Demand Response in the Smart Grid: the Impact of Consumers Temporal Preferences

11/30/2017
by   Paulin Jacquot, et al.
0

In Demand Response programs, price incentives might not be sufficient to modify residential consumers load profile. Here, we consider that each consumer has a preferred profile and a discomfort cost when deviating from it. Consumers can value this discomfort at a varying level that we take as a parameter. This work analyses Demand Response as a game theoretic environment. We study the equilibria of the game between consumers with preferences within two different dynamic pricing mechanisms, respectively the daily proportional mechanism introduced by Mohsenian-Rad et al, and an hourly proportional mechanism. We give new results about equilibria as functions of the preference level in the case of quadratic system costs and prove that, whatever the preference level, system costs are smaller with the hourly mechanism. We simulate the Demand Response environment using real consumption data from PecanStreet database. While the Price of Anarchy remains always close to one up to 0.1 hourly mechanism, it can be more than 10

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/29/2017

Demand Side Management in the Smart Grid: an Efficiency and Fairness Tradeoff

We compare two Demand Side Management (DSM) mechanisms, introduced respe...
research
12/22/2017

Analysis and Implementation of a Hourly Billing Mechanism for Demand Response Management

An important part of the Smart Grid literature on residential Demand Res...
research
07/26/2023

Equitable Time-Varying Pricing Tariff Design: A Joint Learning and Optimization Approach

Time-varying pricing tariffs incentivize consumers to shift their electr...
research
09/28/2017

Mechanism Design for Demand Response Programs with financial and non-monetary (social) Incentives

Most demand management approaches with non-mandatory policies assume ful...
research
09/19/2021

Wages and Utilities in a Closed Economy- A StrategicAnalysis

The broad objective of this paper is to initiate through a mathematical ...
research
08/14/2021

Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs

Our team is proposing to run a full-scale energy demand response experim...
research
07/12/2019

On the Price of Anarchy of Cost-Sharing in Real-Time Scheduling Systems

We study cost-sharing games in real-time scheduling systems where the ac...

Please sign up or login with your details

Forgot password? Click here to reset