Coincident demand based Smart Long Run Incremental Cost pricing model

Amita Sharma; Rohit Bhakar; H. P. Tiwari

doi:10.1109/ICRAIE.2014.6909280

Coincident demand based Smart Long Run Incremental Cost pricing model

Amita Sharma
, Rohit Bhakar
, H. P. Tiwari

Department of Electronic & Electrical Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

2 Citations (SciVal)

271 Downloads (Pure)

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.

Original language	English
Title of host publication	International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014
Publisher	IEEE
ISBN (Print)	9781479940400
DOIs	https://doi.org/10.1109/ICRAIE.2014.6909280
Publication status	Published - 1 Jan 2014
Event	International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014 - Jaipur, UK United Kingdom Duration: 9 May 2014 → 11 May 2014

Conference

Conference	International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014
Country/Territory	UK United Kingdom
City	Jaipur
Period	9/05/14 → 11/05/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

coincidence factor
LRIC
network pricing
smart grid

Access to Document

10.1109/ICRAIE.2014.6909280

Accepted VersionAccepted author manuscript, 657 KB

Cite this

Sharma, A, Bhakar, R & Tiwari, HP 2014, Coincident demand based Smart Long Run Incremental Cost pricing model. in International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014., 6909280, IEEE, International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014, Jaipur, UK United Kingdom, 9/05/14. https://doi.org/10.1109/ICRAIE.2014.6909280

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title = "Coincident demand based Smart Long Run Incremental Cost pricing model",

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.",

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AU - Bhakar, Rohit

AU - Tiwari, H. P.

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N2 - 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.

AB - 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.

KW - coincidence factor

KW - LRIC

KW - network pricing

KW - smart grid

UR - https://www.scopus.com/pages/publications/84908627941

UR - http://dx.doi.org/10.1109/ICRAIE.2014.6909280

U2 - 10.1109/ICRAIE.2014.6909280

DO - 10.1109/ICRAIE.2014.6909280

M3 - Chapter in a published conference proceeding

AN - SCOPUS:84908627941

SN - 9781479940400

BT - International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014

PB - IEEE

T2 - International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2014

Y2 - 9 May 2014 through 11 May 2014

ER -

Coincident demand based Smart Long Run Incremental Cost pricing model

Abstract

Conference

UN SDGs

Keywords

Access to Document

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