题 目：The Impact of Time-of-Use on Consumption Patterns of The Residential Customers
地 点：清水河校区 主楼C1-213
Load participation is vital for the Smart Grid development. As an effective tool to improve reliability, stability, and financial efficiency of the power grids, Demand Response (DR) has brought significant financial and technical benefits to power systems. As one of the price-based DR programs with less control costs, the Time-of-Use (TOU) program has been applied as default rate structure by many utility companies. To avoid financial risks and make the most profit out of the market, utility companies treat TOU as an effective strategy to change customers’ electricity consumption patterns. As reported in many literatures, existing TOU programs are not effective as expected in many developed countries due to the complexity of human behaviors and disparities of residential customers. To examine whether to obtain different outcomes of TOU on the residential customers in developing countries, actual utility usage data from residential consumers in Shanghai, China are analyzed in this research. The result shows current TOU in Shanghai, China has similar trends as TOU in developed countries. With high penetration level of renewable energy, an effective TOU program is urgently needed in the utility industry. In recent years, a creative TOU pricing structure that has been introduced at Electrical Reliability Council of Texas (ERCOT) deregulated market, and it shows that the introduced “zero pricing” strategy has significant impact on customers’ consumption patterns. The purpose of this research is to examine the key reasons that underlying ineffectiveness/effectiveness of TOU programs at residential level.
This presentation describes the development, potential impact, challenges, and research opportunities of price-based demand response.
Long Zhao received the B.S. degree in electrical engineering from the Eastern Washington University, Cheney, WA, USA, in 2012 and M.S. degrees in electrical engineering from the Wichita State University, Wichita, KS, USA, in 2014. Currently he is pursuing the Ph.D. degree in Power and Energy Systems at the University of Texas at Arlington as a member of the Energy Systems Research Center (ESRC).
Long Zhao is currently the Associate Editor (AE) of IEEE Transactions on Industrial Applications, the reviewer of IEEE Transactions on Industrial Informatics, the reviewer of IEEE Texas Power and Energy Conference and IAS Student Chapter Chair at UT Arlington. He has been involved in research on arc flash, electricity market, renewable energy and monitoring systems of power grids. Long Zhao has published 5 SCI papers in the first 3 years of his PhD and received the outstanding student research award at UT Arlington in 2018.