Welcome to Francis Academic Press

Academic Journal of Engineering and Technology Science, 2019, 2(3); doi: 10.25236/AJETS.020062.

Deepening research on grid system complexity


Li Meijun, Wang Miao, Li Shuai, Chen Youhui

Corresponding Author:
Li Meijun

State Grid Liaoning Electric Power CO, LTD. Power Electric Research Institute, Shenyang, Liaoning110015, China


Due to the complexity and particularity of the power grid system, a large amount of information resources need to be transmitted and processed, and the transmission and processing results are transmitted to the management analysis department in time through the communication facilities. Therefore, it is often easy to get into a paralyzed state. The research and development of power information technology has changed this traditional situation. The current power system combines power information technology with power communication technology and has achieved good results.


power system; information communication

Cite This Paper

Li Meijun, Wang Miao, Li Shuai, Chen Youhui. Deepening research on grid system complexity. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 3: 116-121. https://doi.org/10.25236/AJETS.020062.


[1] Hongga Zhao. A New State Estimation Model of Utilizing PMU Measurements. Power System Technology, 2006.
[2] Dept. of Mechatron, Gwangju Inst. of Sci. feTechnol, Gwangju, South Korea Power system state estimation with fusion method. Computer and Automation Engineering (ICCAE). 2010(26). (71-76) .
[3] Wang Yong. State estimation based on phase angle measurement technology [D]. Hohai University. 2003.
[4] Zhao Junbo, Zhang Gexiang, Huang Yanquan. Current Status and Prospects of State Estimation of Power System with New Energy[J]. Electric Power Automation Equipment, 2014, 3(5): 7- 20, 34.
[5] PHAKE A G, BI T S. Phasor measurement units, WAMS, and their applications in protection and control of power systems [J]. Journal of Modern Power System and Clean Energy, 2018, 6(4): 619-629.
[5] Guo Wei, Wang Peng, Lin Jiaying, et al. Equivalent and local voltage control of distribution network model based on PMU measurement[J]. Electric Power System and Automation, 2019, 31(3): 61-68 .
[6] Bao Wei, Jiang Xuedong, Chen Liyue, et al. Optimal configuration of PMU for power system with 0-1 linear programming considering maximum redundancy[J]. Power System Technology, 2014, 38(8): 2051-2056.
[7] MAZHARI SM, MONSEF H, LESANI H, et al. A multi-objective PMU placement method considering measurement redundancy and observability value under contingencies [J]. IEEE Transactions on Power Systems, 2013, 28(3): 2136-2146 .
[8] AHMADI A, ALINEJAD BEROMI Y, MORADI M. Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy[J]. Expert Systems with Applications, 2011, 38(6): 7263-7269.
[9] Zhao Hui, Zhao Shaohua, Wang Hongjun, et al. Research on Optimal Configuration of PMU Based on Piecewise Iterative Method[J]. Journal of Electric Measurement & Instrumentation, 2016, 53(13): 14-18.