Power System Research Institute

Academic Identity

Senior member of China Electrical Engineering Society，Senior member of China Electrotechnical Society，IEEE、IEEE PESMember, leading talents in Taishan industry

Work experience

2009.11-present Professor, School of Electrical Engineering, Shandong University，Doctoral Supervisor；

2002.09-2009.10 Associate Professor, School of Electrical Engineering, Shandong University，Master’s Tutor；

2006.05-2009.08 Studying for a PhD in Electric Power Systems and Automation at Tianjin University；

2000.01-2002.08 Senior Engineer of Shandong Textile Design Institute；

1997.09-1999.12 Senior Engineer, Shanghai Branch of Shandong Textile Design Institute；

1994.10-1997.08 Engineer of Shandong Textile Design Institute；

1992.01-1994.09 Engineer, Shandong Academy of Sciences；

1986.07-1991.12 Assistant Engineer of Jinan Mechanical Research Institute；

1982.09-1986.07 Studying electrical automation major at Shandong University of Technology

Personal information

Name

Wang Zhenshu

Gender

Male

Date of birth

1963.3

Place of Origin

Jining, Shandong

Professional title

Professor

Position

Telephone

0531-81696161

13969086018

Email

zhenshuwang@sdu.edu.cn

Research direction

Power system analysis and control; new energy power generation and smart grid

Academic works

Paper:    

1.Model selection mechanism of Interactive Multiple Load Modeling. International Journal of Electrical Power and Energy Systems, v 103, p 58-66, December 2018.

2.The Power System Environmental Optimal Dispatch Containing Air Quality Forecast. Energy Procedia, v 105, p 3623-3628, 2017.

3. Accurate Load Modeling Based on Analytic Hierarchy Process. Journal of Electrical and Computer Engineering, v 2016, 2016.

4. Economic Dispatch of Power System Containing Wind Power and Photovoltaic Considering Carbon Trading and Spare Capacity Variation. International Journal of Green Energy, 2016, 13(12):1267-1280.

5. The Optimal Dispatch with Combination of Wind Power and Photovoltaic Power Systems. Energy Procedia, v 103, p 94-99, December 1, 2016.

6..Wind farm equivalent model and grid connection simulation analysis of doubly-fed unit based on Crowbar, Journal of Electrical Engineering, 2015, 30(4):44-51.

7.Parameter Identification of Load Models Using the CQDPSO Algorithm, Advanced Materials Research,2014,986:1375-1378.

8.Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling. International Journal of Electrical Power and Energy Systems,2014,62:353-363.

9.Research on load model parameter identification based on the combination of chaos and quantum particle swarm algorithm.Journal of Electrical Engineering，2014,29（12)：211-217.

10. The load characteristics classification and synthesis of substations in large area power grid. International Journal of Electrical Power and Energy Systems, v 48, n 1, p 71-82, 2013.

11.Distribution network power flow calculation considering photovoltaic grid connection, Journal of Electrical Engineering, 2013, 28(9):178-185.

12.Dynamic load modeling based on extreme learning machine[J].Applied Mechanics and Materials Vols. 195-196 (2012) pp 1043-1048.

13.Support vector machine load modeling based on Bayesian evidence framework[J].Journal of Electrical Engineering，2009，24(8):127-134+140

14.Reactive power optimization algorithm based on a combination of particle swarm and simulated annealing[J].Journal of Shandong University(Engineering Edition)，2008，38（6)：15-20。

15.Visual understanding of load modeling of power systems from complexity[J].University Education Research,2008,(7):164-165。

Monograph:

Power system load modeling theory and method

Authorized invention patent:

1.A feature extraction method for electric load dynamic characteristics

2.A power load modeling method based on interactive multi-model algorithm

3.A comprehensive classification method of load characteristics based on Markov Monte Carlo

4.Reactive power optimization method based on the combination of Metropolis-Hastings and PSO

5.A load fusion modeling method based on the AHP

Reward:

Second Prize of Shandong Province Science and Technology Progress Award2item, third prize2item

Undertake scientific research projects

Research projects hosted by:

1.Research on the acquisition of accurate load characteristic information and accurate load modeling in power system modeling,National Natural Science Foundation of China；

2.Research on load modeling and model adaptability based on AC and DC hybrid systems,Shandong Provincial Natural Science Foundation；

3.Application of smart distribution network equipment and advanced technology，Shandong Provincial People's Government；

4.Research on regional power grid load modeling technology support system,Shandong Province Science and Technology Development Plan；

5.Research on load dynamic characteristics modeling based on power fault recording monitoring,Shandong Provincial Natural Science Foundation；

6.Research on dynamic characteristics modeling and information platform of regional power grid power load,Shandong Province Science and Technology Development Plan；

7.Research on modeling of electric load dynamic characteristics based on wide-area measurement,Shandong Provincial Natural Science Foundation

Academic Type

Academic, professional