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Electric Intelligence: Concepts and features Joeffjson Silvrio de - - PowerPoint PPT Presentation

Faculty of Computer Science, Institute of Systems Architecture, T rustworthy and Energy-Effjcient Smart Grids Electric Intelligence: Concepts and features Joeffjson Silvrio de Andrade Dresden, May 15, 2014 Electric-Load Intelligence (E-LI):


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Faculty of Computer Science, Institute of Systems Architecture, T rustworthy and Energy-Effjcient Smart Grids

Joeffjson Silvério de Andrade Dresden, May 15, 2014

Electric Intelligence: Concepts and features

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TU Dresden, May 15, 2014 Revising 2 papers Folie 2 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Electric-Load Intelligence (E-LI)
  • develop new knowledge and apply it

intelligently with technologies to enhance the value of electricity.

  • both intelligence gathering on electricity usages and smart

applications of technologies to enhance the electricity services.

  • monitoring, communication, analysis, interface,

decision making, control and learning capability

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TU Dresden, May 15, 2014 Revising 2 papers Folie 3 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Monitoring
  • Capturing and storing data (information about

loads)

  • The applications may dictate

the kind of data required and decisions to be made.

[which.co.uk]

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TU Dresden, May 15, 2014 Revising 2 papers Folie 4 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Communication
  • transmission of data and/or controls among the

stakeholders (customers, service providers, appliance manufacturers or even regulators) and associated devices.

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TU Dresden, May 15, 2014 Revising 2 papers Folie 5 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Analysis
  • consists on analyzing the data, deriving

knowledge to suggest alternatives to better

  • utcomes.
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TU Dresden, May 15, 2014 Revising 2 papers Folie 6 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Interface
  • The presentation of load data, analysis results,

control alternatives and fjnal decisions to customers and service providers.

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TU Dresden, May 15, 2014 Revising 2 papers Folie 7 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Decision Making:
  • The decision taken after the outcome of

analysis to achieve a prescribed objective

  • safety, effjciency, cost, etc
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TU Dresden, May 15, 2014 Revising 2 papers Folie 8 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Control
  • The instructions sent to devices/systems to

improve performance or achieve desired

  • utcomes.
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TU Dresden, May 15, 2014 Revising 2 papers Folie 9 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Learning
  • The ability of incorporating new knowledge into

future analysis and decision making.

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TU Dresden, May 15, 2014 Revising 2 papers Folie 10 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Load Signatures Disaggregation
  • Disaggregation is to take a composite load and

break it into a set of load signatures of identifjable devices.

  • Ability to track the usage and devise suitable optimization

schemes to improve performance.

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TU Dresden, May 15, 2014 Revising 2 papers Folie 11 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Load Signatures Disaggregation
  • Optimization Problem

Find the best "fjt" to a composite load with a set of given load signatures

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TU Dresden, May 15, 2014 Revising 2 papers Folie 12 von 20

Electric-Load Intelligence (E-LI): Concept and Applications

  • Applications Of Load Signature Studies
  • Information of detailed energy usage to help

customers benefjt from time-of-use tarifg;

  • Health monitoring for mission critical, high value

equipment or systems, e.g. in a data centers;

  • Facility management tools to provide energy savings

in buildings;

  • Monitoring individuals or systems with specifjc needs

based on their electricity usage patterns, e.g. senior living alone or remotely operated equipment;

  • Switching ofg non-essential loads (e.g.

air-conditioners) in emergencies if the power system is in danger of collapse or breaking-up.

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TU Dresden, May 15, 2014 Revising 2 papers Folie 13 von 20

Load Signature Study—Part I: Basic Concept, Structure, and Methodology

  • Load Signature
  • The electrical behavior of an individual

appliance when it is in operation

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TU Dresden, May 15, 2014 Revising 2 papers Folie 14 von 20

Load Signature Study—Part I: Basic Concept, Structure, and Methodology

  • Composite Load
  • CL is more complicated in nature because the

unique features from individual appliances are mixed and sometimes certain features may even be masked or lost

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TU Dresden, May 15, 2014 Revising 2 papers Folie 15 von 20

Load Signature Study—Part I: Basic Concept, Structure, and Methodology

  • Micro Level
  • Any load collected using a sampling interval

that is faster than 1 sample per cycle

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TU Dresden, May 15, 2014 Revising 2 papers Folie 16 von 20

Load Signature Study—Part I: Basic Concept, Structure, and Methodology

  • Macro Level
  • Any load collected by using a sampling interval

that is slower than 1 sample per cycle

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TU Dresden, May 15, 2014 Revising 2 papers Folie 17 von 20

Load Signature Study—Part I: Basic Concept, Structure, and Methodology

  • Current Waveform
  • Provides one of the most complete sets of

information to describe load behavior

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TU Dresden, May 15, 2014 Revising 2 papers Folie 18 von 20

Load Generator

  • Next steps
  • On the next versions of the tool, we want to include

features/measurements useful for existent analysis

Example

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TU Dresden, May 15, 2014 Revising 2 papers Folie 19 von 20

Thank you very much!

Danke schön!

Joeffjson Silvério de Andrade joeffjson@gmail.com

Muito Obrigado!

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TU Dresden, May 15, 2014 Revising 2 papers Folie 20 von 20

References

  • 1. Cheng, J. W. M., Kendall, G., and Leung, J. S. K. Electric-Load

Intelligence (E-LI): Concept and Applications.

  • 2. Jian Liang, Simon K. K. Ng, Member, IEEE, Gail Kendall, and

John W. M. Cheng, Member, IEEE. Load Signature Study—Part I: Basic Concept, Structure, and Methodology.