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Cassandra
Theoretical Modelling
Georgios Andreou
Aristotle
University of
Thessaloniki
Power Distribution Network
2Cassandra Project 1st Webinar June 11, 2013
Small Industry
MV/LV Power
Transformer
Commercial
MV/LV Power
Transformer
MV/LV Power
Transformer
Residential
Residential
Commercial
Commercial
Overhead or Underground
Power Lines
HV/MV Power
Substation
Residential
Power Distribution Network
• Consumer Side (Demand Side)
• Demand Side Management
– Consumption optimization
– Energy efficiency
– Profit
• Problems
– Which is the profile of each
consumer?
– How to cluster/categorize
consumers?
– Which DSM program/incentive to offer
to each consumer?
3Cassandra Project 1st Webinar June 11, 2013
Cassandra as a solution
• A helping hand in order to:
– Simulate the consumption of consumer populations,
– Understand behaviors that drive consumption,
– Cluster consumers into groups for more efficient incentivisation,
– Simulate consumer response to specific Demand Response programs
• Two modeling approaches:
– Input based on demographic data → aggregate results for a consumer
population
– Input based on consumer level measurements → bottom-up approach
with results regarding individual consumers and/or consumer
populations
4Cassandra Project 1st Webinar June 11, 2013
Basic modeling concepts
• Reality:
– Installation (Aggregation of all the appliances installed within the
premises of a consumer).
– Person(s) performing activities by the use of appliances according to
their utility.
– Person(s) have habits (recurrent behaviour).
– Person(s) receive incentives to modify consumption, and choose either
to respond or not according to their utility.
5Cassandra Project 1st Webinar June 11, 2013
Basic modeling concepts
• Modeling:
– An Installation consists of its Appliances.
– Measurements of the installation are used in order to determine its
Appliances, as well as the consumer Activities (Disaggregation
procedure).
– Appliances are described by Consumption Models (mathematical
representations of their active and reactive power consumption).
– Consumer utility is modelled through Utility Models.
– Incentives are modelled through Incentive Models.
– Response is modelled through Response Models.
– Auxiliary Models:
• Pricing Schemes Models
• CO2 Emission Calculation
6Cassandra Project 1st Webinar June 11, 2013
Functionality according to quality of input
• Basic simulation rule: The more information you offer as
input, the more accurate results you will obtain.
• Demographic data input: The simulation will be based on
statistics, thus it will not produce accurate individual consumer
results.
• Measurement data input:
– The Cassandra modeling is based on per minute measurements of
active and reactive power for an installation (loss of information)
– Accuracy of results depends on information compensation.
7Cassandra Project 1st Webinar June 11, 2013

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First CASSANDRA Webinar - Concept and theoretical aspects of CASSANDRA by Giorgos Andreou, Lecturer at Power Systems Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki

  • 2. Power Distribution Network 2Cassandra Project 1st Webinar June 11, 2013 Small Industry MV/LV Power Transformer Commercial MV/LV Power Transformer MV/LV Power Transformer Residential Residential Commercial Commercial Overhead or Underground Power Lines HV/MV Power Substation Residential
  • 3. Power Distribution Network • Consumer Side (Demand Side) • Demand Side Management – Consumption optimization – Energy efficiency – Profit • Problems – Which is the profile of each consumer? – How to cluster/categorize consumers? – Which DSM program/incentive to offer to each consumer? 3Cassandra Project 1st Webinar June 11, 2013
  • 4. Cassandra as a solution • A helping hand in order to: – Simulate the consumption of consumer populations, – Understand behaviors that drive consumption, – Cluster consumers into groups for more efficient incentivisation, – Simulate consumer response to specific Demand Response programs • Two modeling approaches: – Input based on demographic data → aggregate results for a consumer population – Input based on consumer level measurements → bottom-up approach with results regarding individual consumers and/or consumer populations 4Cassandra Project 1st Webinar June 11, 2013
  • 5. Basic modeling concepts • Reality: – Installation (Aggregation of all the appliances installed within the premises of a consumer). – Person(s) performing activities by the use of appliances according to their utility. – Person(s) have habits (recurrent behaviour). – Person(s) receive incentives to modify consumption, and choose either to respond or not according to their utility. 5Cassandra Project 1st Webinar June 11, 2013
  • 6. Basic modeling concepts • Modeling: – An Installation consists of its Appliances. – Measurements of the installation are used in order to determine its Appliances, as well as the consumer Activities (Disaggregation procedure). – Appliances are described by Consumption Models (mathematical representations of their active and reactive power consumption). – Consumer utility is modelled through Utility Models. – Incentives are modelled through Incentive Models. – Response is modelled through Response Models. – Auxiliary Models: • Pricing Schemes Models • CO2 Emission Calculation 6Cassandra Project 1st Webinar June 11, 2013
  • 7. Functionality according to quality of input • Basic simulation rule: The more information you offer as input, the more accurate results you will obtain. • Demographic data input: The simulation will be based on statistics, thus it will not produce accurate individual consumer results. • Measurement data input: – The Cassandra modeling is based on per minute measurements of active and reactive power for an installation (loss of information) – Accuracy of results depends on information compensation. 7Cassandra Project 1st Webinar June 11, 2013