Integration of Distributed Resources in Smart Grids for Demand Response and Transactive Energy

Prof. Meng Song received the B.S. degree from Southeast University, Nanjing, China in 2012, the M.S. degree from the Harbin Institute of Technology, Harbin, China in 2014, and Ph.D. degree from Southeast University in 2018. From 2018 to 2020, she was a Post-Doctoral fellow in University of Central Florida. She is currently working in the department of electrical engineering, Southeast University. Her research interests include demand response, smart grid modeling and control, transactive energy and power system resilience. She has focused on  demand response and transactive energy for 6 years which covers her doctoral and postdoc duration and thus has a deep insight into this field. This book collects and summarizes most highlights of all her research. Prof. Ciwei Gao is the full professor of school of electrical engineering, Southeast University, P.R.China. He is the IEEE senior member, received the B.S. degree from North China Electric Power University,Baoding, China in 1999, the M.S. degree from Wuhan University, Wuhan, China in 2003, and Ph.D. degree from Politecnico di Torino in 2006 and Shanghai Jiaotong University in 2007.  He has More than 20 years research experience in the field of electrical engineering, focusing on electricity market, demand side management and demand response, power planning and integrated energy systems. Provide course “Power system analysis”, “Fundamentals of Power Economics” and “Power Planning” in the university for the graduate and undergraduate students. Authored nearly 200 publications of journals or conferences. PI of more than 100 research projects cooperating with State Grid Corporation of China, Southern Grid Corporation of China, China EPRI (Electrical Power Research Institute), Electricity/Energy Regulation Agencies, Energy Foundation of America and Prosperity Fundation of UK etc.

Chapter 1. Overview of TCLs in smart grids.- Chapter 2. Impact of Uncertain Parameters on TCL Power Capacity Calculation.- Chapter 3. Aggregated Control Models of TCLs for regulation services I.- Chapter 4. Aggregated Control Models of TCLs for regulation services II.- Chapter 5. Thermal battery modeling of TCLs and its comparisons to conventional batteries.- Chapter 6.  Energy storage Models of TCLs under different control methods.- Chapter 7. Parameter identification of multi-time scale TCL aggregated models.- Chapter 8. Hierarchical scheduling of TCL flexibility for transactive energy.- Chapter 9. Multi-time scale transactive control and scheduling of TCLs for smoothing microgrid tie flow fluctuations.- Chapter 10. Robust Distribution System Load Restoration with Time-Dependent Cold Load Pickup.