Chen, Q, Kaleshi, D, Fan, Z and Armour, S (2016) Impact of Smart Metering Data Aggregation on Distribution System State Estimation. IEEE Transactions On Industrial Informatics, 12 (4). 1426 - 1437. ISSN 1551-3203

[thumbnail of ALL_TII-16-0136.pdf]
ALL_TII-16-0136.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.

Download (3MB) | Preview


Pseudo MV/LV (Medium/Low Voltage) transformer loads are usually used as partial inputs to the Distribution System
State Estimation (DSSE) in MV systems. Such pseudo load can be represented by the aggregation of Smart Metering (SM) data. This follows the government restriction that Distribution Network Operators (DNOs) can only use aggregated SM data. Therefore, we assess the subsequent performance of DSSE, which shows the impact of this restriction - it affects the voltage angle estimation significantly. The possibilities for improving the DSSE accuracy under this restriction are further studied. First, two strategies that can potentially relax this restriction’s impact are studied: the correlations among pseudo loads’ errors are taken into account in the DSSE process; a power loss estimation method is proposed. Second, the investments (i.e., either adding measurement devices or increasing the original devices’ accuracy) for the satisfactory DSSE results are assessed. All these are for addressing DNOs’ concerns on this restriction.

Item Type: Article
Uncontrolled Keywords: Distribution system state estimation (DSSE), medium voltage power system, smart meter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Related URLs:
Depositing User: Symplectic
Date Deposited: 11 May 2018 08:07
Last Modified: 10 Feb 2021 16:09

Actions (login required)

View Item
View Item