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TRANSCRIPT
Nowcasting of PV Power Feed-in High Availability Self-consumption
Dr. Heidrun Misfeld Solar Integration Workshop 2017 Berlin, 24. October 2017
Company Profile
Integration of renewables into grids and markets
Service provider for energy meteorology since 2004
Areas of business
– wind and solar power predictions and nowcasting
– software for virtual power plants and demand side management
– industry projects, national and international research projects
Customers
− grid operators
− direct marketers / traders
80 people
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Nowcasting of PV power feed-in
self-consumption
high availability
17. October 2017 12 UTC
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High availability of PV power nowcasting
inverter measurements
failsafe IT infrastructure
solar irradiance from satellite
delivery of combined estimate
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Combination of PV power estimates
Regional nowcast
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Combination of PV power estimates
failure
Regional nowcast
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Combination of PV power estimates
failure
Regional nowcast
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Combination of PV power estimates
failure
Regional nowcast
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Combination of PV power estimates
failure
Regional nowcast
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PV Power feed-in
power feed-in = power generation – self-consumption
modelling share of PV systems with self-consumption for classes of different system sizes
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Self-consumption modelling
power feed-in = power generation – self-consumption
measurements of PV generation and feed-in
single household
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Self-consumption modelling
power feed-in = power generation – self-consumption
measurements of PV generation and feed-in
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single household
Self-consumption modelling
power feed-in = power generation – self-consumption
measurements of PV generation and feed-in
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single household
Self-consumption modelling
power feed-in = power generation – self-consumption
measurements of PV generation and feed-in
load profiles with diurnal and seasonal patterns for classes of different system sizes
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single household
PV Power feed-in with self-consumption
regional nowcast 13
PV Power feed-in with self-consumption
regional nowcast including plants with and without self-consumption
Jan – Jul 2017
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Summary
Nowcasting of PV power
increased availability by using independent data sources
higher data quality due to combination
Self-consumption
increasing share of self-consumption
correct representation based on non-generic load profiles − diurnal and annual patterns
− different plant sizes
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