modern trends in planning for active distribution...
TRANSCRIPT
Modern trends in planning for Active Distribution Systems
Remarks of CIGRE WG C6.19
Prof. Gianni Celli Dept. of Electrical and Electronic Engineering
University of Cagliari (Italy)
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!2Prof.GianniCelli–SymposiumORES2015
ADN – What is that?
“Ac?ve distribu?on networks have systems in place tocontrol a combina?on of distributed energy resources(DERs), defined as generators, loads and storage.Distribu?on system operators have the possibility ofmanaging the electricity flows using a flexible networktopology. DERs take some degree of responsibility forsystem support, which will depend on a suitableregulatoryenvironmentandconnec?onagreement.”
Asharedglobaldefini?onofac?vedistribu?onnetworkswasdevelopedbyCIGREWorkingGroupC6.11:
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environmentalandregulatorypressure
marketliberaliza?onandoverallefficiency
securityofsupply+increasequalityofservice
“copper”investmentspostponement
increasingdispersedrenewablegenera?on(DG)
flexibility(storage,electricvehicle,ac?vedemand)
Active Distribution Networks 2/2
Introduction Objectives�and�method Overview�of�results Conclusions
Why active distribution networks are needed?
Copperplate Smart grid applications
OR
Increase�of�distributed�energy�resources�(DER)�leads�to:
Active�control(MicroͲgrid,�VPP,�DSI,�etc.)
Passive�control
ProsumerHV MV LV
scenario BaU
current reality
~100MW~10MW ~kW
Key Drivers
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Planning is still based on: … but has to: Demand forecast macroeconomic and
historical models forecast for load and DG production(*)
Load data forecast customer usage and territorial planning
incorporate information on DER development
Planning alternatives (scenarios)
compliance with standards based on traditional supply side options
considerate active network solutions and integrate risk variable
Approach deterministic models switch to probabilistic (*) extreme scenarios considered
Decision making under such volatility and uncertainty?
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Operations Planning Trend real-time or near real-time decisions
“long-time” decision shorten planning cycles
alternative scenario (contingency) is always “prepared”
alternative scenario is highly scrutinized
future is “foggy” and it is difficult to realize impacts
operational procedures are fundamental
analyses procedures are also fundamental
new variables to be incorporated
decisions evolve risk risk highly mitigated risk incorporation decisions affect the present
decisions affect mostly the future
systems integration to improve decisions
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Decision making process in operations and planning?
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CIGRE WG C6.19
Changing&of&planning&objec1ves:'mostly'oriented'to'the'maximum&exploita1on&of&exis1ng&assets,'by'working'distribu3on'networks'much'closer'to'their'physical'limits.'
It'is'crucial'that'modern&planning&tools&integrate&ADN&solu1ons&in'the'set'of'feasible'alterna3ves'(CIGRE'WG'C6.11)'in'order'to'iden3fy'the'best'balance'with'tradi3onal'network'expansion.'''
“Today,'while'of'interest'to'many'u3li3es,'ADN'concept'fails'to'be'taken'seriously'by'
u3li3es'as'viable'alterna3ves'in'the'planning'process.”''
CIGRE&WG&C6.19&Survey&on&methods&and&tools&for&planning&of&ADN&
Main'reasons:'1)'lack'of'planning'tools,'
2)'lack'of'ad'hoc'business'cases.'
Introduc3on'
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Typical Planning Process Typical planning process
Acquiring information from markets and customers
Forecasting of demand or distributed generation
Network analysis
Alternatives research
Evaluation and selection of alternatives
Design of selected alternative
Introduction Objectives�and�method Overview�of�results Conclusions
1
2
3
4
5
6
!8Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Alignment with typical planning process
More than 90% of respondents confirmed to perform the steps of the typical planning process
Acquiring information from markets and customers.
Forecasting of demand or distributed generation
Network analysis
Alternatives research
Design of selected alternative
Other activities, with regard to planning of distribution network
Evaluation and selection of alternatives
1
2
3
45
6
Introduction Objectives�and�method Overview�of�results Conclusions
Alignment with typical planning process
!9Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Research for planning alternatives 4. Alternatives research
Regulatory restrictions, codes and (inter)national standards.
Information from markets and environment.
Scenarios and forecasts.
Terms under which the problem in the network may occur.
State of the assets.
Maintenance and refurbishment plans.
Load or congestion management included in the list of alternatives.
Consider other aspects which are not listed.
Utilize internal or national guidelines or standards on the identification of alternatives.
Have adapted new approaches, or plan to do so.
Effect of potential Demand Side Integration activity.
During development of alternatives company policy and
objectives are considered.
Economical and financial implications of the alternative.
Most utilities make little consideration for active network solutions
Introduction Objectives�and�method Overview�of�results Conclusions
!10Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Research for planning alternatives 4. Alternatives research
Regulatory restrictions, codes and (inter)national standards.
Information from markets and environment.
Scenarios and forecasts.
Terms under which the problem in the network may occur.
State of the assets.
Maintenance and refurbishment plans.
Load or congestion management included in the list of alternatives.
Consider other aspects which are not listed.
Utilize internal or national guidelines or standards on the identification of alternatives.
Have adapted new approaches, or plan to do so.
Effect of potential Demand Side Integration activity.
During development of alternatives company policy and
objectives are considered.
Economical and financial implications of the alternative.
Most utilities make little consideration for active network solutions
Introduction Objectives�and�method Overview�of�results Conclusions
4. Alternatives research
Regulatory restrictions, codes and (inter)national standards.
Information from markets and environment.
Scenarios and forecasts.
Terms under which the problem in the network may occur.
State of the assets.
Maintenance and refurbishment plans.
Load or congestion management included in the list of alternatives.
Consider other aspects which are not listed.
Utilize internal or national guidelines or standards on the identification of alternatives.
Have adapted new approaches, or plan to do so.
Effect of potential Demand Side Integration activity.
During development of alternatives company policy and
objectives are considered.
Economical and financial implications of the alternative.
Most utilities make little consideration for active network solutions
Introduction Objectives�and�method Overview�of�results Conclusions
!11Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Evaluation and Selection of alternatives
5. Evaluation and selection of alternatives
Evaluation of a selection of alternatives in compliance with requirements during
'Alternatives research'.
Prioritization matrix is applied for selection of preferred alternative.
Standard tools are developed or purchased
for evaluation of alternatives.
Other considerations.
Have internal or national guidelines or standards on alternative analysis
and selection.
Have adapted new approaches, or plan to
do so.
Introduction Objectives�and�method Overview�of�results Conclusions
Active control is not a selection criteria!
!12Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Evaluation and Selection of alternatives
5. Evaluation and selection of alternatives
Evaluation of a selection of alternatives in compliance with requirements during
'Alternatives research'.
Prioritization matrix is applied for selection of preferred alternative.
Standard tools are developed or purchased
for evaluation of alternatives.
Other considerations.
Have internal or national guidelines or standards on alternative analysis
and selection.
Have adapted new approaches, or plan to
do so.
Introduction Objectives�and�method Overview�of�results Conclusions
Active control is not a selection criteria!
5. Evaluation and selection of alternatives
Evaluation of a selection of alternatives in compliance with requirements during
'Alternatives research'.
Prioritization matrix is applied for selection of preferred alternative.
Standard tools are developed or purchased
for evaluation of alternatives.
Other considerations.
Have internal or national guidelines or standards on alternative analysis
and selection.
Have adapted new approaches, or plan to
do so.
Introduction Objectives�and�method Overview�of�results Conclusions
Active control is not a selection criteria!
!13Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Design of selected alternative 6. Design of selected alternative
Selected alternative is translated into a design for a project or other activities.
During design, policy to implement active control on the distribution network is adapted.
Selecting a group of network components for remote or
automated control is a design precondition.
Automation of voltage control at high voltage level
is a design precondition.
Automation of voltage control at the medium voltage level is
a design precondition.
Remote control at high voltage level is a design
precondition.
Remote control at medium voltage level is a design precondition.
Have adapted new approaches, or plan to do so.
Remote control at low voltage level is a design
precondition.
� Active control especially at HV and MV backbone infrastructure� Most designs are based on predefined conditions
Introduction Objectives�and�method Overview�of�results Conclusions
!14Prof.GianniCelli–SymposiumORES2015
CIGRE WG C6.19 - Survey
Design of selected alternative 6. Design of selected alternative
Selected alternative is translated into a design for a project or other activities.
During design, policy to implement active control on the distribution network is adapted.
Selecting a group of network components for remote or
automated control is a design precondition.
Automation of voltage control at high voltage level
is a design precondition.
Automation of voltage control at the medium voltage level is
a design precondition.
Remote control at high voltage level is a design
precondition.
Remote control at medium voltage level is a design precondition.
Have adapted new approaches, or plan to do so.
Remote control at low voltage level is a design
precondition.
� Active control especially at HV and MV backbone infrastructure� Most designs are based on predefined conditions
Introduction Objectives�and�method Overview�of�results Conclusions
6. Design of selected alternative
Selected alternative is translated into a design for a project or other activities.
During design, policy to implement active control on the distribution network is adapted.
Selecting a group of network components for remote or
automated control is a design precondition.
Automation of voltage control at high voltage level
is a design precondition.
Automation of voltage control at the medium voltage level is
a design precondition.
Remote control at high voltage level is a design
precondition.
Remote control at medium voltage level is a design precondition.
Have adapted new approaches, or plan to do so.
Remote control at low voltage level is a design
precondition.
� Active control especially at HV and MV backbone infrastructure� Most designs are based on predefined conditions
Introduction Objectives�and�method Overview�of�results Conclusions
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² No-network solutions
² Enhanced load and generation representation
² Probabilistic models
² Explicit representation of DSE and Measurement system
² Explicit representation of ICT
² Risk assessment
² Multi-objective programming
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New Distribution Planning
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“Fit and Forget” approach
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ü Onlynetworksolu?onsü Single-Objec?ve(costs)
ü Determinis?cPlanning
alternative(s)
Deterministic network
calculations
Cost evaluation
Any constraint violation?
Network reinforcement
Acceptable planning solution?
STOP
yes
yes
no
no
Definition of planning study
Theoccurrenceofworstscenariosisextremelyrare.
Traditional Planning
!
Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
17Prof.GianniCelli–SymposiumORES2015
Novel Planning
!
Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
18Prof.GianniCelli–SymposiumORES2015
Novel Planning Nomorebasedonasnapshotoftheopera?ngcondi?onsbuton>medependentmodelstocapturetheopera?onalaspectsthatcanaffectplanningstage.
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Novel Planning – Data Modelling
Twopossibledirec?onscanbefollowedtorepresentthehourlyvariabilityofdemandandgenera?on:
Classifica?onofallstatesinayear,groupedintosometypicalcondi?ons
(clusters)
1
!20Prof.GianniCelli–SymposiumORES2015
Novel Planning – Data Modelling
Twopossibledirec?onscanbefollowedtorepresentthehourlyvariabilityofdemandandgenera?on:
Classifica?onofallstatesinayear,groupedintosometypicalcondi?ons
(clusters)
1
2 Iden?fica?onofdis?nc?vedailypaFerns,segmentedinelementaryintervals
0 2412
:uncertaintyband
LoadP
hours
P
µP
costantstandarddeviationσP
hours0 24
WindgenerationP
µP
σP =0
hours0 24
Biomass generationP
hours0 24
variablemeanpoweroutputµP
andstandarddeviationσP
Photovoltaic generation
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Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
21Prof.GianniCelli–SymposiumORES2015
Novel Planning 1. probabilis?cmodelstobeaer
representplanningdata2. theintroduc?onoftherisk
conceptintheselec?onofplanningalterna?ves.
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Novel Planning
Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
Integra?onofADN:ü Ac?onscon?nuouslyappliedin
normalopera?on;ü Ac?onsexecutedoccasionallyto
sa?sfyopera?onalconstraints
!
Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
23Prof.GianniCelli–SymposiumORES2015
Novel Planning ü Needtofindcompromisesolu?onsfortheconflic?nggoalsofsystemstakeholders
ü Differentobjec?vefunc?ons(notonlycosts).
!
Definition of planning study
Customers’ Data Modelling
Generation of planning
alternative(s)
Probabilistic Network
Calculation
[Multi]-Objective alternative evaluation
Unacceptable risk of constraint
violation?
ACTIVE MANAGEMENT (no-network solutions)
Compromise among network and no-network solutions
Acceptable planning solution?
STOP
Active Management examined?
yes
yes
yes
no
no
no
24Prof.GianniCelli–SymposiumORES2015
Novel Planning
Alwayscombinedwiththeapplica?onofDecisionMakingtools
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02004006008001000120014001600
F&F Prob_5% Prob_20% ADN_PQ DESNetworkCA
PEX[k€]
1
4
10
23
24
5
12
22
20
21
2
6
1618
17
19 13
14
15
9
11
7
8
3
WT– 5MW
PV– 3.5MW
PV– 2.5MW
PV– 2.5MW
PV– 0.5MW
Trunk feederrefurbishment
150 mm2
DES
Practical application
Prof.GianniCelli–SymposiumORES2015
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² Inclusion of low voltage systems
² Demand side integration in planning
² Time granularity
² Interface between TSO/DSO
² Reduction of complexity
² Data analytics and clustering
² Integration of multiple services/infrastructures
² Role of distribution systems in new markets
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Challenges
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ICT role for ADN
Benefits
IncreasedComplexity
• Increasedsystemawareness• Automatedcontrolresponse• Resourcesintegra?on• Customerpar?cipa?on• Systemadapta?on
• Mul?pleopera?ngdomains• Controllayercoordina?on• Spa?alandtemporalvaria?ons
!28Prof.GianniCelli–SymposiumORES2015
ICT role for ADN
PrimarySubstation
SecondarySubstation
TieBreaker
CB
SSSS CB CB SS SS
CB:CircuitBreakerSS:SectionalizingSwitch
CB
Normallyclosed
Normallyopen
IED
IED
IED
IED
IED
IED
IED
SCADA
DMS
IED:IntelligentElectronicDeviceDMS:DistributionManagementSystemEMS:microgrid EnergyManagementSystemSCADA:SupervisoryControlAndDataAcquisition
MVIntentionalIsland
DG
DG
DG
DESDES
DES
Communicationlink
EMS
LVMicrogrid MicrogridCommunicationlink
The ICT infrastructure is not an add-on of the power systems, is an essential part.
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ICT role for ADN – Reliability
Enhanced Reliability Functions of ADN
Concerns
² Intentional Islanding ² Fault Identification ² Auto-Reconfiguring Networks ² Volt/var Control
² Reliability improvement quantification? ² Reliability of the active management and ICT? ² Degree of reliance? ² Security Issues?
!30Prof.GianniCelli–SymposiumORES2015
ICT role for ADN – Reliability
TwokindsofreliabilityanalysisarerequiredforADN
Quan>fica>onofthebenefitsintroducedbynewsolu?ons(e.g.inten?onalislanding)
1stcategory
Considerexplicitlythereliabilityoftheenablingtechnologies(par$cularlythatofICT)neededtoimplementspecificANDapplica?onsinordertoevaluatetheireffectonthereliabilityofthewholesystem.
2ndcategory
!31Prof.GianniCelli–SymposiumORES2015
ICT role for ADN – Reliability Calculation Historically, … ☛ Passive network operation ☛ Simple network topology
“contingency analysis” deterministic approach (N-1)
ADNOpe
ra>o
ns
Bi-direc?onalpowerAdv.controlsDERvaria?onsSelfHealingCustomerpar?cipa?onIslandingEnergystorage
Characteris>cs ▲Systemstates▲VariabilityPeak≠worst-case
Assessmen
t Stochas?cSimula?on
But, …
• State-Enumeration (small and simple systems) • Monte Carlo Simulation (no chronological aspect) • Sequential MCS (highest computational burden) • Pseudo-Sequential MCS (good compromise)
!32Prof.GianniCelli–SymposiumORES2015
ICT role for AND - Implementation Challenges
Monitoring,Sensors,andData
DistributedControlsIntegra?on
Distribu>onManagementSystemmustconsiderreliabilityrequirements
ModelBasedManagement
ArchitectureandInteroperability
!33Prof.GianniCelli–SymposiumORES2015
ICT role for AND – Communications Requirements
² Network latency ² Data criticality ² Time synchronization ² Security ² Reliability
Requirementsmustbeassessedduringthedesignstageandcon?nuouslythereaier
!34Prof.GianniCelli–SymposiumORES2015
ICT role for AND – ICT reliability
² System Failures Time-out failures Network failures Resource failures
² Control System Resiliency
² System Restoration
² Cross-Technology Interaction
² Security
!35Prof.GianniCelli–SymposiumORES2015
ICT role for AND – Co-simulation ² It refers to the simultaneous simulation of power delivery and
communications networks.
² Nowadays each function is simulated separately with each study discipline assuming the other works perfectly.
² This is one of the larger gaps in tools for planning ADNs that are heavily reliant on communications and control working as intended.
² Interactive simulation utilizing existing distribution and cyber simulation platforms is a potential avenue for performing reliability assessments.
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!36Prof.GianniCelli–SymposiumORES2015
Conclusions
² Companies still adopt traditional planning tools
² Traditional planning are not suited for the incoming future
² New planning methodologies are required
² Operation in planning
² Data Modelling
² Risk and reliability analysis
² Co-simulation of ICT and Power Systems
² The CIGRE WG C6.19 final report has been published in August 2014
!37Prof.GianniCelli–SymposiumORES2015
Credits
ü Fabrizio Pilo (convener)
ü Samuel Jupe ü Federico Silvestro ü Khalil el Bakari ü Tony Hearne ü Luis (Nando) Ochoa ü Jason Taylor ü …. and all the WG members