Locational Marginal Pricing in the Campus Power System at the Power Distribution Level

Yingchen Zhang; Jun Hao; Yi Gu; Jun Zhang; David Gao

doi:10.1109/PESGM.2016.7741569

Locational Marginal Pricing in the Campus Power System at the Power Distribution Level

Yingchen Zhang, Jun Hao, Yi Gu, Jun Zhang, David Gao

Power Systems Engineering

University of Denver

Research output: Contribution to conference › Paper › peer-review

9 Scopus Citations

Abstract

In the development of smart grid at distribution level, the realization of real-time nodal pricing is one of the key challenges. The research work in this paper implements and studies the methodology of locational marginal pricing at distribution level based on a real-world distribution power system. The pricing mechanism utilizes optimal power flow to calculate the corresponding distributional nodal prices. Both Direct Current Optimal Power Flow and Alternate Current Optimal Power Flow are utilized to calculate and analyze the nodal prices. The University of Denver campus power grid is used as the power distribution system test bed to demonstrate the pricing methodology.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM.2016.7741569 https://doi.org/10.1109/PESGM.2016.7741569
State	Published - 10 Nov 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

NREL Publication Number

NREL/CP-5D00-67944

Keywords

Campus power system
Distribution locational marginal price
Distribution power system
Load shedding
Optimal power flow

UN SDGs

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

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Cite this

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title = "Locational Marginal Pricing in the Campus Power System at the Power Distribution Level",

abstract = "In the development of smart grid at distribution level, the realization of real-time nodal pricing is one of the key challenges. The research work in this paper implements and studies the methodology of locational marginal pricing at distribution level based on a real-world distribution power system. The pricing mechanism utilizes optimal power flow to calculate the corresponding distributional nodal prices. Both Direct Current Optimal Power Flow and Alternate Current Optimal Power Flow are utilized to calculate and analyze the nodal prices. The University of Denver campus power grid is used as the power distribution system test bed to demonstrate the pricing methodology.",

keywords = "Campus power system, Distribution locational marginal price, Distribution power system, Load shedding, Optimal power flow",

author = "Yingchen Zhang and Jun Hao and Yi Gu and Jun Zhang and David Gao",

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AU - Zhang, Yingchen

AU - Hao, Jun

AU - Gu, Yi

AU - Zhang, Jun

AU - Gao, David

PY - 2016/11/10

Y1 - 2016/11/10

N2 - In the development of smart grid at distribution level, the realization of real-time nodal pricing is one of the key challenges. The research work in this paper implements and studies the methodology of locational marginal pricing at distribution level based on a real-world distribution power system. The pricing mechanism utilizes optimal power flow to calculate the corresponding distributional nodal prices. Both Direct Current Optimal Power Flow and Alternate Current Optimal Power Flow are utilized to calculate and analyze the nodal prices. The University of Denver campus power grid is used as the power distribution system test bed to demonstrate the pricing methodology.

AB - In the development of smart grid at distribution level, the realization of real-time nodal pricing is one of the key challenges. The research work in this paper implements and studies the methodology of locational marginal pricing at distribution level based on a real-world distribution power system. The pricing mechanism utilizes optimal power flow to calculate the corresponding distributional nodal prices. Both Direct Current Optimal Power Flow and Alternate Current Optimal Power Flow are utilized to calculate and analyze the nodal prices. The University of Denver campus power grid is used as the power distribution system test bed to demonstrate the pricing methodology.

KW - Campus power system

KW - Distribution locational marginal price

KW - Distribution power system

KW - Load shedding

KW - Optimal power flow

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DO - 10.1109/PESGM.2016.7741569

M3 - Paper

AN - SCOPUS:85001577024

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Locational Marginal Pricing in the Campus Power System at the Power Distribution Level

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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