2016/09/16 by Yang Yu, Yu, Yang, Guangyi Liu +13
Energy · Engineering · #Electric Power System Optimization #Energy, Environment, and Transportation Policies #FOS: Economics and business #General Economics (econ.GN) #Smart Grid Energy Management #Smart Parking Systems Research
paper · pdf · doi:10.48550/arxiv.1701.02646
openalex publication_date 2016/09/16 · openalex created_date 2021/02/01 · openalex updated_date 2026/07/28
In this paper, we demonstrate that a consumer's marginal system impact is\nonly determined by their demand profile rather than their demand level. Demand\nprofile clustering is identical to cluster consumers according to their\nmarginal impacts on system costs. A profile-based uniform-rate price is\neconomically efficient as real-time pricing. We develop a criteria system to\nevaluate the economic efficiency of an implemented retail price scheme in a\ndistribution system by comparing profile clustering and daily-average\nclustering. Our criteria system can examine the extent of a retail price\nscheme's inefficiency even without information about the distribution system's\ndaily cost structure. We analyze data from a real distribution system in China.\nIn this system, targeting each consumer's high-impact days is more efficient\nthan target high-impact consumers.\n