Title :
Discrete elastic residential load response under variable pricing schemes
Author :
McKenna, Killian ; Keane, Andrew
Author_Institution :
Electr. Res. Centre, Univ. Coll. Dublin, Dublin, Ireland
Abstract :
The introduction of variable pricing schemes has potential impacts for low voltage (LV) distribution networks with regards to load diversity and peak demand. Households are being equipped communication systems that give consumers a greater visibility of electricity prices facilitating greater market engagement and demand response. This paper presents a bottom-up load model coupled with a novel methodology to capture the discrete, bounded and uncertain consumer response to variable prices. The model uses Monte Carlo simulation techniques and price elasticity matrices to affect the probability of consumption, taking into account detailed consumer characteristics and appliance operation. The model is used to run a high resolution simulation of residential load response and to quantify behavioral changes using standard load metrics.
Keywords :
Monte Carlo methods; distribution networks; matrix algebra; power markets; LV distribution networks; Monte Carlo simulation techniques; demand response; discrete elastic residential load response; load diversity; low voltage distribution networks; market engagement; peak demand; price elasticity matrices; standard load metrics; variable pricing schemes; Data models; Elasticity; Home appliances; Lighting; Load modeling; Pricing; Switches; Demand Response; Distribution Networks; Load Modelling; Price-Response; Residential Load Sector; Smart Grids;
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Conference_Location :
Istanbul
DOI :
10.1109/ISGTEurope.2014.7028769