Electric Power System Research Institute

Academic identity

Senior member of the Chinese Electrical Engineering Society，Senior member of the China Electrician Technology Society，IEEE、IEEE PESMember, Taishan Industrial Leader

Work experience

2009.11-Professor of the School of Electrical Engineering, Shandong University，Doctoral supervisor;

2002.09-2009.10 Associate Professor of the School of Electrical Engineering, Shandong University，Master's tutor;

2006.05-2009.08 Tianjin University Electric Power System and its automation major for a doctorate degree;

2000.01-2002.08 Senior Engineer of Shandong Textile Design Institute;

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

1994.10-1997.08 Engineer of Shandong Textile Design Institute;

1992.01-1994.09 Engineer of Shandong Provincial Academy of Sciences;

1986.07-1991.12 Assistant Engineer of Jinan Institute of Mechanical Research Institute;

1982.09-1986.07 Shandong University of Technology Electrochemical major

Personal information

Name

Wang Zhenshu

Gender

Male

Date of birth

1963.3

Origin

Jining, Shandong

Title

Professor

Job

Phone

0531-81696161

13969086018

email

zhenshuwang@sdu.edu.cn

Research direction

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

Academic works

Thesis:    

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. 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 .. Crowbar -based dual -feding unit wind farm equivalent model and grid simulation analysis, Journal of Electrician Technology, 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 chacristics base on lifelet transport transport transformation. International Journal of Electrical Power and Energy Systems,2014,62: 353-363.

9.Research on Load Model Parameters based on the combination of chaos and quantum particle group algorithms.Journal of Electrician Technology，2014,29（12):211-217.

24689_24848, v 48, n 1, p 71-82, 2013.

11.Consider the trend calculation of photovoltaic grid -connected power distribution network, Journal of Electrician Technology, 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 loading model based on the Bayesian evidence framework[j].Journal of Electrician Technology，2009，24 (8): 127-134+140

14.Unlimited optimization algorithm based on the combination of particle population and simulation annealing[j].Journal of Shandong University(Engineering version)，2008，38（6):15-20。

15.Load modeling of the power system from complex visual understanding[j].College education research,2008, (7): 164-165。

monograph:

The theory and method of the load building of the power system

Authorized invention patent:

1.A feature extraction method of a power load characteristics

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

3.A comprehensive classification method based on Malkov Monte Carlo

4.Based on Metropolis-Hastings and PSO, non-merit optimization method

5.A method of load fusion modeling method based on layer -based analysis method

Reward:

The second prize of scientific and technological progress in Shandong Province2Item, third prize2item

undertaking scientific research projects

Hosted scientific research project:

1. Study on the problem of accurate load characteristic information in the model modeling of power system,National Natural Science Foundation;

2. Load modeling and model adaptability research based on the communication and DC mixed system,Shandong Natural Science Fund;

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

4. Research on the technical support system of grid load modeling in the region,Shandong Provincial Science and Technology Development Plan;

5. Research on load movement characteristics based on power failure recording wave monitoring,Shandong Natural Science Fund;

6.,Shandong Provincial Science and Technology Development Plan;

7. Study on model modeling based on the power load movement based on wide -area measurement,Shandong Natural Science Fund

Academic Type

academic type, professional type