Optimization Online


Optimal time-and-level-of-use price setting for an energy retailer

Miguel F. Anjos(Miguel.F.Anjos***at***ed.ac.uk)
Luce Brotcorne(luce.brotcorne***at***inria.fr)
Juan A. Gomez-Herrera(juan.gomez***at***polymtl.ca)

Abstract: This paper presents a novel price setting optimization problem for an energy retailer in the smart grid. In this framework the retailer buys energy from multiple generators via bilateral contracts, and sells it to a population of smart homes using Time-and-Level-of-Use prices (TLOU). TLOU is an energy price structure recently introduced in the literature, where the prices vary depending on the time and the level of consumption. This problem is formulated as a bilevel optimization problem, in which the energy retailer wants to set the prices that maximize the profit, anticipating the reaction of a population that wants to minimize the total cost. We explicitly consider the users load shifting preferences, their shifting decisions, and the level of consumption in the definition of the price structure. The optimization problem is reformulated as a single-level problem to be solved by off-the-shelf solvers. Computational experiments validate the performance of TLOU and show that the retailerís economical benefit is enhanced through the implementation of this type of demand response program, while providing savings for the consumers.

Keywords: Demand-Response, Price-Setting, Bilevel Optimization, TLOU, Smart Buildings, Smart Grid

Category 1: Applications -- Science and Engineering (Smart Grids )

Category 2: Integer Programming ((Mixed) Integer Linear Programming )

Category 3: Other Topics (Game Theory )

Citation: November/2019

Download: [PDF]

Entry Submitted: 11/12/2019
Entry Accepted: 11/12/2019
Entry Last Modified: 11/12/2019

Modify/Update this entry

  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository


Coordinator's Board
Classification Scheme
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society