Forecasting Forecast Error Andy Moore & Kevin Smith UC Santa Cruz Hernan Arango Rutgers University.
Applicability of Error Limit in Forecasting & Scheduling of Wind & Solar Power in India
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Transcript of Applicability of Error Limit in Forecasting & Scheduling of Wind & Solar Power in India
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Abhik Kumar Das
TECHNICAL PAPER PRESENTATION – 9TH MARCH 2017
Director
Del2infinity Energy Consulting
Applicability of Error Limit in Forecasting & Scheduling of Windand Solar Power in India
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• Wind and Solar - Clean but Variable• Variability & intermittency breaks network stability• Scheduling in Solar & Wind power generation is a
requirement for grid stability• Regulations regarding Forecasting & Scheduling of Wind
and solar are already proposed by CERC, FOR and StateRegulators
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Error in Forecast
Where AvC is the available capacity;and are actual generation and scheduled
generation respectively.
Value ofm FOR Gujarat Jharkhand Karnataka MP Odisha Rajasthan TNWind (Old) 0.15 0.12 0.15 0.15 0.15 0.15 0.15 0.10Wind (New) 0.10 0.08 0.10 0.15 0.15 0.15 0.15 0.10
Solar (Old) 0.15 0.07 0.15 0.15 0.15 0.15 0.15 0.05Solar (New) 0.10 0.07 0.10 0.15 0.15 0.15 0.15 0.05
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Variability in Actual Powergeneration
Regulation, m
Measure of Forecast
r = correlation coefficientof actual and schedulepower generation
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Forecast Error Distribution
Normalized frequency distribution of forecast error for different days of (A) solarforecasting and (B) wind forecasting with ‘Single Revision’
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Penalty due to deviation
Where c(e) is the penalty due to the error and h(e) can be represented as probability of error inthe forecast models.
And is defined as the standard deviation of the error distribution. P(m) is theprobability the error is under no penalty error band
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Variability in Actual Powergeneration
Regulation, m
Measure 1 of Forecast
r = correlation coefficientof actual and schedulepower generation
Measure 2 of Forecast
: the standarddeviation of the errordistribution
Penalty due to deviation
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Analysis of
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Need of revision and Phase in
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• A good forecasting methodology is not only a solution having thehigh forecast accuracy and low penalty due to the deviation, but asolution to maintain the similar or better accuracy in the minimumnumber of intra-day revisions.
• Variability analysis required to minimize the number of revision
• In some cases revision is allowable but chargeable similar to thescheduling of other energy sources
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Wind Forecast : 16 Revision
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Solar Forecast : Single Revision
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“THANK YOU”