Power System Research Institute
Liang Jun
Published: September 28, 2016 15:50    Author:    点击:[]

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Power System Research Institute

Academic identity

Special Government Allowance Expert from the State Council

Young and middle-aged experts with outstanding contributions in Shandong Province

Work experience

2006PresentSchool of Electrical Engineering, Shandong UniversityProfessor, doctoral supervisor

1998-2006 Shandong University of Technology, Shandong UniversityProfessor

1991-1998 Shandong University of TechnologyAssociate Professor

1988-1991 Shandong University of TechnologyLecturer

1985-1988 Shandong University of TechnologyMaster of Engineering

1978-1982 Shandong Institute of TechnologyBachelor of Engineering

Personal information

Name

Liang Jun

Gender

Male

Date of birth

1956.8

Place of Origin

Longkou, Shandong

Professional title

Professor/Doctoral Supervisor

Telephone

0531-81696119

Email

liangjun@sdu.edu.cn

Research direction

Power system operation and control, power system automation

Academic works (representative works in the past five years)

[1]  Wang Chengfu, Liang Jun, Zhang Li,  Han Xueshan. Wind farm reactive power and voltage control strategy based on static synchronous compensator[J].Chinese Journal of Electrical Engineering. 2010.30(25): 23 -28

[2]  Zhang Feng, Liang Jun, Che Renfei.  Singular point detection method for weak traveling wave signals[J]. Power system automation, 2010, 34(8):92-96.

[3]Wang Chengfu, Liang Jun, Zhang Li, Yun Zhihao, Han Xueshan. Wind farm forecast power hierarchical processing based on chance constrained programming  [J]. Power system automation. 2011.35(17):14-19.  

[4]Wang Chengfu, Liang Jun, Feng Jiangxia, Yang Fu. Research on reactive power and voltage coordinated control strategy of wind power system at fault time[J].Power automation equipment. 2011. 31(9)15-21.

[5]Dong Xiaoming, Liang Jun.  Analysis and improvement of continuous power flow parameter selection and step size control. Power system automation.2011,35 (13):49-53    

[6]Li Naiyong, Liang Jun.  Research on dynamic modeling and stability of grid-connected photovoltaic power plantsChinese Journal of Electrical Engineering.  2011,31 (10):12-18  

[7]Li Naiyong, Liang Jun.  Distribution network protection scheme considering the randomness of distributed power sourcesPower system automation.2011, 31(19):33-38

[8]Zhang Xueqing,Liang Jun. Research on chaos characteristics analysis and prediction model of wind power power time series[J]. Acta Physica Sinica,201261(19)190703

[9]Zhang Xueqing,Liang Jun,Dong Xiaoming. Evaluation of grid voltage stability performance based on cumulative index[J]. Journal of Electrical Engineering,201227(7)235-241

[10]Zhang Feng, Liang Jun,Che Renfei,Du Tao. Implementation algorithm of advanced fault location system based on traveling wave theory[J]. Power system automation,201232(8)54-59

[11]Dong Xiaoming, Liang Jun,Han Xueshan,Yin Hongtao,Wang Mengxia,Zhang Xueqing. Continuous power flow model and calculation taking into account temperature changes in transmission lines[J]. Power system protection and control,201240(23)36-41

[12]Wang Chengfu, Liang Jun,Zhang Li,Feng Jiangxia,Han Xueshan. Optimization decision of wind farm reactive power compensation capacity considering wind power distribution law[J]. Power system automation,201236(14)119-124

[13]  Zhang Feng,Liang Jun,Li Jianchao,Gao Hongmei.  Single-ended fault location algorithm based on initial reverse polarity traveling wave detection[J]. Power system automation. 2013. 37(4): 108-113.

[14]  Zhang Feng,Liang Jun,Cong Zhipeng,Yang Shenquan.  Identification method of initial reverse polarity traveling wave considering transmission modulus[J]. Power system automation. 2013. 37(10): 108-112..

[15]  Feng Jiangxia, Liang Jun, Zhang Feng, Wang Chengfu, Sun Bohao. Optimal calculation of wind farm energy storage capacity considering dispatch plan and operating economy. Power system automation. 2013. 37(1): 90-95.

[16]Zhang Xueqing, Liang Jun. based onEEMD-Chaotic time series prediction model of wind power power based on approximate entropy and reserve pool. Acta Physica Sinica,201362(5)050505(SCIInclusion:1.027)  

[17]Zhang Xueqing,Liang Jun,Zhang Li,Yu Dayang,Han Xueshan,Zhang Feng,Zhang Xi. A method for charging and dispatching electric vehicles in regional power grids taking into account wind and photovoltaic power sources.,2013282):28-35

[18]  Li Jiansheng, Liang Jun, Yun Zhihao.  Probabilistic analysis method for evaluating gradual changes in equipment status based on electrical information[J].Journal of Electrical Engineering,  2013, 28(10):355-363.

[19]  Li Xiaoming, Liang Jun, Wang Kui.  New magnetically controlled fault current limiter[J]. Power automation equipment, 2013, 33(6):42-46.

[20]  Wang Chengfu, Liang Jun, Sun Hongbin.  Research on wind farm hybrid reactive power compensation system and its control strategy. Journal of Electrical Machines and Control, 2013, 17(5):38-44.

[21]  Zhang Xueqing, Liang Jun, Zhang Xi.  Ultra-short-term wind power power combination prediction model based on sample entropy and extreme learning machine[J]. Chinese Journal of Electrical Engineering. 2013, 33(25:33-40.

[22]  Zhang Feng, Liang Jun, Zhang Li et al.  Wind farm energy storage capacity optimization method considering the best expected output and state of charge[J]. Power system automation, 2014, 38(24): 12-19.

[23]Li Jiansheng,  Liang Jun, Zhang Li et al. Electrical equipment status change detection based on port model[J]. High Voltage Technology,  2014, 402):540-547

[24]  Lu Xiaolu, Liang Jun, Yun Zhihao and others.  Longitudinal time probability distribution characteristics of wind farm output[J]. Power automation equipment, 2014, 34(5): 40-45.

[25]  Zhang Feng, Zhang Xu, Liang Jun et al.  Optimal control strategy for energy storage system based on variable progressive progress and expected output[J]. Power system automation,2014,38(15): 30-36.

[27]  Li Naiyong, Liang Jun, Li Lei and others.  Dispatching end power grid fault diagnosis system based on wide-area fault recording information[J]. Power system automation,2014,38(16): 100-104.

[28]  Zhang Xu, Liang Jun, Yun Zhihao and others.  Generalized load modeling and application considering wind power access uncertainty[J]. Power system automation,2014,38(20): 61-67.

[29]Dong  Xiaoming, Wang ChengfuLiang Jun. Calculation  of Power Transfer Limit Considering Electro-Thermal Coupling of Overhead  Transmission Line. IEEE Transactions on Power Systems.2014,29(4): 1503-1511.  (SCI)

[30]J.Wang,  J.Liang, F.Gao, L.Zhang, and Z.Wang, A method to improve the dynamic  performance of moving average filter based PLL. IEEE Trans. Power Electron.  2015,30(10)5978-5990(SCI)

[31]Wang Mingda,  Liang Jun, Wang Guangzhu and others.  Based on single starMMC’s new modelSTATCOMand its control strategy[J].  Power system automation. 2015, 39(18): 108 -113

[32]  Niu Rui, Liang Jun, Yun Zhihao and others.  Single-end traveling wave ranging for hybrid lines based on fault distance interval[J]. Power Grid Technology,  2015,39(1):156-163.

[33]  Li Zhengmao, Zhang Feng, Liang Jun.  Microgrid operation optimization with combined electric and heating system[J]. Chinese Journal of Electrical Engineering, 2015, 3514:  3571-3576

[34]Z.  Liang, J. Liang, L. Zhang, C. Wang, Z. Yun and X. Zhang, “Analysis of  multi-scale chaotic characteristics of wind power based on Hilbert–Huang  transform and Hurst analysis,”Appl. Energy, vol. 159, pp 51-61, 2015.

 

 

Undertaking scientific research projects and receiving awards

Undertake project

[1] National Natural Science Foundation of China,Research on the power system control theory of power grid aggregation with progressive learning, project leader,2012-2015.

[2] Shandong Provincial Natural Science Foundation,Research on the coordination control theory between intermittent power supply and regional power grid,Project Leader,  2011-2013.

[3] Shandong Provincial Natural Science Foundation,Research on transmission line fault detection and precise positioning based on wide-area synchronous measurement, project leader,2008-2010.

[4]Research on power grid planning and assessment technology based on wind power probabilistic characteristics,Shandong Electric Power Group Company Science and Technology Project,2013-2017

[5]500KVOnline monitoring and intelligent analysis of substations,Shandong Electric Power Group Company Science and Technology Project,2013-2017

[6]UHV DC online monitoring system,State Grid Corporation of China Science and Technology Project,

[7]Analysis of Shandong Power Grid Stability under AC and DC Interconnection Mode,Shandong Electric Power Group Company Science and Technology Project,

[8]Research on the coordinated dispatching system of electric vehicle charging and discharging and photovoltaic power generation,Shandong Electric Power Group Company Science and Technology Project,

 

Host other State Grid Corporation of China、More than twenty scientific and technological projects of Provincial Power Grid Company。

 

Get reward

[1]"Microcomputer Power Fault Recording Detection Device" First Prize of Shandong Province Science and Technology Progress Award,2006, Liang Jun (first place)

[2]"Second Prize of Shandong Province Science and Technology Progress Award for "Power System Dynamic Data Acquisition and Processing System",2003, Liang Jun (first place)

[3]Second Prize for "Distributed Power Quality in Comprehensive Detection and Management System" Shandong Province Science and Technology Progress Award,2004, Liang Jun (first place)

[4]"Portable Microcomputer Power Wave Recording Detection Device" Shandong Province Science and Technology Progress Third Prize,2007, Liang Jun (first place)

Academic Type

Teaching and scientific research type

 

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