DocumentCode :
253297
Title :
Coincident demand based Smart Long Run Incremental Cost pricing model
Author :
Sharma, Ashok ; Bhakar, Rohit ; Tiwari, H.P.
Author_Institution :
Dept. of Electr. Eng., MNIT Jaipur, Jaipur, India
fYear :
2014
fDate :
9-11 May 2014
Firstpage :
1
Lastpage :
4
Abstract :
Impending Smart Grid environment can offer innovative solutions to alleviate network congestion through efficient network management. This paper proposes a coincident demand based Smart Long Run Incremental Cost (LRIC) pricing mechanism to provide efficient pricing signal to users for mitigating network congestion. Considering that future smart meters would measure user´s coincident peak demand, the user is offered a coincident demand based Smart Pricing signal in a LRIC pricing framework. The proposed approach is applied on 22-bus practical Indian reference network. Users connected at the various nodes face network charges based on their coincident demand to each upstream asset. The results encourage users to modify their consumption pattern, and reduce their coincidence to network peak usage.
Keywords :
demand side management; power system economics; pricing; smart meters; smart power grids; 22-bus practical Indian reference network; LRIC pricing model; coincident demand based smart pricing signal; network congestion; network pricing; smart grid environment; smart long run incremental cost pricing model; smart meters; Computational modeling; Pricing; Reliability; LRIC; coincidence factor; network pricing; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances and Innovations in Engineering (ICRAIE), 2014
Conference_Location :
Jaipur
Print_ISBN :
978-1-4799-4041-7
Type :
conf
DOI :
10.1109/ICRAIE.2014.6909280
Filename :
6909280
Link To Document :
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