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Transcript
Integrating Active, Flexible and
Responsive Tertiary Prosumers
into a Smart Distribution Grid
WP4 - INERTIA Aggregators Monitoring,
Management and Control Hub
T4.1 - DER Flexibility Analysis, Aggregation and
Forecasting Module
Hypertech S.A.
INERTIA 3rd Plenary meeting, Bilbao
Task 4.1 Overview
T4.1- DER Flexibility Analysis, Aggregation and Forecasting Module
Duration: 19 Months (M6-M24)
D4.1 DER Flexibility Analysis, Aggregation and Forecasting Module
Report + Software, Public.
Lead Beneficiary: HYPERTECH (10), Involved Beneficiaries: CERTH-ITI (4), ENG (2),
PPC (2), ENELSI (2)
The work has just started
23/04/2013
INERTIA 3rd Plenary meeting, Bilbao
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T4.1 Objectives
To design and develop visual analytics tools that support:
•
Multi-parameter criteria analysis algorithms and tools of DER flexibility within the
Aggregators prosumer portfolio.
Which attributes aspects do we need to deliver per control action.
How can we aggregate the portfolio based on the characteristics.
How can we manage the reliability issues towards the spatial temporal granularity.
•
Visualization and interaction mechanisms to the Aggregators for multidimensional
analysis
How to provide the optimal visualization – control actions of Local Hub portfolio.
•
Hypothesis based mechanisms for evaluating different Demand Side Management
Strategies and visualize the performance of different alternatives.
How can we take this into account different parameters (e.g. capacity credit ) towards the reliability of the consumer
portfolio study
Overall, the Visual Analytics module will allow the Aggregator to analyze the data, in
order to forecast and validate the effect of alternative DSM strategies.
23/04/2013
INERTIA 3rd Plenary meeting, Bilbao
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T4.1 VA – Generic Overview
•
Combine scientific visualization
with
interactive
information
retrieval and data mining
•
Support the efficient resolution of
highly complex and intractable
problems that necessitate for
closely coupled human and
machine analysis
•
Provide the basis for interactive
analytical
reasoning,
data
transformation,
mining
and
analytics reporting
Brings together the processing power
of computers with the unique human
traits of cognition and insight
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 VA – INERTIA Architecture
Conceptual Architecture of Visual Analytics Component
• VA component as part of the Holistic Framework ( use of a service oriented
approach towards the integration of the different modules - INERTIA DSS)
• VA component in close correlation with the other main components of DSS
tool:
1. Grid Coordination & DR Activation Module: Consumer (Local Hub) clusters to be
activated based on the signals from the extraction of the appropriate DR strategies as
these defined by the Grid Coordination & DR Activation Component.
2. CIM through Multi Agent DER Prosumers Control & Optimization: in order to provide
the historical data needed for the extraction of the optimal portfolio of Local Hubs.
23/04/2013
INERTIA 3rd Plenary meeting, Bilbao
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T4.1 VA – INERTIA Architecture
“INERTIA Visual Analytics Module” High level Architecture
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 VA Forecasting Component
•
•
Forecasting Analysis : Main functionality on VA tool
Feedback for the optimal functionality of the forecasting tool:
1.
2.
3.
4.
Contextual historical data – relevant to DER flexibility (Environmental, Operational, Spatio-temporal
characteristics)  CIM (both for training and simulation purposes)
DER Models in order to define the technical characteristics of DERs  TECNALIA
KPI’s in order to set the rules and the operational parameters of VA tools  ENG
Use cases in order to set the useful INERTIA scenarios for VA tools  ENG
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 VA – Further Functionalities
• Divide the search space to information clusters via appropriate
visualization forms
• Enhance the recognition of patterns, hidden within spatial and
temporal correlation between occupancy, environmental
context , DER operation etc.
• Provide a flexible set of interactive tools, that, unlike static
diagrams, will allow Aggregators to explore the space of
parameter values (e.g. per area, per residential type, per Local
Hub consumption etc.)
To be further extracted from the INERTIA Requirements analysis – Task1.2
23/04/2013
INERTIA 3rd Plenary meeting, Bilbao
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T4.1 Initial Steps (M6)
• State of the Art Analysis of Visual Analytics ( As part of the work in Task 1.2)




Definition and Scope of Visual Analytics
Visual Analytics Taxonomy and Application Areas
Visual Analytics in Smart Grids Operations
Gaps and opportunities of SoTA with INERTIA Framework
• Different techniques on Data Visualization





Multi-Variant Plot Analysis (e.g. 2D analysis of Electricity Load for different single DERs)
Tree Maps (e.g. for space analysis)
Visualization using colored pies and charts
Visualization using box whisker mean plots (BWM) – Monthly & Hourly
Visualization Kiviat diagrams (for design alternatives comparison in respect to specific
variables)
Different techniques. To be further examined taking as parameter the INERTIA Aggregator Use
Cases and literature review
Optimal selection of techniques for data
23/04/2013
INERTIA 3rd Plenary meeting, Bilbao
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T4.1 Next Steps (M6-M9)
• Literature review on the optimal Visualization Techniques most
appropriate for simulation data, performance indicators and
underlying relations
• Identification of appropriate user (Aggregator) and application
specific parametric values and respective degree of system
flexibility
• Investigation of the best fitting data mining techniques for the
optimal integration of multiple Local Hubs in the holistic VA view
• Investigation of potential open source Visualization Platforms to be
used for INERTIA
– Visualization Toolkit (VTK) - Open Source (Creative Commons), C++, 3D computer graphics,
image processing and visualization
– Tulip Framework (LGPL), C++, Information Visualization Framework dedicated to analysis
and visualization of relational data
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 Dependencies – Required
Contributions (M6-M9)
All involved partners will contribute in relation to the following :
1. PPC and ENELSI
 Provide feedback on Task 1.2 (extraction of Business Requirements for Visual Analytics
tool) as the main Aggregators (extraction also from close partners - LL )
 Evaluate the initial selection of Visualization Techniques, defined during the literature
review
2.
ENG


3.
U&B Requirements (Task 1.2) – Final presentation of U&B Requirements related to the
Visual Analytics module
Performance Models (Task 2.4) – Initial review on global performance models to be
further integrated on Visual Analytics tool (!!!!)
CERTH


Examine the interfaces of VA tool within the INERTIA DSS (T1.4- INERTIA Architecture)
Initially examine the functionality of SoTA Tools (PANOPTICON solution, PRWEB solution
as these mentioned in the DoW) towards their role in the INERTIA Framework
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 Dependencies – Required
Contributions (M6-M9)
All involved partners will contribute in relation to the following :
4. HYPERTECH





U&B Requirements (Task 1.2) – In cooperation with ENG for the final extraction of U&B
Requirements related to the Visual Analytics module
Functionalities (Sub components, interfaces, relations) of VA module within the INERTIA
Architecture (Task1.4) (in cooperation with CERTH)
SoTA work on visualization techniques and initial selection of the best fitting based on
their scope in INERTIA Framework (based on the metrics and the identified KPIs)
Initial extraction of the Data models related to the VA tool (in cooperation with TUK)
Definition of the required CIM interfaces (in cooperation with TUK)
A lot of work for the next period
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INERTIA 3rd Plenary meeting, Bilbao
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T4.1 INERTIA Visual Analytics
Questions??
Thank You !!!
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INERTIA 3rd Plenary meeting, Bilbao
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