| ID | 150365 |
| Title Proper | Variability of electricity load patterns and its effect on demand response |
| Other Title Information | a critical peak pricing experiment on Korean commercial and industrial customers |
| Language | ENG |
| Author | Eom, Jiyong ; Dongsik Jang, Jiyong Eom, Min Jae Park, Jae Jeung Rho ; Jang, Dongsik ; Rho, Jae Jeung ; Park, Min Jae |
| Summary / Abstract (Note) | 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. |
| `In' analytical Note | Energy Policy Vol. 88, No.88; Jan 2016: p.11–26 |
| Journal Source | Energy Policy 2016-01 88, 88 |
| Key Words | Demand Response ; Heterogeneity ; Critical Peak Pricing ; Variability of Load Patterns ; Clustering of Customers ; Load Impacts |