skip to main content

Smart Grid Seminar

Saturday, July 25, 2015
10:00am to 11:30am
Add to Cal
Annenberg 213
Modeling and Handling the Uncertainty of Wind Power in Power System Operation Optimization / Fast Solutions for SCUC/SCED and Optimal Transmission Switching
Ning Zhang, Assistant Professor, Tsinghua University,
Haiwang Zhong, Assistant Professor, Tsinghua University,

Assistant Professor Dr. Ning Zhang:

Title:
Modeling and handling the uncertainty of wind power in power system operation optimization

Abstract:
The uncertainty of wind power brings risks to power system operation.  The operation decision should be smart enough to be able cover the uncertainty of wind power with a reasonable cost. This requires a comprehensive modeling of its uncertainty and a strategic decision making.  A copula based model is firstly proposed to capture the spatial and temporal correlation of wind power.  A conditional forecast error model is than introduced to capture the changes of distribution of wind power forecast errors under various wind power outputs.  Finally a risk based unit commitment model is proposed to consider the risks of the loss of load, wind curtailment and branch overflow caused by wind power uncertainty in the operation decision.  The industrial applications of these modeling and optimization technical in China is also introduced.


-------------------

Assistant Professor Dr. Haiwang Zhong:

Title:
Fast Solutions for SCUC/SCED and Optimal Transmission Switching

Abstract:
SCUC/SCED are key applications in smart grid operations.  Widely application of SCUC/SCED can improve the efficiency of power grids, so as to conserve energy, reduce emissions, and realize the sustainable development of the electricity sector.  Meanwhile, optimal transmission switching (OTS) has become a research focus in recent years as a new operational method for power systems.  SCUC and OTS are modeled as mixed-integer programming (MIP) problems and it is difficult to solve within short time horizon.

This talk will present some developing trends and new algorithms in SCUC/SCED and OTS, including the SCUC considering AC power flow equations, a new concept termed the Inducing Objective Function (IOF), and decentralized optimization techniques.  These methods are able to speed up the solving process for MIP problems.  Case studies will show the effectiveness of these methods.  The modeling techniques, algorithm designs, industrial application of SCUC/SCED in China will also be introduced.

 

For more information, please contact Christine Ortega by email at cortega@caltech.edu.