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

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

Research output: Contribution to conferencePaperpeer-review

7 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 languageAmerican English
Number of pages5
DOIs
StatePublished - 10 Nov 2016
Event2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Conference

Conference2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/TerritoryUnited States
CityBoston
Period17/07/1621/07/16

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

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