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1.浙江大学电气工程学院,浙江省杭州市 310027
2.香港中文大学(深圳)理工学院,广东省深圳市 518172
3.智能电网教育部重点实验室(天津大学),天津市 300072
庞凯元(1996—),男,博士研究生,主要研究方向:电力系统恢复、电力信息物理系统优化运行。E-mail:kaiyuan.pang@zju.edu.cn
王一铮(1997—),男,硕士研究生,主要研究方向:综合能源系统规划运行、能量管理。E-mail:yizhengwang@zju.edu.cn
文福拴(1965—),男,通信作者,教授,博士生导师,主要研究方向:电力系统故障诊断与系统恢复、电力市场与电力经济、智能电网与电动汽车。E-mail:fushuan.wen@gmail.com
收稿日期:2020-08-11,
修回日期:2021-01-02,
网络出版日期:2021-01-22,
纸质出版日期:2021-02-10
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庞凯元,王一铮,文福拴等.计及通信失效的输电系统信息物理协同恢复策略[J].电力系统自动化,2021,45(3):58-67.
PANG Kaiyuan,WANG Yizheng,WEN Fushuan,et al.Cyber-Physical Collaborative Restoration Strategy for Power Transmission System with Communication Failures[J].Automation of Electric Power Systems,2021,45(3):58-67.
庞凯元,王一铮,文福拴等.计及通信失效的输电系统信息物理协同恢复策略[J].电力系统自动化,2021,45(3):58-67. DOI: 10.7500/AEPS20200811001.
PANG Kaiyuan,WANG Yizheng,WEN Fushuan,et al.Cyber-Physical Collaborative Restoration Strategy for Power Transmission System with Communication Failures[J].Automation of Electric Power Systems,2021,45(3):58-67. DOI: 10.7500/AEPS20200811001.
为应对输电系统信息物理复合故障,提出了一种计及通信系统失效的信息物理协同恢复策略。首先,基于发电机、电力线路与负荷的故障特性,综合考虑了系统频率、节点电压、线路容量等安全约束,构建了物理系统的恢复模型。然后,提出了一种基于通信网络拓扑的信息系统恢复策略。接着,考虑信息系统故障给发电机出力调节、电力线路投运以及负荷恢复可能造成的延时,建立了物理系统恢复与信息系统恢复的交互模型。经过对潮流线性化处理,上述3个模型被整合为一个混合整数二阶锥规划模型。最后,以IEEE 30节点标准电力系统为基础构建了输电信息物理系统算例,来说明所提方法的可行性与有效性。算例结果表明,所提出的协同恢复策略能有效避免信息物理恢复操作不协调引起的二次停电,从而加快负荷恢复、降低停电损失。
To cope with cyber-physical coupling failures of the power transmission system
a cyber-physical collaborative restoration strategy for a power transmission system subject to communication failures is proposed. First
a restoration model of the physical system is established based on the restoration characteristics of generators
power lines and loads
and with the system security constraints including system frequency
bus voltage
and branch capacity comprehensively considered. Next
a cyber restoration model is proposed based on the network topology of the cyber system. Then
the interactions between physical and cyber systems are modeled by utilizing the operation time delays of power output adjusting of generators
power line restoration
and load pickup due to communication failures. The above three models can be integrated into a mixed-integer second order cone programming (MISOCP) model through the linearization of the power flow. Finally
the feasibility and effectiveness of the proposed method are demonstrated by a sample cyber-physical transmission system modified from the IEEE 30-bus power system. Case Study results indicate that the proposed collaborative restoration strategy manifests its superiority in avoiding additional outages
accelerating system recovery and reducing outage losses.
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