X}_{25}^{3}$	0.5
	逆变器控制	${X}_{16}^{3}$	0.2
负荷控制(s⁴)	负荷报文解析	${X}_{11}^{4}$	0.1	下次业务到达时间	随机触发	II类
	实时电价解析	${X}_{21}^{4}$	0.1
	峰谷电价分析	${X}_{12}^{4}$	0.5
	负荷预测	${X}_{22}^{4}$	4.0
	电价弹性矩阵	${X}_{13}^{4}$	0.8
	负荷响应量计算	${X}_{14}^{4}$	0.8
	负荷控制	${X}_{15}^{4}$	0.2

场景	算法	平均响应时间/ms	按时完成率/%
低并发	S1	0.28	100
	S2	0.28	100
	S3	0.28	100
中并发	S1	0.28	100
	S2	0.28	100
	S3	0.28	100
高并发	S1	0.28	100
	S2	0.28	100
	S3	0.28	100

考虑虚拟化时延的配电网保护控制微服务调度模型与优化

Micro-Service Scheduling Model and Optimization for Protection and Control of Distribution Network Considering Virtualization Delay

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