DeepAI AI Chat
Log In Sign Up

Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction

08/22/2013
by   Tri Kurniawan Wijaya, et al.
EPFL
University of Waterloo
0

Recent work has suggested reducing electricity generation cost by cutting the peak to average ratio (PAR) without reducing the total amount of the loads. However, most of these proposals rely on consumer's willingness to act. In this paper, we propose an approach to cut PAR explicitly from the supply side. The resulting cut loads are then distributed among consumers by the means of a multiunit auction which is done by an intelligent agent on behalf of the consumer. This approach is also in line with the future vision of the smart grid to have the demand side matched with the supply side. Experiments suggest that our approach reduces overall system cost and gives benefit to both consumers and the energy provider.

READ FULL TEXT

page 1

page 2

page 3

page 4

07/25/2017

Resilient Energy Allocation Model for Supply Shortage Outages

Supply Shortage Outages are a major concern during peak demand for devel...
08/25/2017

Multi-Agent Q-Learning for Minimizing Demand-Supply Power Deficit in Microgrids

We consider the problem of minimizing the difference in the demand and t...
02/24/2023

Signalling for Electricity Demand Response: When is Truth Telling Optimal?

Utilities and transmission system operators (TSO) around the world imple...
12/11/2017

Novel paradigms for advanced distribution grid energy management

The electricity distribution grid was not designed to cope with load dyn...
05/16/2021

Dynamic Matching under Spatial Frictions

We consider demand and supply which arise i.i.d. uniformly in the unit h...
09/14/2018

Distributed and Efficient Resource Balancing Among Many Suppliers and Consumers

Achieving a balance of supply and demand in a multi-agent system with ma...
09/25/2021

Modelling the transition to a low-carbon energy supply

A transition to a low-carbon electricity supply is crucial to limit the ...