Determining PV penetration for distribution systems with time-varying load models

Hung, Duong Quoc, Mithulananthan, Nadarajah and Lee, Kwang Y. (2014) Determining PV penetration for distribution systems with time-varying load models. IEEE Transactions on Power Systems, 29 6: 3048-3057. doi:10.1109/TPWRS.2014.2314133

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Author Hung, Duong Quoc
Mithulananthan, Nadarajah
Lee, Kwang Y.
Title Determining PV penetration for distribution systems with time-varying load models
Journal name IEEE Transactions on Power Systems   Check publisher's open access policy
ISSN 0885-8950
1558-0679
Publication date 2014-04-14
Year available 2014
Sub-type Article (original research)
DOI 10.1109/TPWRS.2014.2314133
Open Access Status
Volume 29
Issue 6
Start page 3048
End page 3057
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2015
Language eng
Formatted abstract
A constant or voltage-dependent load model is usually assumed in most distributed generation (DG) planning studies. However, this paper proposes several different types of time-varying voltage-dependent load models to determine the penetration level of photovoltaic (PV) units in a distribution network. Here, a new analytical expression is first proposed to size a PV unit, which can supply active and reactive powers. This expression is based on the derivation of a multiobjective index (IMO) that is formulated as a combination of three indices, namely active power loss, reactive power loss and voltage deviation. The expression is then adapted to allocate PV units while considering the time-varying load models and probabilistic PV generation. The effectiveness of the proposed approach was validated on 69- and 33-bus test distribution systems. The results showed that PV allocation with different types of time-varying load models can produce dissimilar penetration levels.
Keyword Distributed power generation
Loss reduction
Multiobjective index
Photovoltaic (PV) penetration
PV systems
Power generation planning
Power system planning
Solar energy
Time-varying load model
Voltage deviation
Photovoltaic systems
Photovoltaic penetration
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 11 times in Scopus Article | Citations
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Created: Tue, 15 Apr 2014, 13:53:56 EST by Hung Quoc Duong on behalf of School of Information Technol and Elec Engineering