TY - GEN
T1 - A Practical Approach to Energy Scheduling
T2 - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
AU - Pilz, Matthias
AU - Nebel, Jean Christophe
AU - Ai-Fagih, Luluwah
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/10
Y1 - 2018/12/10
N2 - Demand-side management (DSM) schemes have widely been analysed in the context of the future smart grid. Often they are based on game-Theoretic approaches to schedule the electricity consumption of its participants such that it results in small peak-To-Average ratios of the aggregated load. In order to guarantee high comfort levels for the consumer, we investigate a DSM scheme on the basis of individually owned energy storage systems. In addition to an advanced battery model, the scheme includes local renewable energy generation and forecasting errors. Starting from an existing discrete time dynamic game between the households of a neighbourhood, we propose two refinements. Statistical analysis of long term simulations show the benefits of the novel approach. Based on the improved scheduling technique, we discuss the added value of the dynamic game in comparison to a scenario without interaction between the households and conclude whether it is worth implementing such a DSM scheme.
AB - Demand-side management (DSM) schemes have widely been analysed in the context of the future smart grid. Often they are based on game-Theoretic approaches to schedule the electricity consumption of its participants such that it results in small peak-To-Average ratios of the aggregated load. In order to guarantee high comfort levels for the consumer, we investigate a DSM scheme on the basis of individually owned energy storage systems. In addition to an advanced battery model, the scheme includes local renewable energy generation and forecasting errors. Starting from an existing discrete time dynamic game between the households of a neighbourhood, we propose two refinements. Statistical analysis of long term simulations show the benefits of the novel approach. Based on the improved scheduling technique, we discuss the added value of the dynamic game in comparison to a scenario without interaction between the households and conclude whether it is worth implementing such a DSM scheme.
UR - http://www.scopus.com/inward/record.url?scp=85060260411&partnerID=8YFLogxK
U2 - 10.1109/ISGTEurope.2018.8571522
DO - 10.1109/ISGTEurope.2018.8571522
M3 - Conference contribution
AN - SCOPUS:85060260411
T3 - Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
BT - Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 October 2018 through 25 October 2018
ER -