Workspace

GRID-IN: an analytical system for reducing losses in 0.4 kV networks

For the technical staff of a distribution company: what the system takes as input, what it consists of, what it delivers and how it fits into daily work.

1. Purpose

GRID-IN detects non-technical losses and calculates technical losses in 0.4 kV distribution networks from metering data (AMI), billing and network diagrams. The result is a list of objects for field inspection with estimated unmetered energy and probability of confirmation, plus the network state and losses by section.

2. Input data

DataPurpose
Load profiles of consumer meters and the substation input meterbasis of all methodsrequired
Balance groups (which meters belong to which substation)if absent, assembled automaticallydesirable
Consumer register: meter, address, account, CT ratiotarget addresses, metering reconciliationdesirable
Meter event logsevent analysisdesirable
Monthly billingbilling analysis, metering reconciliationdesirable
Single-line diagram of the 0.4 kV networknetwork state and technical lossesdesirable

Details — on the “Data requirements” page.

3. Components

PREPdata preparation
GRIDCObalance groups
GRIDJObalance without a diagram
GRIDSOevents and billing
GRIDTOnetwork state from the diagram
FUSIONone list
Deliveryweb, phone, files, API

PREP — data preparation

Input
  • profiles, events, billing
  • register, diagram, map
Action
  • filtering and finding errors in the data
  • reconciling metering with the register and billing
  • comparing the map and the diagram
Output
  • clean data, digital diagram
  • meters not reporting; meters with mismatches
  • houses without a service connection on the diagram

GRIDCO — balance groups

Input
  • profiles of consumer and transformer meters
Action
  • no groups — assembles them
  • groups exist — verifies them
Output
  • assignment of meters to transformers
  • list of mismatches with the diagram and records

GRIDJO — balance method without a network diagram

Input
  • balance group: substation input and consumer meters with profiles
Action
  • balance method based on correlation and regression
  • does not lose accuracy as the imbalance grows
Output
  • unmetered consumption with an energy estimate
  • faulty and “extra” meters

GRIDSO — analysis of events, billing and profiles

Input
  • meter event logs
  • billing, profiles
Action
  • analysis of patterns and events
Output
  • unmetered consumption
  • meter faults
  • cryptocurrency mining

GRIDTO — network state calculation from the diagram

Input
  • single-line diagram and profiles
  • phasing, node voltages and refined line lengths are determined by the module itself
Action
  • calculation of the network as a physical circuit
  • search for anomalies by section
Output
  • currents, voltages, losses and load by section and node
  • anomalous sections and meters

FUSION — combining the results

Input
  • results of GRIDCO, GRIDJO, GRIDSO, GRIDTO
Action
  • combining the findings of all methods into one score
Output
  • one list of targets with type of irregularity, energy and probability

Each method works with the data available and does not wait for the others. A finding confirmed by several methods gets a higher score.

4. What the user gets

Field target register

Workspace

Technical losses

Visit outcomes

The crew records for each target: “confirmed”, “not confirmed”, “no access”. Outcomes are visible in the register and in the project summary.

5. Working with data

6. Integration

A REST API with key access: data upload, project creation, calculation start, task status, calculation summary, target list, visit outcomes. GRID-IN plugs into the metering system, billing or a field-work management system without manual exports.

7. Deployment and access

8. Roll-out

StageContentResult
1. Pilotexport for several substations over one period; if available — diagrams, events, billingtarget register and technical losses per substation
2. Verificationfield visits by the register, outcomes recordedshare of confirmed targets
3. Roll-outa whole district or branch, regular uploads by hand or via the APIcontinuous loss control

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