个人简介：

徐青山，1979年，江苏泰州人。教授，博士生导师，副院长，东南大学智能配用电研究所所长。

日本爱知工业大学访问学者，美国普渡大学高级访问学者。主要研究兴趣为新能源发电技术、负荷资源化调度、智能配用电技术等。主持国家自然科学基金4项、江苏省自然科学基金1项，国家能源局项目1项，教育部留学归国人员基金1项。作为技术骨干参加国家科技支撑计划1项、国家重点研发计划项目2项。在IEEE Trans、Energy、中国电机工程工程学报等国内外核心刊物上发表论文80余篇，SCI收录30篇次。获江苏省科技进步二等奖1项、天津市科技进步二等奖1项、江西省科技进步三等奖1项、国家电网公司科技进步二等奖2项。

入选江苏省“六大高峰人才”、江苏省青蓝工程学术带头人、东南大学优秀青年教师、东南大学“十大我最喜爱的研究生导师”。

论著：       

著作：

[1]光伏与风力发电系统并网变流器，机械工业出版社，2014。

[2]分布式发电与微电网技术，人民邮电出版社，2011

论文：

[1] Optimal Micro-siting of Wind Turbines in an Offshore Wind Farm using Frandsen-Gaussion Distribution Wake Mode. IEEE Transactions on Power Systems. 2019

[2]New Steady State Voltage Stability Analysis Methods With Computation Loads Separation Technique in DC Power Systems. International Journal of Electrical Power and Energy Systems. 2019

[3]Bi-level Optimized Dispatch Strategy of Electric Supply-Demand Balance Considering Risk-Benefit Coordination. IET Smart Grid. 2019

[4]Probabilistic State Estimation Approach for AC/MTDC Distribution System Using Deep Belief Network with Non-Gaussian Uncertainties. IEEE Sensors Journal 2019

[5]Stochastic Security  Assessment for Power Systems with High Renewable Energy Penetration Considering Frequency Regulation. IEEE Access. 2019

[6]Engineering Energy Storage Sizing Method Considering the Energy Conversion Loss on Facilitating Wind Power Integration. IET Generation, Transmission & Distribution. 2019

[7]Battery Energy Storage Sizing Based on A Novel Battery Energy Storage Control Strategy to Smooth the Wind Power. International Journal of Electrical Power and Energy Systems. 2019

[8]A novel importance sampling method for the acceleration of composite power system reliability assessment considering wind energy integration. International Journal of Electrical Power and Energy Systems. 2019

[9]A Novel System Operation Mode with Flexible Bus Type Selection Method in DC Power Systems. International Journal of Electrical Power and Energy Systems. 2018

[10]Decision Strategy of Interruptible Load Based on Deposit Mechanism Considering Uncertainty of Customer Behavior. Mathematical Problems in Engineering. 2018

[11]An analytic approach to probabilistic load flow incorporating correlation between non-Gaussian random variables. Electronics and Electrical Engineering. 2018

[12]Numerical method for probabilistic load flow computation with multiple correlated random variables. IET Renewable Power Generation. 2018

科研：

教学：

本科生课程：《电力系统稳态分析》

研究生课程：《电力系统分析》

人才培养：

目前在读博士研究生11人，硕士研究生12人，已毕业研究生38人。