EE and WESEP Seminar Series with Fei Wang

When

February 22, 2018    
1:10 pm - 2:00 pm

Where

3043 ECpE Building Addition
Coover Hall, Ames, Iowa, 50011

Event Type

Speaker: Fei Wang, Professor of Electrical Engineering and Director of Smart Energy Integrated Operation Research Center at North China Electric Power University

Title: Synchronous Pattern Matching Principle Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description

Abstract: Most current customer baseline load (CBL) estimation methods for incentive-based demand response (DR) rely heavily on historical data and are unable to adapt to the cases while the load patterns (LPs) in DR event day are not similar enough with those in non-DR days. After revealed the error generation mechanism of current methods, a synchronous pattern matching (SPM) principle based residential CBL estimation approach without historical data requirement is proposed. All customers are split into DR and CONTROL group including DR participants and non-DR customers respectively. First, all CONTROL group customers are clustered into several nonoverlapping clusters according to LPs similarity in DR event day. Second, each DR participant is matched to the most similar cluster in CONTROL group according to the similarity between its load curve segments (LCS) excluding DR part and cluster centroids. Third, the CBL of each DR participant is estimated with an optimal weighted combination method using the actual load data within DR event period of all the customers in the very matching cluster in CONTROL group. Comparison with five well-known CBL estimation methods using a dataset of 736 residential customers indicates that the proposed approach has better overall performance than other nonsynchronous CBL estimation methods.

Bio: Fei Wang is a Professor of Electrical Engineering, and the Director of Smart Energy Integrated Operation Research (SENIOR) Center with the School of Electrical and Electronic Engineering at North China Electric Power University and the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding/Beijing, China. He is a visiting Professor with the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, U.S. from Mar 2016 to Apr 2017. He was a researcher with the Department of Electrical Engineering at Tsinghua University, Beijing, China from May 2014 to Feb 2016. Prof. Wang is an IEEE Senior Member. He received the B.S. degree from Hebei University, Baoding, China in 1993, the M.S. and Ph.D. degrees in Electrical Engineering from North China Electric Power University, Baoding, China, in 2005 and 2013, respectively. He was the recipient of the 2014 Natural Sciences Academic Innovation Achievement Award of Hebei Province and the 2014 Outstanding Doctoral Dissertation Award of North China Electric Power University. He has authored or coauthored more than 80 journal and conference papers. His research interests include renewable energy power forecasting, electricity load and price forecasting; demand response; electricity market and micro-grid.

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