Reliable load frequency control(LFC) is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper prese...Reliable load frequency control(LFC) is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper presents a distributed model predictive control(DMPC) based on coordination scheme.The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The generation rate constraints(GRCs), load disturbance changes, and the wind speed constraints are considered. Furthermore, the DMPC algorithm may reduce the impact of the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and without the participation of the wind turbines is carried out. Analysis and simulation results show possible improvements on closed–loop performance, and computational burden with the physical constraints.展开更多
Risk assessment is essential for the safe and reliable operation of cyber physical power system. Traditional security risk assessment methods do not take integration of cyber system and physical system of power grid i...Risk assessment is essential for the safe and reliable operation of cyber physical power system. Traditional security risk assessment methods do not take integration of cyber system and physical system of power grid into account. In order to solve this problem, security risk assessment algorithm of cyber physical power system based on rough set and gene expression programming is proposed. Firstly, fast attribution reduction based on binary search algorithm is presented. Secondly, security risk assessment function for cyber physical power system is mined based on gene expression programming. Lastly, security risk levels of cyber physical power system are predicted and analyzed by the above function model. Experimental results show that security risk assessment function model based on the proposed algorithm has high efficiency of function mining, accuracy of security risk level prediction and strong practicality.展开更多
Shanghai Electric (Group) Corporation (SEC) is a large-scale industrial enterprise group in China engaged in design and manufacturing of power generation equipment, power transmission and distribution equipment and he...Shanghai Electric (Group) Corporation (SEC) is a large-scale industrial enterprise group in China engaged in design and manufacturing of power generation equipment, power transmission and distribution equipment and heavy machinery equipment. SEC is separately catalogued in the program of the State Planning Commission. Based on its main economic norms, SEC is listed as one of the 500展开更多
随着智能电网快速发展与应用,安全高效地实现电力设备信息采集与认证是亟待解决的问题。为此,提出一种基于射频识别(radio frequency identification,RFID)的电力设备认证方案,实现电力设备与采集终端的双向认证,提高了电力设备信息采...随着智能电网快速发展与应用,安全高效地实现电力设备信息采集与认证是亟待解决的问题。为此,提出一种基于射频识别(radio frequency identification,RFID)的电力设备认证方案,实现电力设备与采集终端的双向认证,提高了电力设备信息采集安全性,降低了设备标签计算复杂度。该方案具有不可追踪性、相互认证性,可以抵抗重放攻击和拒绝服务攻击等,具有较高安全性。展开更多
基金supported by National Natural Science Foundation of China(61533013,61273144)Scientific Technology Research and Development Plan Project of Tangshan(13130298B)Scientific Technology Research and Development Plan Project of Hebei(z2014070)
文摘Reliable load frequency control(LFC) is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper presents a distributed model predictive control(DMPC) based on coordination scheme.The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The generation rate constraints(GRCs), load disturbance changes, and the wind speed constraints are considered. Furthermore, the DMPC algorithm may reduce the impact of the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and without the participation of the wind turbines is carried out. Analysis and simulation results show possible improvements on closed–loop performance, and computational burden with the physical constraints.
基金support by National Natural Science Foundation of China(61202354,51507084)Nanjing University of Post and Telecommunications Science Foundation(NUPTSF)(NT214203)
文摘Risk assessment is essential for the safe and reliable operation of cyber physical power system. Traditional security risk assessment methods do not take integration of cyber system and physical system of power grid into account. In order to solve this problem, security risk assessment algorithm of cyber physical power system based on rough set and gene expression programming is proposed. Firstly, fast attribution reduction based on binary search algorithm is presented. Secondly, security risk assessment function for cyber physical power system is mined based on gene expression programming. Lastly, security risk levels of cyber physical power system are predicted and analyzed by the above function model. Experimental results show that security risk assessment function model based on the proposed algorithm has high efficiency of function mining, accuracy of security risk level prediction and strong practicality.
文摘Shanghai Electric (Group) Corporation (SEC) is a large-scale industrial enterprise group in China engaged in design and manufacturing of power generation equipment, power transmission and distribution equipment and heavy machinery equipment. SEC is separately catalogued in the program of the State Planning Commission. Based on its main economic norms, SEC is listed as one of the 500
文摘随着智能电网快速发展与应用,安全高效地实现电力设备信息采集与认证是亟待解决的问题。为此,提出一种基于射频识别(radio frequency identification,RFID)的电力设备认证方案,实现电力设备与采集终端的双向认证,提高了电力设备信息采集安全性,降低了设备标签计算复杂度。该方案具有不可追踪性、相互认证性,可以抵抗重放攻击和拒绝服务攻击等,具有较高安全性。
