Presented by

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Real-time

Loadforecasting

on in-memory technology

Robin Hagemans

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Alliander – Key Figures

POSITION IN THE VALUE CHAIN

LARGEST ENERGY GRID COMPANY

IN THE NETHERLANDS

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High Voltage (380kV – 10kV)

The Energy System - Manage & Control

Main tasks Gridoperator: • Outages • Assets • Facilitate ET Focus on MV/LV

Mid Voltage (10kV)

Low Voltage (230V – 10kV)

Control

Center

Control

Center

…..to a more sustainable system

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Controlling the Sustainable grid - New Tools Needed!-

o Advanced Real-time based

• Trimming of parameters

• Quality of Geospatial background

o Broader Insight on Context Parameters

• Integrating models (Analytics)

• Stronger visualization

o Short Term Forecast focus (Hours i.s.o. Years)

• Simulation & Scenarioplay

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Several Solutions - Smart Grid Analytics Tools

1. Strategic Loadforecasting

2. Condition based Outage Prediction

3. Fault Location Pointer

Realtime Loadforecasting 1. Power Quality Alert App (for Smartphone)

2. Grid Quality Suite

3. Meta Analytics (Hypercubes)

4. ……next ideas

4.

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Realtime Loadforecasting- Solution Context

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Real-time Load

Forecasting

Load sensor

data into OSI

Continuous display

of historical data and

forecast

Real-time

Alerting

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Realtime Loadforecasting - Architecture

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Grid and Asset

Master data

Grid and

Sensor data

Tables Procedures

for write

back

Tables R algorithm

procedures,

e.g.

Forecasting

Analytical

Reporting

Forecasting

algorithm

Event-driven

Analytics

External data: - Weather

Forecasting

results + Asset data

1:1 load of OSI data +

aggregated data of ESP

Provide Forecasts to PI

for internal analysis

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Realtime Loadforecasting - The Cockpit

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o New parameters

o Optimizing the cockpit

o Variables opt in / out

o Freezing the first release of

Architecture

Realtime Loadforecasting - Next Steps

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Robin Hagemans MSc

robin.hagemans@alliander.com

Manager Grid Information & Control

Alliander, The Netherlands

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