Special Session Introduction

Abstract: Over the past few decades, the growth of wind power and solar power has increased rapidly in China. In 2021, the increment of renewable energy generation installed capacity is 0. 134 GW, accounting for 76. 1% of the total amount of the increment of power generation installed capacity in China. The integration of large-scale renewable energy has significantly enhanced the fluctuation and uncertainty of power, resulting in serious power balance problem of power grids. This Special Session aims to assess and improve the power balance capability of power grids through some technologies, e.g., enhancing renewable power forecast accuracy, improving collaborative dispatch, and mining flexibility.
Technical Outline of the Session: With the development of new power systems, renewable energy generation will account for more than 30% of the total amount of power generation, leading to a very different power system. Under this circumstance, the traditional power balance methods related to power forecasting and dispatching are no longer applicable, resulting in serious power balance problem. Therefore, we propose this special session. It is relevant to the topic "Renewable Energy Integration" of this conference. To accelerate renewable energy integration, good power balance methods are necessary.

Special Session Organizer

Shuanglei Feng received the Ph.D. degree in Electrical Engineering from China Electric Power Research Institute, Beijing, China, in 2009. He is currently a Professorate Senior Engineer and the Deputy Director with Renewable Energy Research Center, China Electric Power Research Institute, Beijing, China. He is the convenor of the IEC TC/SC8A/WG2 "Renewable Energy Power prediction" and develops the first IEC standard in the field of renewable energy prediction. He was the recipient of the National Youth Talent Support Program of China in 2017. He won the second prize of the National Science and Technology Progress Award in 2013 and 2016, and second prize of the China Electrotechnical Society Science and Technology Progress Award in 2019, and first prize of the China Electrotechnical Society Science and Technology Progress Award in 2022, respectively. His research interests include wind/PV power forecasting, renewable energy resources assessment, and electrical power system analysis.

Peng Li is the member of IEEE and CES. He received the B.Eng. and Ph.D. degrees in electrical engineering from Shandong University, Jinan, China, in 2015 and 2020, respectively. He was a Visiting Ph.D. Student with the Department of Electrical Engineering, Southern Methodist University, Dallas, Texas, USA, from 2018 to 2019. He was also a Visiting Ph.D. Student with the Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark, from 2019 to 2020. He conducted postdoctoral research at the School of Electrical Engineering, Shandong University, from 2021 to 2023, where he is currently an Associate Professor. His research interests include renewable energy integration and power system optimal operation.