Analysing the ability of smart meter data to provide accurate information to the UK DNOs

Abstract

By 2020, smart meters will potentially provide the UK's distribution network operators (DNOs) with more detailed information about the real-time status of the low-voltage (LV) network. However, the smart meter data that the DNOs will receive has a number of limitations including the unavailability of some real-time smart meter data, aggregation of smart meter readings to preserve customer privacy, half-hourly averaging of customer demand/ generation readings, and the inability of smart meters to identify the connection phases. This research investigates how these limitations of the smart meter data can affect the estimation accuracy of technical losses and voltage levels in the LV network and the ways in which 1 min losses and correct phasing patterns can be determined despite the limitations in smart data.

Accurate Assessment of Decoupled OLTC Transformers to Optimize the Operation of Low-Voltage Networks

“…These series impedances are shown in Figure 5. A 4 × 4 series impedance matrix Z ij results from this model (7). The series impedance matrix is completely full for a three-phase four-wire line, with only non-null elements in one phase and neutral positions for two-phase or single-phase lines.…”

“…Below, the optimization problem detailed in Section 3 is solved for the specified load scenario and earthing configuration. The two control strategies (1P-OLTCST and 3P-OLTCST) are not only considered but also solved if the exact line model provided in [48] is assumed (7) or if there are insufficient line data and a simplified model (s.m.) is the only possibility (8).…”

“…Firstly, new low-carbon technologies cause new planning and operational problems that were never taken into account when passive consumers were the only clients connected to this voltage level [4][5][6]. Secondly, a much greater extent of new and detailed information is available from smart meters [7], generating a very valuable starting point for tackling these new planning and operational challenges.…”

Power Quality in Smart Distribution Systems with Electric Battery, Large Loads and PV Generation.

“…The PV system is capable of providing reactive power using an inverter. The total apparent power that the inverter is capable to inject to the grid is defined as S inv,npv , and the generation power of the PV system (P G npv and Q G npv ) is limited by the apparent power, as seen in equation (8).…”

“…That causes the sampling period to be reduced from hours to minutes [7]. Nowadays with the help of smart meters, the ability to read loads and generation values from 1 minute to two hours allows better control over the LV distribution network [8]. In literature it is common to see analysis performed on data with 15 minute resolution [9], [10].…”