Transmission-distribution coordinated energy management (TDCEM) is recognized as a promising solution to the challenge of high DER penetration, but lack of a distributed computation method that universally and effectively works for TDCEM. To bridge this gap, a generalized master-slave-splitting (G-MSS) method is proposed based on a general-purpose transmission-distribution coordination model (G-TDCM), enabling G-MSS to be applicable to most central functions of TDCEM. In G-MSS, a basic heterogeneous decomposition (HGD) algorithm is first derived from the heterogeneous decomposition of the coupling constraints in the KKT system regarding G-TDCM. Optimality and convergence properties of this algorithm are proved. Furthermore, a modified HGD algorithm is developed by utilizing subsystem's response function, resulting in faster convergence. The distributed G-MSS method is then demonstrated to successfully solve central functions of TDCEM including power flow, contingency analysis, voltage stability assessment, economic dispatch and optimal power flow. Severe issues of over-voltage and erroneous assessment of the system security that are caused by DERs are thus resolved by G-MSS with modest computation cost. A real-world demonstration project in China will be presented.
Zhengshuo Li received his BS and PhD degrees from the Department of Electrical Engineering, Tsinghua University, Beijing, China, in 2011 and 2016. He is currently an Associate Staff Researcher at Tsinghua-Berkeley Shenzhen Institute, Tsinghua University. He was a Visiting Scholar at Argonne National Laboratory in 2014, and is currently a Visiting Scholar at U.C. Berkeley. His research interests include economic dispatch and security analysis of smart transmission and distribution grids, distributed storage utilization and demand response in smart grids. He has published about 50 papers and held over 10 China and US patents. His book on distributed transmission-distribution coordination is published by Springer in 2018. Dr. Li is a recipient of the Excellent Graduates and Excellent Doctoral Dissertation Award of Tsinghua University in 2016. He is a recipient of the Best Paper Award of China National Doctoral Academic Annual Meeting and of IEEE PES General Meeting. He is also a recipient of Best Reviewer Awards for IEEE Transactions on Smart Grid and for Proceedings of CSEE.