Peter B. Luh,Laurent D. Michel,Peter B. Friedland,Che Guan,Yuting Wang
标识
DOI:10.1109/pes.2010.5590062
摘要
Demand response is a reduction in the consumption of electricity by customers from their expected consumption in response to reliability or price triggered signals. Enabled by advanced metering infrastructure and other smart grid technologies, it is expected to be a crucial mechanism to compensate system uncertainties and the associated risks including those related to intermittent renewable generation such as wind or solar. In this paper, challenges associated with load forecasting and demand response are discussed. To address the challenges, our key ideas are to (1) forecast load together with corresponding confidence intervals having additional pricerelated input variables; and (2) use online stochastic optimization together with very-short-term load forecasting results to find effective and robust solutions to manage both dispatchable and non-dispatchable demand response.