LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems

Sara Deilami; Bahman Naghibi; Keyhaneh Janfeshan

doi:10.1109/AUPEC.2014.6966570

LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems

Sara Deilami, Bahman Naghibi, Keyhaneh Janfeshan

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers' premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.

Original language	English
Title of host publication	2014 Australasian Universities Power Engineering Conference
Subtitle of host publication	AUPEC 2014 proceedings
Editors	A. Abu-Siada, M. A. S. Masoum
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Electronic)	9780646923758
DOIs	https://doi.org/10.1109/AUPEC.2014.6966570
Publication status	Published - 2014
Externally published	Yes
Event	24th Australasian Universities Power Engineering Conference, AUPEC 2014 - Perth, Australia Duration: 28 Sep 2014 → 1 Oct 2014

Other

Other	24th Australasian Universities Power Engineering Conference, AUPEC 2014
Country/Territory	Australia
City	Perth
Period	28/09/14 → 1/10/14

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Deilami, S., Naghibi, B., & Janfeshan, K. (2014). LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems. In A. Abu-Siada, & M. A. S. Masoum (Eds.), 2014 Australasian Universities Power Engineering Conference: AUPEC 2014 proceedings (pp. 1-6). [217] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/AUPEC.2014.6966570

Deilami, Sara ; Naghibi, Bahman ; Janfeshan, Keyhaneh. / LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems. 2014 Australasian Universities Power Engineering Conference: AUPEC 2014 proceedings. editor / A. Abu-Siada ; M. A. S. Masoum. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 1-6

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abstract = "Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers' premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.",

author = "Sara Deilami and Bahman Naghibi and Keyhaneh Janfeshan",

year = "2014",

doi = "10.1109/AUPEC.2014.6966570",

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Deilami, S, Naghibi, B & Janfeshan, K 2014, LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems. in A Abu-Siada & MAS Masoum (eds), 2014 Australasian Universities Power Engineering Conference: AUPEC 2014 proceedings., 217, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 24th Australasian Universities Power Engineering Conference, AUPEC 2014, Perth, Australia, 28/09/14. https://doi.org/10.1109/AUPEC.2014.6966570

LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems. / Deilami, Sara; Naghibi, Bahman; Janfeshan, Keyhaneh.

2014 Australasian Universities Power Engineering Conference: AUPEC 2014 proceedings. ed. / A. Abu-Siada; M. A. S. Masoum. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1-6 217.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N2 - Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers' premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.

AB - Future smart grids (SGs) are expected to include distributed generations (DG), plug-in electric vehicles (PEVs) and smart appliances, as well as nonlinear industrial loads that may decrease grid efficiency and deteriorate the quality of electric power. This paper performs optimal (load tap changer)LTC and switched shunt capacitor (SSC) in SGs with nonlinear loads, wind distributed generation (WDGs) systems and PEV charging at consumers' premises and PEV charging stations (PEV-CSs). The substantial grid energy requirements at high PEV penetrations is assumed to be partially supplied by WDGs located within the distribution network. PEV charging is performed based on a recently proposed online maximum sensitivities selection based coordination algorithm (OL-MSSCA), nonlinear loads are assumed to inject low order odd current harmonics and WDGs are treated as negative PQ loads in the employed decoupled harmonic load flow (DHLF) algorithm. Simulations are performed for the modified IEEE 23kV distribution system with three WDGs, three PEV-CSs and 22 low voltage residential networks with PEVs. Impacts of PEV coordination and WDG on the LTC/SSC scheduling outcomes including grid losses, voltage profiles and THDs are investigated.

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Deilami S, Naghibi B, Janfeshan K. LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems. In Abu-Siada A, Masoum MAS, editors, 2014 Australasian Universities Power Engineering Conference: AUPEC 2014 proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 1-6. 217 https://doi.org/10.1109/AUPEC.2014.6966570

LTC and switched shunt capacitor scheduling in smart grid with electric vehicles and wind distributed generation systems

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