Title
Measuring and controlling unfairness in decentralized planning of energy demand
Author
Pournaras, E.
Vasirani, M.
Kooij, R.E.
Aberer, K.
Publication year
2014
Abstract
Demand-side energy management improves robustness and efficiency in Smart Grids. Load-adjustment and load-shifting are performed to match demand to available supply. These operations come at a discomfort cost for consumers as their lifestyle is influenced when they adjust or shift in time their demand. Performance of demand-side energy management mainly concerns how robustness is maximized or discomfort is minimized. However, measuring and controlling the distribution of discomfort as perceived between different consumers provides an enriched notion of fairness in demand-side energy management that is missing in current approaches. This paper defines unfairness in demand-side energy management and shows how unfairness is measurable and controllable by software agents that plan energy demand in a decentralized fashion. Experimental evaluation using real demand and survey data from two operational Smart Grid projects confirms these findings. © 2014 IEEE.
Subject
Communication & Information
PNS - Performance of Networks & Services
TS - Technical Sciences
Infrastructures
Information Society
agent
demand
fairness
load-adjustment
load-shifting
planning
Smart Grid
unfairness
Agents
Planning
Smart power grids
demand
fairness
load-adjustment
load-shifting
Smart grid
unfairness
Energy management
To reference this document use:
http://resolver.tudelft.nl/uuid:8af959e3-ea1b-4b79-b6b0-7166a374e874
DOI
https://doi.org/10.1109/energycon.2014.6850584
TNO identifier
513389
Publisher
IEEE Computer Society, Piscataway, NJ
Source
2014 IEEE International Energy Conference, ENERGYCON 2014, 13-16 May 2014, Dubrovnik, Croatia, 1255-1262
Document type
conference paper