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TitleLinearized Model for Active and Reactive LMP Considering Bus Voltage Constraints
Creator
Date Issued2018-12-21
Conference NameIEEE Power and Energy Society General Meeting
Source PublicationIEEE Power and Energy Society General Meeting
ISSN1944-9925
Volume2018-August
Conference Date5 August 2018--10 August 2018
Conference PlacePortland
Abstract

With the increasing integration of large scale renewable energy into power system and the variation of bus voltage, the pricing of reactive power is more necessary than ever before. This paper proposes a novel model to calculate active and reactive Locational Marginal Price (LMP) simultaneously based on a linear optimal power flow (LOPF). First, an augmented Generation Shift Distribution Factors (GSDF) is introduced based on the linear power flow model with considerations of bus voltage and reactive power. Second, the linear optimal power flow model is constructed using GSDF to jointly calculate active LMP and reactive LMP. Third, the components of LMP such as the energy component, line congestion component, and voltage constraint component are derived from LOPF model. Finally, the case study on IEEE 30-bus case illustrates that the model outperforms the DCOPF on the active LMP, and presents acceptable results on reactive LMP compared with ACOPF.

KeywordLinear Optimal Power Flow Linear Power Flow LMP LMP decomposition Reactive power pricing
DOI10.1109/PESGM.2018.8586191
URLView source
Language英语English
Scopus ID2-s2.0-85060785876
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9135
CollectionResearch outside affiliated institution
Affiliation
1.Department of Electrical Engineering,Tsinghua University,Beijing,China
2.Economic Research Institute,State Grid Qinghai Electric Power Company,Xining,China
Recommended Citation
GB/T 7714
Hou, Qingchun,Zhang, Ning,Yang, Jingweiet al. Linearized Model for Active and Reactive LMP Considering Bus Voltage Constraints[C], 2018.
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