Power System Research Institute

Academic Identity

Shandong Province Electric Power Industry Expert；IEEE Member

Work experience

2022.7-present          Associate Professor, School of Electrical Engineering, Shandong University

2018.12-2019.12   Visiting Scholar, School of Electrical and Electronic Information, Nanyang Technological University

2015.7 -2022.7      Associate Researcher, School of Electrical Engineering, Shandong University

2013.7 -2015.7      Assistant Researcher, Department of Electrical Engineering, Tsinghua University

Personal information

Name

Dong Xiaoming

Gender

Male

Date of birth

19800405

Place of Origin

Jinan City, Shandong Province

Professional title

Associate Professor

Position

Telephone

18654539653

Email

dongxiaoming@sdu.edu.cn

Research direction

The main research field focuses on numerical calculation and analysis methods of power network。It is divided into three aspects:

1. Research on calculation methods of power grid transmission capacity.

2. Research on evaluation methods of static voltage stability of power systems.

3、Research on the operating characteristics of the interconnected power grid and its calculation and analysis methods

Academic works

[1] Yue Ma, Xiaoming Dong*, et. al. Robust Optimization Model of Flexible Distribution Network Considering Source-Load Uncertainty, Electrical Power System Research, 223 (2023): 109698.

[2] Xiaoming Dong, Fan Chen, et. al. SCOPF Considering Voltage and Power Fluctuation Under Renewable Energy Integration. International Journal of Electrical Power & Energy Systems, 2023, 153: 109273.

[3] Yong Wang, Yan Wang, Xiaoming Dong*, et. al. Assessment for Capacity of Wind-Storage Integration System Considering Electro-thermal coupling of Overhead Transmission Lines, IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2023.3238992.

[4] Xueyong Jia, Xiaoming Dong*, et al. Static Voltage Stability Assessment Considering Impacts of Ambient Conditions on Overhead Transmission Lines. IEEE Transactions on Industry Applications, 2022, doi: 10.1109/TIA.2022.3195974.

[5] Xiaoming Dong, Yue Ma, et al. An Improved Power Flow Calculation Method Based on Linear Regression for Multi-area Networks with Information Barriers[J]. International Journal of Electrical Power & Energy Systems, 2022, 142: 108385.

[6] Xiaoming Dong, Xupeng Hao, et al. A Distributed Power Transfer Limit Calculation Method for Multi-Area Interconnection Power Networks, IEEE Transactions on Power Systems, Sept. 2021, 36, 5, pp. 4723-4732.

[7] Xiaoming Dong, Xupeng Hao, et al. Power Transfer Limit Calculation for Multi-area Interconnected Power Networks[J]. International Journal of Electrical Power & Energy Systems, Sep. 2020, 120: 105953.

[8] Xiaoming Dong, Ruiqi Zhang, et. al. Capacity Assessment for Wind Power Integration Considering Transmission Line Electro-Thermal Inertia[J]. International Journal of Electrical Power & Energy Systems, Jun. 2020, 118: 105724.

[9] Quan Chen, Xiaoming Dong*, et al. Power Flow Analysis of AC-DC Networks Considering Hierarchical Connection Technique[J]. International Journal of Electrical Power & Energy Systems, Feb. 2020, 115: 105493.

[10] Xiaoming Dong, Chongqing Kang, et al. Estimating the Wind Power Integration Threshold Considering Electro-thermal Coupling of Overhead Transmission Lines[J]. IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3349-3358, Sept. 2019.

[11] Chengfu Wang, Xijuan Li, Zhaoqing Wang, Xiaoming Dong*, et al. Day-ahead unit commitment method considering time sequence feature of wind power forecast error[J]. International Journal of Electrical Power & Energy Systems, Jun. 2018, 98: 156-166.

[12] Xiaoming Dong, Chengfu Wang, et al. Calculation of optimal load margin based on improved continuation power flow model[J]. International Journal of Electrical Power & Energy Systems, Jan. 2018, 94: 225-233.

[13] Xiaoming Dong*(C), Hua Sun, et al. Power Flow Analysis Considering Automatic Generation Control for Multi-Area Interconnection Power Networks[J]. IEEE Transactions on Industry Applications, Aug. 11 2017, 53(6):5200-5208.

[14] Xiaoming Dong, Chongqing Kang, et al. Analysis of Power Transfer Limit Considering Thermal Balance of Overhead Conductors. IET Generation Transmission & Distribution, Oct. 26 2015, 9(14):2007-2013.

[15] Xiaoming Dong, Chongqing Kang, et al. Estimating Life-Cycle Energy Payback Ratio of Overhead Transmission Line toward low-carbon development. Journal of Modern Power Systems and Clean Energy, Mar. 2015, 3(1): 123-130.

[16] Xiaoming Dong, Chengfu Wang, et al. Calculation of Power Transfer Limit Considering Electro-Thermal Coupling of Overhead Transmission Line[J]. IEEE Transactions on Power Systems, Jan. 10 2014, 29(4):1503-1511.

[17] Jia Xueyong，Dong Xiaoming*，etc..Calculation and sensitivity analysis of power grid transmission characteristics considering meteorological and geographical factors[J].Power system automation. 2022, 46(21): 106-115.

[18] Wang Chaochao，Dong Xiaoming*，etc..Modeling method of power cyber-physical system considering multi-layer coupling characteristics[J].Power system automation. 2021, 45(3): 83-91.

[19] Chen Quan，Dong Xiaoming*，etc.. Classic non-cooperative game power flow distribution model for determining the minimum number of startups[J].Power system automation. 2020, 44(10): 111-118.

[20] Zhang Ruiqi，Dong Xiaoming*，etc.. Full-life economic evaluation of new energy access channels taking into account line electric and thermal coupling[J].Power system automation. 2020, 44(3): 83-88.

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

[22]Dong Xiaoming*，Liang Jun，etc.. Continuous power flow model and calculation taking into account temperature changes of transmission lines[J].ElectricityForce system protection and control. 2012,40(23):36-41.

Undertake scientific research projects

[1] Research on key technologies and engineering platforms for interactive coupling of multiple energy flows that take into account the orderly conversion of high-density energy under the dual carbon goals (National Natural Science Foundation of China)

[2] Research on grid power flow analysis and optimization control methods based on data mining (Shandong Provincial Natural Science Foundation)

[3] Research on simulation and evaluation methods of new energy grid-connected operation taking into account meteorological factors (China Postdoctoral Science Foundation)

[4] Research on the evaluation and expansion planning method of strong local power grid operation capabilities for resilience improvement (State Grid Corporation of China)

[5] Research on dynamic behavior mechanism and coordination control measures of tens of millions of kilowatt-level hierarchical DC transmitter and receiver systems (State Grid Corporation of China)

Academic Type

Teaching and scientific research type