Power System Advanced Scheduling Based on Advanced Thermal Rating

ABSTRACT

The dynamic thermal rating (DTR) can improve the thermal load capacity of transmission lines. The integration of DTR into power system scheduling achieves full utilization of the line load capacity. Thus, this paper proposes the concept of advanced DTR and applies it to the advanced scheduling of power system. Based on advanced thermal rating, combining with conductor temperature, safe running time, and system power flow, the advanced scheduling is realized to achieve the predictive use of line thermal load capacity. In addition, based on the wind power forecast, the advanced scheduling in the wind turbine system is studied. The influence of the randomness of wind power on the advanced scheduling is presented. The results prove that the advanced scheduling based on advanced thermal rating can improve the economy and safety of power grid operation.

KEYWORDS:

• Advanced dynamic thermal rating
• Advanced scheduling
• Conductor temperature
• Power grids
• Thermal load capacity
• Wind power forecast

ACKNOWLEDGEMENTS

This paper is supported by the National Natural Science Foundation of China (51407111, 51607107, 51641702), the Science & Technology Development Project of Shandong Province, China (ZR2015ZX045), and the Science and Technology Development Project of Weihai City (2014DXGJ23).

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

National Natural Science Foundation of China [grant number 51407111], [grant number 51607107], [grant number 51641702]; Science & Technology Development Project of Shandong Province, China [grant number ZR2015ZX045]; Science and Technology Development Project of Weihai City [grant number 2014DXGJ2].

Notes on contributors

Yanling Wang

Yanling Wang obtained Bachelor in Architectural Engineering and Master of Electric Power System and Automation from Northeast Electric Power University. She received her PhD degree from Shandong University and now teaches in School of Mechanical Electrical an Information Engineering at Shandong University. Her current research areas are smart grid, power grid transmission capacity, power system operation, and control.

Likai Liang

Likai Liang obtained Bachelor in Electronic and Information Engineering from Liaoning University of Technology. She obtained Masters in Computer Science and Information Technology from Northeast Normal University. She received her PhD degree from School of Electrical Engineering from Shandong University in 2013. She teaches as an associate professor in School of Mechanical Electrical and Information Engineering at Shandong University, China. Her current research interests include power system operation and control.

Corresponding author. E-mail: [email protected]

Jianping Qi

Jianping Qi is a postgraduate in School of Mechanical Electrical and Information Engineering at Shandong University. She is major in Electronics and Communication Engineering. Her main research interests include current-carrying transmission and automation of electric power systems.

E-mail: [email protected]

Yang Mo

Yang Mo obtained Bachelor in Electrical Engineering and Automation from Qingdao University. Now, he is a postgraduate in School of Mechanical Electrical and Information Engineering at Shandong University, China. He is major in Electronics and Communication Engineering. His main research interests include power system operation and control.

E-mail: [email protected]

Mengmeng Wu

Mengmeng Wu received her M.S. degree from School of Electrical Engineering at Shandong University in 2016. Her main research interests include power grid transmission capacity, power system operation and control.

E-mail: [email protected]