Journal
ENERGY POLICY
Volume 88, Issue -, Pages 11-26Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2015.09.029
Keywords
Demand response; Critical peak pricing; Variability of load patterns; Clustering of customers; Heterogeneity; Load impacts
Funding
- Ministry of Environment of Korea through its Climate Change Correspondence Program [2004001300002]
- National Research Foundation of Korea - Korean Government [NRF-2015-S1A3A-2046742]
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To the extent that demand response represents an intentional electricity usage adjustment to price changes or incentive payments, consumers who exhibit more-variable load patterns on normal days may be capable of altering their loads more significantly in response to dynamic pricing plans. This study investigates the variation in the pre-enrollment load patterns of Korean commercial and industrial electricity customers and their impact on event-day loads during a critical peak pricing experiment in the winter of 2013. Contrary to conventional approaches to profiling electricity loads, this study proposes a new clustering technique based on variability indices that collectively represent the potential demand-response resource that these customers would supply. Our analysis reveals that variability in pre-enrollment load patterns does indeed have great predictive power for estimating their impact on demand-response loads. Customers in relatively low-variability clusters provided limited or no response, whereas customers in relatively high-variability clusters consistently presented large load impacts, accounting for most of the program-level peak reductions. This study suggests that dynamic pricing programs themselves may not offer adequate motivation for meaningful adjustments in load patterns, particularly for customers in low-variability clusters. (C) 2015 Elsevier Ltd. All rights reserved.
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