考虑极端场景的输电-通信网络协同鲁棒扩展规划方法

doi:10.12204/j.issn.1000-7229.2022.10.012

电力建设 ›› 2022, Vol. 43 ›› Issue (10): 121-135.doi: 10.12204/j.issn.1000-7229.2022.10.012

考虑极端场景的输电-通信网络协同鲁棒扩展规划方法

张艺伟(), 刘文霞(), 张帅(), 万海洋(), 黄少锋()

新能源电力系统国家重点实验室(华北电力大学), 北京市102206

收稿日期:2022-04-22 出版日期:2022-10-01 发布日期:2022-09-29
通讯作者: 刘文霞 E-mail:z_yi_wei@163.com;liuwenxia001@163.com;zsrfkl@ncepu.edu.cn;1398024216@163.com;huangsfncepu@163.com
作者简介:张艺伟(1994),男,博士研究生,主要研究方向为信息物理系统脆弱性、韧性分析,E-mail: z_yi_wei@163.com;
张帅(1994),男,博士研究生,主要研究方向为综合能源系统可靠性评估,E-mail: zsrfkl@ncepu.edu.cn;
万海洋(2000),男,博士研究生,主要研究方向为城市电力系统韧性分析等,E-mail: 1398024216@163.com;
黄少锋(1958),男,教授,博士生导师,研究方向为电力系统继电保护等,E-mail: huangsfncepu@163.com。
基金资助:
国家重大科技专项(2020YFC0827001)

Joint Robust Expansion Planning of Transmission Network and Communication Network Considering Extreme Scenarios

ZHANG Yiwei(), LIU Wenxia(), ZHANG Shuai(), WAN Haiyang(), HUANG Shaofeng()

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing 102206, China

Received:2022-04-22 Online:2022-10-01 Published:2022-09-29
Contact: LIU Wenxia E-mail:z_yi_wei@163.com;liuwenxia001@163.com;zsrfkl@ncepu.edu.cn;1398024216@163.com;huangsfncepu@163.com
Supported by:
National Science and Technology Major Project(2020YFC0827001)

摘要/Abstract

摘要：

为了在满足经济性前提下,尽可能降低极端场景下电力和通信网络故障耦合引起的大面积停电风险,考虑双网结构融合和功能耦合特征,提出了信息物理协同双层(主层、子层)鲁棒扩展规划模型。首先,以投资经济性和极端场景下失负荷损失成本最小为目标,建立双网线路和通信业务路由协同优化的主层模型;其次,在子层模型中,计及线路结构耦合引起的共因失效模式,构建了电力/通信线路多重故障集,并考虑通信失效对电力系统应急调度的影响,基于max-min准则建立最恶劣极端场景最小失负荷损失成本计算模型;随后,采用列和约束生成算法实现两层模型解耦求解;最后,基于IEEE 14 节点信息物理系统进行仿真分析,结果表明,提出的协同规划模型能以经济合理的投资优化双网结构,降低通信系统故障级联影响,提高耦合系统面对极端场景的抵抗力。

关键词: 电力信息物理系统, 极端场景, 协同规划, 鲁棒优化

Abstract:

In order to meet the economic premise and minimize the risk of large area outages caused by the coupling of failures in power and communication networks in extreme scenarios, this paper proposes a robust extended planning model with two layers (main layer and sub-layer) of cyber-physical cooperation, taking into account the structural convergence and functional coupling characteristics of the dual network. Firstly, the main-layer model for cooperative optimization of dual-network line and communication service routing is established with the objectives of economy and minimum loss of load under extreme scenarios; in the sub-layer model, the multiple fault sets of power/communication lines are constructed taking into account the common cause failure modes caused by line structure coupling, and the impact of communication failure on the emergency dispatch of power system is considered, and the calculation model of minimum loss of load under the worst extreme scenarios is established based on the max-min criterion. Then, the column and constraint generation algorithm is used to decouple the two-layer model. Finally, simulation analysis is conducted on the basis of IEEE 14-node information physical system. The results show that the collaborative planning model proposed in this paper can optimize the dual-network structure with economical and reasonable investment, reduce the impact of fault cascade in communication system, and improve the resistance of the coupled system to face extreme events.

Key words: electric cyber-physical system, extreme scenarios, joint expansion planning, robust optimization

中图分类号:

TM73

张艺伟, 刘文霞, 张帅, 万海洋, 黄少锋. 考虑极端场景的输电-通信网络协同鲁棒扩展规划方法[J]. 电力建设, 2022, 43(10): 121-135.

ZHANG Yiwei, LIU Wenxia, ZHANG Shuai, WAN Haiyang, HUANG Shaofeng. Joint Robust Expansion Planning of Transmission Network and Communication Network Considering Extreme Scenarios[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(10): 121-135.

图/表 18

图1 电力信息物理系统典型结构

Fig.1 Typical structure of electric cyber-physical system

图2 TCCRP模型框架

Fig.2 Framework of TCCRP model

图3 应急调度策略制定过程

Fig.3 Formulation process of emergency dispatch strategy

图4 基于C&CG算法的模型求解流程

Fig.4 Process of the model based on the C&CG

图5 IEEE 14节点系统电网/通信网拓扑

Fig.5 Topology of IEEE 14-node power and communication network

表1 N-3故障场景下方案一和方案二仿真结果

Table 1 Simulation results under N-3 failure scenarios of plan 1 and plan 2

图6 协同规划网架结构及最劣极端场景

Fig.6 Collaborative planning topology and the worst extreme scenarios

图7 独立规划网架结构及最劣极端场景

Fig.7 Independently planning grid structure and the worst extreme scenario

图8 umax=2时的协同规划网架结构及最劣场景

Fig.8 Collaborative planning topology and the worst extreme scenarios while umax=2

表2 不同最大毁伤线路数量下TCCRP仿真结果

Table 2 TCCRP simulation results under different maximum of damaged lines

图9 umax=3时一般故障场景故障后果对比

Fig.9 Comparison of failure consequences in general scenarios while umax=3

表B1 IEEE 14 ECPS可扩建电力线路参数

Table B1 Expandable power lines in IEEE 14-node ECPS

表B2 IEEE 14 ECPS可扩建通信链路参数

Table B2 Parameters of expandable communication lines in IEEE 14-node ECPS

表B3 日内24 h负荷分布

Table B3 Table B3 24-hour load distribution

表B4 发电机组成本系数

Table B4 The cost factor of generators

表C1 方案一业务路由分布

Table C1 Routing distribution of scheme 1

表C2 方案二业务路由分布

Table C2 Table C2 Routing distribution of scheme 2

表C3 umax=2时通信网的业务路由分布

Table C3 Table C3 Routing distribution while umax=2

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考虑极端场景的输电-通信网络协同鲁棒扩展规划方法

Joint Robust Expansion Planning of Transmission Network and Communication Network Considering Extreme Scenarios

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