DocumentCode :
729397
Title :
Multi-agent signal filtering for electrical energy demand management
Author :
Opalinski, Artur
Author_Institution :
Fac. of Electr. & Control Eng., Gdansk Univ. of Technol., Gdansk, Poland
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
261
Lastpage :
266
Abstract :
Consumers participating in electrical energy Demand Response (DR) programs may be exposed to energy-use related decisions at instants of time which are generally hard to predict. This is especially cumbersome to residential consumers who are less capable of investing in special equipment, or devoting significant time to analyze information and take decisions. To ease residential consumer participation, a multi-agent system proposed in this paper filters DR dispatch signals based on participants´ periodic preferences. Thus dispatches appear to consumers in a possibly periodic manner, i.e. at more predictable instants of time from consumer point of view. Additionally, the probability of execution may increase as these instants are defined by consumers themselves. DR needs not matching any participant preferences remain to be covered by other, traditional means. When preference windows are expressed as periodic, DR dispatches appear to these consumers only in these windows, as if dispatches only happen periodically.
Keywords :
demand side management; filtering theory; load dispatching; multi-agent systems; probability; DR dispatch signal; DR program; electrical energy demand management; electrical energy demand response program; energy-use related decision; multiagent signal filtering; multiagent system; periodic preference; preference window; probability; residential consumer participation; Energy consumption; Filtering; Harmonic analysis; Manuals; Power demand; Power harmonic filters; Pricing; Information filtering; Multi-agent systems; Power demand; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on
Conference_Location :
Gdynia
Print_ISBN :
978-1-4799-8320-9
Type :
conf
DOI :
10.1109/CYBConf.2015.7175943
Filename :
7175943
Link To Document :
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