ELECTRA IRP ELECTRA/EriGrid Workshop · ELECTRA IRP ELECTRA/EriGrid Workshop 06 September 2016,...

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ELECTRA IRP ELECTRA/EriGrid Workshop 06 September 2016, Kassel Henrik Bindner, Mattia Marinelli and With input from WP8 participants Future decision support systems in view of WoC concept www.ElectraIRP.eu The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement n° 609687

Transcript of ELECTRA IRP ELECTRA/EriGrid Workshop · ELECTRA IRP ELECTRA/EriGrid Workshop 06 September 2016,...

ELECTRA IRP ELECTRA/EriGrid Workshop

06 September 2016, Kassel

Henrik Bindner, Mattia Marinelli

and

With input from WP8 participants

Future decision support systems –

in view of WoC concept

www.ElectraIRP.eu

The research leading to these results has

received funding from the European Union

Seventh Framework Programme (FP7/2007-

2013) under grant agreement n° 609687

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Content

I. Demonstration of visualisation techniques

II. Decision support system

III. Conclusion

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Control rooms and the Web-of-Cells

• Web of cell control room

(supervise system complexity)

• Aggregated and complex

information (system state and

control actions for decision support)

• Use cases defined in

WP3&4 (defined and precise

cases)

Balance

(frequency)

use cases

Voltage

use cases

• Control room Scenarios (providing a

context for defining control room solutions)

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Methodology adopted

• The operator support functions provided in the control room can be divided into three

aspects (situational awareness – SA context):

• SA 1 – System monitoring: operator situational awareness; can you evaluate what is

critical right now?

• SA 2 – Supervisory control and interventions: offer input for operator to adjust

system state

• SA3 – Decision support: help operator identifying the right intervention

• The design of visualization and decision support systems for supervisory control of

increasingly automated systems is a challenge, as increasing automation does not

necessarily reduce the cognitive effort for operators, and in particular in critical

situations, more automated systems have been reported to cause a higher strain on an

operator’s decision-making capacity.

• In order to define detailed requirements for control room solutions, the designer thus has to

understand what constitutes relevant information to be presented to the operator

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Visualization strategy

• This grid visualisation, as developed within this WP, is a dynamically built graph

containing information and elements relevant to the selected perspective on the

system.

• New perspectives can be opened with a click, such as:

• Inter-cell view: This is the top-level view on the network that shows cells and tie-lines

running between them.

• Intra-cell view: Shows buses and lines within a cell, as well as the tie-lines and

corresponding neighbouring cells.

• Local view: Here, the devices and lines connected to one bus along with its associated

cell are presented to the operator.

• Global physical view: The buses and lines of the entire grid are shown as a graph

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Visualization strategy - PNDC

• In the first case, simulated data obtained from a model of the Power Network Demonstration

Centre (PNDC) at University Strathclyde in Glasgow is used to demonstrate the dynamic

topology generation capabilities of the visualisation concept, as well as its ability to show live

data. The considered network features two arbitrarily chosen medium-voltage (MV)

cells, which are connected to a low-voltage (LV) cell via two transformers

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Visualization strategy - PNDC

• Here, the visualisation displays the topological

features and states of the logical entities (i.e., the cells

and tie-lines) currently observed by the MV1 cell agent.

• At the time of the snapshot, the tie-line between MV1

and MV2 is reported to be overloaded due to the

line-to-ground fault, for which reason the line is marked

red.

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Visualization strategy - SYSLAB

• It shows the inter-cell view for the SYSLAB

simulation model using an improved graphical

user interface (GUI) compared to the earlier

visualization.

• The GUI now allows to view in a text box all

data associated with the displayed elements

after selecting them.

• Of more relevance to the test case is the

graphical balance overview in form of a pie

chart, which gives the operator immediate

feedback on the current power (im)balances.

• In this example, we see that two cells have a

generation overhead, whereas the third cell

(CE_71X) predominantly consumes power.

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Decision Support System outline

• The methodology for developing decision support demonstrators was as

follows:

• Develop the requirements and functional specification for decision support.

− Select one of the Task 8.2 scenarios (as above) for close study.

− Identify one or more decision points within the scenario sequence diagrams. For each

decision point, identify:

What decision does the operator have to make?

What are some of the alternative actions that could be taken?

What is the intended/successful outcome?

− For each decision point identified above, determine what metrics are important for

selecting between alternative actions to resolve the decision (i.e. what makes one

plan “better” than another?). Consider how to trade off these metrics against each

other.

• Based on the functional specification, design the decision support system.

− Select an appropriate tool or approach for implementing the DSS (e.g. constraint

satisfaction, optimization methods, case based reasoning).

− Implement and test “off-line”, i.e. with historical, simulated, or synthetic data.

• In partnership with WP 6 (network simulations) or WP 7 (lab-based

implementations), link the DSS demonstrator to the “on-line” data streams.

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• USTRATH_1: Single frequency

event

• The deviation can be mitigated by

the Balance Restoration Control

(BRC) reserves previously procured

during the planning phase of

operation, and therefore the WoC

control systems will automatically

return the frequency within

operational limits.

• This scenario has three key decision

points where the operator can be

involved: − USTRATH_DSS_1: Procurement of new

BRC reserves after a frequency event;

− USTRATH_DSS_4: Balance Steering

Control (BSC) replacement of BRC

deployed reserves;

− (Battery Energy Storage Systems (BESS)

energy restoration after a frequency

deviation event.)

Problem Cell

Decision Support Example

• USTRATH_2: Two frequency

deviation events

• Combined effect of the events

cannot be mitigated by the BRC

reserves. Therefore, further

actions must be taken to procure

emergency support and return the

frequency within the operational

margin.

• This scenario has three key

decision points where the operator

can be involved: − USTRATH_DSS_2: Response to a

frequency event larger than the BRC

reserves can handle;

− USTRATH_DSS_3: Response to an

emergency request from a

neighbouring cell for BRC support;

− (Response to a frequency event due to

the loss of a tie-line.)

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1. Time remaining until next planning

phase

2. Available reserves from own and

neighbouring cells (speed of

response, price and capacity)

3. Tie-line operation limit

Data Request

Decision Support

Example

USTRATH_DSS_1

USTRATH_DSS_4

USTRATH_DSS_2

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Conclusion

• A number of control room scenarios based on WoC use cases he been defined

• The operator support functions provided in the control room have been divided

into three aspects: − System monitoring: operator situational awareness; evaluation of what is critical right now

− Supervisory control and interventions: offer input for operators to adjust system state

− Decision support: help operators identifying the right intervention

• The new functionality and operational needs of the WoC concept leads to new

visualisations and decision support systems

• The new visualisations communicates to the operator the state of the cells as

well as the inter-cell states and highlights deviations from schedules and critical

situations as defined by the balance requirements and control functions

• A number of cases for decision support has been specified from the control

room cases and decision points have been identified

• A decision support system with common base for handling different operational

situations have been developed and it has been illustrated how this system

provides different recommendations depending on the situation

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CONTACT

INFORMATION

Henrik W. Bindner

[email protected]

ELECTRA IRP website link: www.ElectraIRP.eu

ELECTRA/EriGrid workshop 06 September 2017, Kassel