Smart Grids

David Bakken is a professor in the School of Electrical Engineering and Computer Science at Washington State University, as well as chief scientist at GridStat, Inc., Pullman, Washington, USA. His research interests include wide-area distributed computing systems, middleware implementation, and dependable computing. His GridStat data delivery software has influenced the shape of the emerging NASPInet. Since 1999 he has been working closely with electric power researchers to rethink wide-area data delivery in power grids, and is considered the world’s leading expert on the subject. He is a frequent visitor and lecturer at utilities, electrical engineering departments, and power meetings worldwide. Dr. Krzysztof (Kris) Iniewski is managing R&D at Redlen Technologies Inc., Vancouver, British Columbia, Canada, a leading manufacturer of high resolution cadmium zinc telluride semiconductor radiation detectors. He is also president of CMOS Emerging Technologies Research Inc., Coquitlam, British Columbia, Canada, an organization hosting high-tech events on communications, microsystems, optoelectronics, and sensors. A popular speaker and consultant, he has published over 100 research papers, written and edited several books, and held faculty and management positions at University of Toronto, Ontario, Canada; University of Alberta, Edmonton, Canada; Simon Fraser University, Burnaby, British Columbia, Canada; and PMC-Sierra Inc., Burnaby, British Columbia, Canada.

Mission-Critical Cloud Computing for Next-Generation Power Applications. Power Application Possibilities with Mission Critical Cloud Computing. Emerging Wide-Area Power Applications with Mission Critical Data Delivery Requirements. GridStat: High Availability, Low Latency, and Adaptive Sensor Data Delivery for Smart Generation and Transmission. A Distributed Framework for Smart Grid Modelling, Monitoring, and Control. The Role of PLC Technology in Smart Grid Communication Networks. Study of Grid’s Topology and Electric Characteristics for Smart Grid Applications. Open Source Software, an Enabling Technology for Smart Grid Evolution. Contribution of Microgrids in the Development of the Smart Grid. Microgrids - Design, Function, Operation. Integrating Consumer Advance Demand Information in Smart Grid Supply Chains. Photovoltaic Energy Generation and Control. Self-Tuning and Self-Diagnosing Simulation. Stable Multi-Agent Based Fully Distributed Optimization of Smart Grids. Expert Systems Application for the Reconfiguration of Electric Distribution Systems. Load Data Cleansing and Bus Load Coincidence Factors. Smart Metering and Infrastructure. Vision of Future Control Centers in Smart Grids.