The smart substation communication network is the basis for information sharing of various devices in the substation. Its operation status has an important impact on the safe operation of the substation and even the p...
The smart substation communication network is the basis for information sharing of various devices in the substation. Its operation status has an important impact on the safe operation of the substation and even the power grid. Therefore, real-time status monitoring of the smart substation communication network is becoming more and more important. Aiming at the problems of single dimension, insufficient real-time performance and manual fault analysis in existing substation communication network state monitoring technology, this paper proposes a method of smart substation communication network state monitoring and fault prediction based on network communication quality. This paper uses switch ACL technology and coloring technology to obtain communication quality indexes such as bandwidth utilization, delay, and packet loss rate in real time; based on a multi-dimensional evaluation algorithm, a comprehensive evaluation model of network communication quality is constructed; the model of the relationship between abnormal network communication quality and failures is established. Finally, real-time monitoring of network communication quality and fault prediction are realized. The application analysis in a typical 110 kV substation shows that this method can effectively evaluate the network communication quality and accurately predict failures, and can guide operationer and maintenaner to quickly restore the normal operation of the communication network.
In [1], the complete affiliation of Yusheng Xue is as follows: Y. Xue (corresponding author) is with the School of Electrical Engineering, Southeast University, Nanjing, China, and he is also with Stategrid Electric ...
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In [1], the complete affiliation of Yusheng Xue is as follows: Y. Xue (corresponding author) is with the School of Electrical Engineering, Southeast University, Nanjing, China, and he is also with Stategrid Electric Power Research Institute (NARI Group Corporation), Nanjing, China, and Statekeylaboratory of smartgridprotection and Operation control, Nanjing, China.
During the transition period of UHV AC/DC power grid construction in China, the dependence of the secure and reliable operation of power grids on the security and stability control system (SSCS) has been greatly enhan...
During the transition period of UHV AC/DC power grid construction in China, the dependence of the secure and reliable operation of power grids on the security and stability control system (SSCS) has been greatly enhanced. SSCS has shown a trend of large-scale, wide-area and complex in recent years. Considering the high reliability requirements of large-scale SSCS, the necessity of redundant configuration of important sites is first outlined in this paper. Moreover, the reliability indices including mis-operation rate and rejection rate of SSCS with and without remote redundancy are analyzed as well as the relationship between reliability indices and failure rate of single device. The key research directions of the reliability research of the SSCS under the new situation are further pointed out.
The regional integrated energy system is an effective way to realize energy cascade utilization and improve the flexibility and economy of the load side operation. Combine cooling heating and power (CCHP) system is a ...
The regional integrated energy system is an effective way to realize energy cascade utilization and improve the flexibility and economy of the load side operation. Combine cooling heating and power (CCHP) system is a typical form of integrated energy systems. However, due to heat-load-based operation mode, the peak modulation capacity of CCHP units and the accommodation of renewable energy are limited. This paper explores methods of increasing the flexibility and economy of the system. An optimal scheduling model is proposed for integrated energy systems containing an electric heat pump, considering heating network characteristics. Simulation results show that the electric heat pump can help the system realize heat-and-power decoupling, improve the flexibility of the system and reduce the operating cost of the system.
近年来，混合多端直流输电系统快速发展。但是，在混合直流系统中应用的电压源换流器（voltage-source converter, VSC）出口不再需要直流滤波器。此外，考虑到其直流故障电流可被换流器自身有效抑制，直流线路两端也不再需要安装限流电抗器。这意味着线路两端边界缺失，导致应用于常规高压直流输电（line commutated converter based high-voltage direct current, LCC-HVDC）系统和柔性直流（VSC-HVDC）电网的单端量保护均无法适用于混合多端直流输电系统。为此，本文提出了一种适用于混合多端直流输电系统的单端量保护新原理，该方法主要基于暂态信息和主动注入思想实现故障辨识。与应用于LCCHVDC和VSC-HVDC系统的单端量保护相比，所提方法无需依赖线路两端的边界元件，因此更加适用于混合多端直流系统。大量的仿真算例充分验证了所提方法的可行性和优越性。
In this paper, the non-intrusive monitoring and disaggregation method of industrial load based on Petri net theory is studied. First, the basic concepts of Petri nets are introduced. On the basis of prototype Petri ne...
In this paper, the non-intrusive monitoring and disaggregation method of industrial load based on Petri net theory is studied. First, the basic concepts of Petri nets are introduced. On the basis of prototype Petri nets, time factor is added. Then, the Petri net with time factor is combined with industrial load production process. Considering the production sequence, start-stop time and production time constraints of industrial load, a non-intrusive monitoring and disaggregation model of industrial load is constructed. Finally, according to the actual production process of industrial load, the electricity consumption situation of each production link is calculated, and the detailed analysis results of industrial user's electricity consumption behavior are obtained. The research could provide an important reference for realization of friendly interaction between industrial users and power grid.
With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of th...
With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of the measurement method. For this problem, this paper proposes a wide-frequency harmonic signal measurement method based on window interpolation FFT and adaptive neural network. After the window function is selected, the frequency of harmonic is estimated by double-spectrum-line interpolation algorithm based on three-term third derivative Nuttall window, and then the smoothed frequencies are input into RLS-Adaline neural network to estimate the amplitude and phase of each harmonic. The simulation results show that the proposed method has higher measurement accuracy and stability under few data conditions and low signal-to-noise ratios than conventional window interpolation algorithms. High accuracy measurement of harmonics with short time window in the range of 0∼2.5kHz is effectively realized.
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