TITLE:
Study on Demand Response of Residential Power Customer
AUTHORS:
Xiu Cao, Haiyong Jiang, Lei Huang, Xueping Wang, Xuqi Zhang
KEYWORDS:
Demand Response, Ladder Pricing, Price Elasticity, Ladder Pricing Optimization
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.4 No.7,
July
25,
2016
ABSTRACT: In order to
optimize the ladder-pricing scheme in Shanghai, we present a multi-objective
optimization model (MOOM). To build this model, first we use price elasticity
theory; divide the ladder pricing into peak electricity bill and valley
electricity bill in the time dimension to model the single-user demand
response. Second based on the single-user demand response model, combined with
the overall users’ electricity distribution density function, we build an
all-users demand response model. The proposed model has two objectives:
minimize energy consumption and maximize residents’ satisfaction. Simulation
results confirm that the proposed model can optimize the ladder-pricing scheme.