Local Energy Markets

This book provides insight into the coordinated optimization of local energy market (LEM) with low-carbon digital operation of the distribution system from a demand-side perspective. There are four sections to characterize the ongoing development and future trends of LEM, including trading behaviors of prosumers, market design considering the impacts of uncertainties, LEM constrained by the distribution network, green LEM considering carbon emission and cutting-edge technologies. This book is expected to offer researchers, engineers, and graduate students in the fields of electrical engineering and energy economics with a unique understanding of LEM.

Proposes trading strategies considering prosumers' limited-rationality in multiple local energy markets Proposes a low-carbon energy management strategy of distribution systems based on local energy market Introduces blockchain and reinforcement learning technologies into local energy trading

Autorentext

Meng Song received her Ph.D. degree from Southeast University (2018). From 2016-2020, she worked as a visiting scholar/postdoc associate at Lawrence Berkeley National Laboratory, Illinois Institute of Technology, and the University of Central Florida, respectively. She is now an Associate Professor at the Electrical Engineering School of Southeast University. Her research interests include demand response, virtual power plants, transactive energy, and resilient distribution systems.

Ciwei Gao received his Ph.D. degree from Shanghai Jiaotong University, China, and Politecnico di Torino, Italy, in 2006. He is now a Professor at the Electrical Engineering School of Southeast University. His research interests include the electricity market, demand-side management, and power system planning.

Mingyu Yan received the Ph.D. degree from the Robert W. Galvin Center for Electricity Innovation of Illinois Institute of Technology in 2021. From 2021 to 2022, he was a Research Associate with Imperial College London. He is currently Full Professor with the School of Electrical and Electronics Engineering, Huazhong University of Science and Technology. His research interests include the power market, virtual power plants and multiple-energy system integration.

Yunting Yao received her Ph.D. degree from Southeast University in 2018. She is currently a lecturer at Nanjing Normal University. Her research interests include multi-energy system and power market.

Tao Chen received his Ph.D. degree from the University of Michigan-Dearborn in 2018. He is currently an Associate Professor at Southeast University. His research interests include demand-side management, the electricity market, and machine-learning applications in power systems.

Inhalt

1. State of the art of local energy markets.- 2. Mental accounting theory-based trading strategy of prosumers.- 3. Prospect theory-based trading strategy and analysis of prosumers.- 4. Optimal scheduling strategy of networked data centers in multiple local energy markets.- 5. Incentive-compatible local energy market design with adaptive robust approach.