TY - GEN
T1 - Impact of Smart Meter Measurement Granularity on Control Parameters of OLTC in Distribution Networks with PV
AU - Nakamura, Marika
AU - Kaneko, Akihisa
AU - Yoshizawa, Shinya
AU - Ishii, Hideo
AU - Hayashi, Yasuhiro
N1 - Funding Information:
This research was supported by the New Energy and Industrial Technology Development Organization.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In distribution networks, grid operators need to prevent voltage violations when photovoltaic generation increases. As a countermeasure, they apply sophisticated updating of the control parameters of on-load tap changers (OLTCs). Furthermore, to upgrade the grid operation, the measurement granularity of smart meters has been altered from 30-minute increments to shorter times. However, in terms of data communication load reduction, only a few smart meters need changes. In this study, we evaluate the effect of smart meter data with short measurement granularity on the voltage control performance of an OLTC. As a method of programming consumers to acquire data every 5 min, we selected the consumers measuring the high or low voltage among the past measured database. The numerical simulations showed that voltage violations occurred with control parameters using 30minute measurement data. However, this could completely be avoided by using 5-minute data.
AB - In distribution networks, grid operators need to prevent voltage violations when photovoltaic generation increases. As a countermeasure, they apply sophisticated updating of the control parameters of on-load tap changers (OLTCs). Furthermore, to upgrade the grid operation, the measurement granularity of smart meters has been altered from 30-minute increments to shorter times. However, in terms of data communication load reduction, only a few smart meters need changes. In this study, we evaluate the effect of smart meter data with short measurement granularity on the voltage control performance of an OLTC. As a method of programming consumers to acquire data every 5 min, we selected the consumers measuring the high or low voltage among the past measured database. The numerical simulations showed that voltage violations occurred with control parameters using 30minute measurement data. However, this could completely be avoided by using 5-minute data.
KW - distribution network
KW - on load tap changer
KW - photovoltaic system
KW - smart meter
KW - voltage control
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U2 - 10.1109/ISGT50606.2022.9817535
DO - 10.1109/ISGT50606.2022.9817535
M3 - Conference contribution
AN - SCOPUS:85134889490
T3 - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
BT - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Y2 - 24 April 2022 through 28 April 2022
ER -