Advances in Smart Grid Technology (eBook)

This book comprises the select proceedings of the International Conference on Power Engineering Computing and Control (PECCON) 2019. This volume covers several important topics such as optimal data selection and error-free data acquiring via artificial intelligence and machine learning techniques, information and communication technologies for monitoring and control of smart grid components, and data security in smart grid network. In addition, it also focuses on economics of renewable electricity generation, policies for distributed generation, smart eco-structures and systems. This book can be useful for beginners, researchers as well as professionals interested in the area of smart grid technology.

Dr. Ning Zhou is currently with the Electrical and Computer Engineering Department at Binghamton University as an Assistant Professor. In 2005, he received his Ph.D. in electrical engineering with a minor in statistics from the University of Wyoming. From 2005 to 2013, Dr. Zhou worked as a power systems engineer at the Pacific Northwest National Laboratory. His research interests include power system dynamics and statistical signal processing. Dr. Zhou is a senior member of the IEEE Power and Energy Society (PES). He has been an associate editor for IET Generation Transmission and Distribution since 2016. He is the lead author of the 2009 Technical Committee Prize Paper from the IEEE/PES Power System Dynamic Performance Committee.  He has been the co-chair of IEEE PES Working Group on Data Access and secretary of IEEE PES Task Force on Oscillation Source Location since 2016. He is the recipient of 2009 Outstanding Engineer of Year Award from IEEE Power and Energy Society (PES) Richland Chapter. He is the recipient of IEEE PES Outstanding Branch Counselor Award in 2017.

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This book comprises the select proceedings of the International Conference on Power Engineering Computing and Control (PECCON) 2019. This volume covers several important topics such as optimal data selection and error-free data acquiring via artificial intelligence and machine learning techniques, information and communication technologies for monitoring and control of smart grid components, and data security in smart grid network. In addition, it also focuses on economics of renewable electricity generation, policies for distributed generation, smart eco-structures and systems. This book can be useful for beginners, researchers as well as professionals interested in the area of smart grid technology.