DocumentCode :
253782
Title :
Symplectic numeric integration for coarse-grained event-driven electricity metering
Author :
Simonov, Mikhail
Author_Institution :
Ist. Superiore Mario Boella, Turin, Italy
fYear :
2014
fDate :
12-15 Oct. 2014
Firstpage :
1
Lastpage :
5
Abstract :
This article describes geometrical numeric integration applied to coarse-grained cycle-precise event-driven measurements of electrical energy. The proposed simplectic method draws from Stormer-Verlet and leapfrog algorithms in order to provide operational intelligence tools to analyze the amounts of analytical energy data. The proposed tool is extremely quick. Being very simple in computational terms, it suites real-time usages. This work extends the event-driven measurement approaches.
Keywords :
metering; power markets; Stormer-Verlet algorithms; coarse-grained cycle-precise event-driven measurements; coarse-grained event-driven electricity metering; electrical energy; event-driven measurement approaches; leapfrog algorithms; symplectic numeric integration; Electricity; Energy measurement; Indexes; Real-time systems; Time division multiplexing; Time measurement; Electricity metering; Energy management; Event detection; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/ISGTEurope.2014.7028860
Filename :
7028860
Link To Document :
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