making things smart - big data paris 2020 · innovation requires active presence at the customer...
TRANSCRIPT
© Actility 1
Adjusting energy flows
the example of Smart grids
Making Things Smart
© Actility 2
Smart Grid market dynamics
New challenges
New paradigm
Utility Deregulation Innovation requires active presence
at the customer premises
(smart-metering, demand management)
Renewable Energies Requires active production
management
Electric Vehicles Requires active distribution
network management
Smart Objects Things get connected
(GPSs, Cars, Appliances…)
© Actility 3
Legacy paradigm of power grids
Demand is random but can be
predicted
Production can be planned
3
© Actility 4
French electricity system organisation
Fournisseur
Responsable d’équilibre
Acteur d’ajustement
Source: Pacte électrique breton
© Actility 5
Electricity markets
5
Forecast consumption for
15/11/2013 (Profiling)
Purchase of base power
Purchase of peak power blocs
MWh
t
Last spot
purchases 11AM
P = C
© Actility 6
The grid balancing market
In general actual consumption ≠ forecast and P≠C
6
© Actility 7
Management of balancing reserves
7
© Actility 8
The world changes
Random production
from renewables Intelligent consumption
© Actility 9
Two main problems
W
1/ Pick
2/ Balancing
© Actility 10
Fast reserve: expensive & carbon
intensive
12 GW of installed power
Fuel, Natural Gas
10,2% of capacity around Paris
Over 4GW to build
Example of France
© Actility 11
The upcoming paradigm
is random but can be predicted
can be planned
Demand
Production
© Actility 12
Load Shifting & Demand Response
The solutions cover load shifting (LS) and
demand response (DR).
Both solutions perform a bottom-up quantitative analysis
based on a physical model of the process under control
© Actility 13
Demand Response
Balancing mechanism (C=P)
TSO, Energy suppliers
Industrial processes modeling
Aggregation De-aggregation engine
and quantitative bidding
:
Automated
bids
Determine
flexibility
© Actility 14
Smart meters for real time load
curves
MWh
t
Upstream and downstream data counter
# of metter 38 000 000 France
Data collect 10 minutes (every)
Per month 166 896 000 000 data points (average)
Per year 1 997 280 000 000 data points
© Actility 15
Other data involved & analysis
Environmental data
Temperature. Correlation analysis with the consumption
Inverse thermal modeling
• LS, EPC (CPE)
CO2
• Low energy buildings (BBC, BePos)
Open data
Weather forecast
• Predictive analysis
Energy market price
• Predictive analysis
Energy production data Storage
Every 10 seconds!
Multi-fluid metering
Gas, Water
Shared data collection infrastructure!
© Actility 16
Big Data to absorb simultaneous
massive data collection
Carrier grade / high availability DataLogger, ETSI M2M
based
© Actility 17
Connectors to main Big Data
Platforms
To reverse
proxies
(mId,mIa)
SITE 1
NSCL state DB
NSCL container DB cluster
(SQL containers)
NSCL container (NoSQL)
NSCL stateless farm
dynamoDB
To SQL DBs
…
© Actility 18
Activating the distribution network
Real-time monitoring and Admission Control (AC) of
electricity distribution networks become unavoidable
Increased renewable production power: correlated production peaks
Increased EV penetration: correlated demand peaks
Distribution network admission control applications
Distribution grid modeling (topology, profiled loads)
Real-time state monitoring and simulation
Real-time admission control for relevant loads (renewable power
plants, charging networks)
Wind farms & PV controlled
stalling
© Actility 19
EV charging architecture
Meter
C10
Advanced charging
communication VE
Local Electricity
management
Standard charging
(Control mode 3)
Ctrl mode 3
+ PLC 15118
DSO
Dispatcher Services
Authentication
Demand
Response
CENELEC/PT4
features
IP
EnR locale
Roaming
Clearing
Condominium sub-
metering management
