TBLM - PointView

Report
T&D DEWG Webconference
December 3, 2012
W I N T E R 2 0 1 2 FAC E - TO - FAC E
IRVING, TEXASDEC. 3-6, 2012
SMART GRID
I N T E R O P E R A B I L I T Y PA N E L
T&D DEWG Meeting Agenda – 12.03.2012
• NIST/SGIP Update – Jerry
 SG International Cooperation Workshop: Korea & U.S. – December 7,
Irving TX
 SGIP 2.0
 PAP12, PAP8/14 Update
 DRGS Update
• TnD DEWG Activities
 MultiSpeak Catalog of Standards Artifacts – Gary McNaughton
• Transmission Bus Load Model (TBLM) (Nokhum Markushevich)
• Emerging Topics - Alarms and Event Management over the Smart Grid
• Next Meeting – Wednesday, December 17, 4:00 PM Eastern
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
PAP Updates
•
PAP12 Update
 IEEE 1815-2010, IEEE 1815-2012 “Standard for Electric Power Systems
Communications - Distributed Network Protocol (DNP3)”
 IEEE 1815.1 “IEEE Draft Standard for Exchanging Information Between
Networks Implementing IEC 61850 and IEEE Std 1815 (Distributed Network
Protocol - DNP3)”
•
PAP8
 IEEE 61968-3 “Application integration at electric utilities - System interfaces for
distribution management - Part 3: Interface for network operations”
 UML Model of MultiSpeak
•
PAP14
 IEEE C37.239-2010 “Standard for Common Format for Event Data Exchange
(COMFEDE) for Power Systems”
 IEEE PSRC H5 Committee working on guidelines titled; “A common format for
configuration of Intelligent Electronic Devices (IED’s)”
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
MultiSpeak Catalog of Standards Artifacts – Gary
McNaughton




SGIP CoS – Standards Information Form
Criteria and Analysis Report: MultiSpeak Specification
SGIP CoS - Development Process Statement: MultiSpeak
Specification
Next Steps
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
UPDATE ON THE USE CASE FOR THE
TRANSMISSION BUS LOAD MODEL
(TBLM)
Nokhum Markushevich
Smart Grid Operations Consulting
[email protected]
W I N T E R 2 0 1 2 FAC E - TO - FAC E
IRVING, TEXASDEC. 3-6, 2012
SMART GRID
I N T E R O P E R A B I L I T Y PA N E L
Information Exchange between T&D Domains
6
Distribution
domain
PMU
EMS
SE
TBLM
CA
OPF/SCD
ED
Pre-arm
Islanding
Restoration
………
RAS
SCADA
Data
Control
DSCADA
W I N T E R
2 0 1 2
T&G devices
FA C E - T O - FA C E
I R V I N G , T E X A S
Topology model
DMS
DOMA
VVWO
FLIR
Emerg.
apps
T&G
domains
Subst. LTC,
Shunts, SVC
TBLM Processor
AMI
processor
DER/ES
processor
DR
processor
PEV
processor
Load model
Processor
Secondary
Processor
Scenarios for TBLM Use Cases
7
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
Develop aggregated DER capability curves for TBLM
Develop aggregated model of dispatchable load for TBLM
Develop aggregated real and reactive load-to-voltage dependencies
Develop aggregated real and reactive load-to-frequency dependencies
Develop aggregated real and reactive load dependencies on Demand response control signals
Develop aggregated real and reactive load dependencies on dynamic prices
Adapt aggregated real and reactive load models to current weather conditions
Develop aggregated real and reactive load dependencies on ambient conditions and time for the
short-term forecast of the aggregated load
Develop models of overlaps of different load management functions, which use the same load
under different conditions.
Assess the degree of uncertainty of TBLM component models.
Develop Virtual Power Plant (VPP) Model
Determine the possible shifting of load from/to the transmission bus
Determine the abnormal states of the TBLM after major power system emergencies
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Develop Virtual Power Plant (VPP)
Model
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Definition of VPP*
9



A virtual power plant (VPP) aggregates the capacity of
many DGs, Demand Response, and Energy Storage
(Megawatts and Negawatts).
VPP creates a single operating profile from a composite of
the parameters of each DER that should incorporate the
impact of the network on their aggregate output.
As any large-scale generator, the VPP can be used to
facilitate DER trading in various energy markets and can
provide services to support transmission and distribution
system management.
* Based on “Flexible Electricity Networks to Integrate the Expected Energy Evolution, by J. Corera Iberdrola and
J. Maire.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
VPP model as a component of TBLM
10

Consists of distributed resources from the same transmission bus

It is represented, at the distribution-transmission interfaces, as an
aggregated profile which includes the influence of the local
network on the VPP output.
It also represents the composite DER cost and operating
characteristics.
The model of VPP provides the system operator with visibility of
energy resources connected to the distribution network,
allowing distributed generation and demand to contribute to
transmission system management.



VPP can also facilitate the use of distributed resource capacity in
the distribution networks , e.g., for FLISR and/or IVVWO.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Basic inputs for the VPP
11

DER inputs for the localized (technical) VPP




Operating schedule
Bids & Offers / marginal cost to adjust position
Operating parameters
Other inputs:



Real-time local network status
Loading conditions
Network constraints
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
VPP actions based on the input data
12
Commercial
VPP
2. Initial model
1. Initial Input
Technical VPP
5. Corrections
DMS
6. Final model
4. Adjustments to
constraints, requests
3. Constraints, requests
TBLM
7. Final VPP
model &
adjusted
other
components
of TBLM .
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
DMS actors involved in VPP modeling for the
TBLM
13

DER Data Management System

DER model processor
Load Model Processor
Load Management System






Distribution Operation Modeling and Analysis to determine the
impact of VPP on distribution operations: adequacy, power
quality, efficiency, and operational constraints
Integrated Volt/var/Watt control application to determine the
impact and availability on Volt/var/Watt optimization
Distribution Contingency Analysis to determine the impact on
reliability
TBLM developer application to adjust other TBLM components.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Determine the possible shifting of load
from/to transmission bus
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Narrative
15



For the most of the transmission buses, a portion of the
load fed from the bus can be transferred to other busses
without violations of the operational limits.
Such transfer may change the economics of both
transmission and distribution operations (changes of
LMPs, losses, of volt/var control benefits, etc.).
The efficiencies of these changes may be in conflicts with
each other, e.g., the LMPs may reduce, while the losses in
distribution can increase.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Narrative (cont.)
16



In some cases a reallocation of loads among transmission buses
is needed as preventive and even corrective measures in case
of a contingency.
There may be several alternatives for the shifts of load from
one bus to other buses. The alternatives may differ by the
amount of load that can be shifted and by the economic and
reliability results.
The alternatives of load shifting change with the change of the
customer loads, DER operations, and current DR statuses.
Hence, the available load shifts should be updated in the nearreal time fashion.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Objective of the scenario
17



Determine all plausible alternatives of load that can be
shifted from/to the transmission bus
Provide the EMS with the distribution-side economic and
reliability results of the shifts of load
To be used by EMS to improve overall efficiency and
reliability.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
DMS actors involved
18






DMS Data Management Systems
DMS Topology Model processor
DMS multi-level feeder reconfiguration application in shortterm look-ahead study mode to determine all technically
feasible alternatives
DMS IVVO application to determine the changes in the
efficiency of distribution operations under the new
configurations
DMS contingency analysis for the reconfigured circuits (to
assess the change in the reliability)
TBLM developer application.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Determine the abnormal states of the TBLM
after major power system emergencies
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Narrative
20

After the development of the emergency situation is
stopped, and the system is in a quasi-steady-state
condition, there are








disconnected customers (life-support systems),
disconnected DER, and microgrids,
activated demand response,
disabled demand response means
discharged energy storage devices,
abnormal volt/var parameters due to IVVWO in emergency mode,
abnormal circuit connectivity, etc.
All these abnormalities have their prices, constraints, and
restoration priorities.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Narrative (cont.)
21

Different orders of restoration to the normal states of different
components have different impacts on the restoration process.

Restoration of some components may impact the states of other
components.



For instance, restoration of some disconnected loads may reduce
the voltage below the limits, which will force the IVVWO to increase
the overall voltage and by this to increase the load even more.
The cold load pickup should also be determined.
Transmission operations in the after-emergency state may also
impose constraints on the restoration in distribution, e.g.,


Reduced loading limits of a transmission interface
Limited generation reserve, etc.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Objective of the scenario
22


To inform the transmission and distribution control
systems about the post-emergency states of the
different component in the distribution system to
define the appropriate priorities of restoration
To take into account the transmission-side constraints
for prioritization of distribution restoration.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
DMS actors involved
23

DMS Data Management Systems

DMS Topology Model processor to determine and analyze the after-emergency
topology (disconnected elements, abnormal states)

Load Model processor (different net load patterns due to backup generators, cold
load pickup, etc.)

DER Model processor (abnormal states and modes of operations)

Load Management System (states of DR)

Distribution Operation Modeling and Analysis for after-emergency situational
awareness

DMS multi-level feeder reconfiguration application in short-term look-ahead study
mode to determine the topology restoration alternatives

DMS IVVO application to adjust Volt/var/Watt parameters to the restoration
alternatives

TBLM developer application
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Conclusions.
24

New object models, attributes, and information exchanges
should be developed to accommodate the following
transmission and distributing operational needs:



Integrating Virtual Power Plants into distribution systems
and serving higher-level control areas
Shifting of load from one transmission bus to others for
transmission operation purposes
Restoration of normal operations after major power system
emergencies.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Future work on TBLM
25





Completion of the development of the TBLM use case
Development of a list of possible new object models
Development of a list of possible new information
exchanges
Update of the Distribution Grid Management use cases to
accommodate the development and utilization of the
TBLM
Development of use cases for EMS applications with
integration of the TBLM.
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Thank you!
Questions?
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Emerging Topics - Alarms and Event Management over
the Smart Grid

IEEE C37.239-2010 “Standard for Common Format for
Event Data Exchange (COMFEDE) for Power Systems”
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S
Next TnD Webmeeting
• Next Meeting – Wednesday, December 17,
4:00 PM Eastern
W I N T E R
2 0 1 2
FA C E - T O - FA C E
I R V I N G , T E X A S

similar documents