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CLNR learning objectives and project technology overview
CLNR Network Trials Knowledge Sharing Event
Preston Foster
2nd December 2013
3
An industry-wide collaboration and strong consortium
• UK’s largest energy supplier and leader in smart meter deployment
• Leads on the customer-facing activities
• Researches customers’ attitudes and energy-related behaviour
• Engineering consultancy with extensive experience of the electricity industry, including smart grids
• Creates practical outputs to implement new solutions
• The distribution network operator for Yorkshire and Northeast, with 3.9 million domestic and business customers
• Operates the electricity network on which trials are taking place
• Delivers end-to-end monitoring and analysis
• Internationally recognised academic institutions
4
What are the most effective means to deliver optimal solutions between customer, supplier and distributor?
What are the optimum solutions to resolve network
constraints driven by the transition to a low-carbon economy?
To what extent is the network flexible and what is the cost of this flexibility?
To what extent are customers flexible in their load and generation, and what is the cost of this flexibility?
What are the current, emerging and possible future customer load & generation characteristics? Monitoring
Customer Flexibility
Network Flexibility
Optimum Solutions
Effective Delivery
The CLNR project has five main learning outcomes
5
Customer & Network Technology Solutions
Focussed, integrated network technology solutions installed
on four trial networks:
• Real-time Thermal Rating (RTTR)
• Enhanced Automatic Voltage Control (EAVC)
• Electrical Energy Storage (EES)
• Network Monitoring
Active customer participation to minimise electricity costs through flexibility
National smart meter data
6
CLNR: Smart grid in a box
Advanced tariffs for engrained
behaviour change
GSR by direct
contract
Novel contracts to call specific responses
Advanced tariffs for engrained behaviour
change
Domestic DSR
Monitoring
I&C DSR
Smart line drop
compensation
Constrained generation
connections
Voltage in-line
regulators at HV & LV
Voltage OLTC RTTR
EES 50kVa -
2500kVa Emerging & future
consumption trends
7
However its not about the individual elements; it’s about how we’re bringing them all together …
• New design tool (NPADDs) reflecting changes to planning standards from profiles, tariffs, DSR etc.
• Ambitious, complex and comprehensive real-time control system (GUS)
• Its taken a little longer than expected, but the project remains on track to deliver valuable and timely learning
CLNR: Smart grid in a box
8
Project Outputs
Customer and Network Trials New planning data for demand
Better understanding of how customers engage with the electricity network
The influences from low-carbon technologies on customer’s energy practices
Academic insight from customers to feed outputs: if we understand how they engage, we can influence that
Understanding on the combination of trial network technologies from smart grid controller
Learning on how we link multiple solutions to multiple constraints
Optimal Solutions and Effective Delivery Academic insight to understand combined customers and technology (including control)
‘How to’ guides for everything (control, EES, DSR etc.)
Recommendations for:
Planning Tools
Guidance Documents
Policies
National Standard
Commercial Frameworks
The Customer-Led Network Revolution
Network Trials and Simulation
Phil Taylor
Professor of Electrical Power Systems Director of Newcastle Institute for Research on Sustainability
Socio-Technical approach to Smart Grids
Network and Customer Aspects • Real Time Thermal Ratings
• Energy Storage Systems
• Enhanced Voltage Control
• Demand Side Response
What is the optimum mix of solutions to ensure electrical networks can enable the low carbon transition?
Learning Outcomes
• Learning Outcome 1 (LO1)
- Current, emerging and future customer characteristics
• Learning Outcome 2 (LO2)
- Customer flexibility cost and value
• Learning Outcome 3 (LO3)
- Network flexibility cost and value
• Learning Outcome 4 (LO4)
- Optimum solutions – socio, techno, economic
• Learning Outcome 5 (LO5)
- Embedding learning into Business as Usual for DNOs
LO3: Network flexibility trial equipment
• Four test cells
• Rural Network (Denwick)
• Urban Network (Rise Carr)
• PV Test Network (Maltby)
• Heat pump (Hexham)
• Network equipment
• Energy Storage Systems (2.5MVA, 5MWh to 50kVA, 100kWh)
• Demand Side Response (Residential, SME and I&C)
• Integrated control of transformer and regulator tapchangers across the voltage levels (66kV down to 400V)
• Real Time Thermal Ratings (Cables, Transformers and Overhead Lines)
• Integration is key, multiple active systems in collaboration
LO3: Network trial requirements
• Ensure customers are not adversely affected
• Enable model validation
• Baseline required to evaluate existing performance of the system
• Independently and in a control system
• Network interventions with multiple functions (energy storage P/Q powerflow/voltage control)
• Local measurements/Global measurements
• Interaction with other network interventions
• Distributed/hierarchical control systems evaluation
• Determine how to maximise headroom and legroom
• Millions of possible combinations
LO3: CLNR field trial design
Powerflow ManagementField Trials
Voltage ControlField Trials
Baseline Existing System Operation
Autonomous Voltage
Control Trials
GUS Individual Voltage
Control Trials
GUS Collaborative
Voltage Control Trials
Autonomous PFM Trials
GUS Individual PFM Trials
GUS Collaborative
PFM Trials
Integrated SystemTrials
LO3: Final design
• 230 trials designed
• Voltage limits tightened to instigate controller operation in voltage control trials
• Thermal/MVA limits tightened to instigate controller operation in powerflow control trials
• Baseline trials are underway
• Initial trials at LV level to minimise possible customer disruption
• Collaborative trials give network interventions electrically close precedence
17
LO3: HV/LV transformer with on-load tapchanger (±8% in 2% steps)
LO3: HV/LV transformer with on-load tapchanger (±8% in 2% steps)
0.230
0.235
0.240
0.245
0.250
0.255
00:00 06:00 12:00 18:00 00:00
V (
kV)
Time (hh:mm)
Saturday 23/11/2013 - Target Voltage 1.06
Phase 1
Phase 2
Phase 3
LO4: VEEEG Methodology
Electric Vehicles: Urban and rural domestic load synthesis
Electric Vehicles, Urban and rural EV charging
Fusion of Smart Meter Data and Switch EV Data
23
LO3: 2.5MW – 5MWh Electrical Energy Storage at Rise Carr 33/6kV
A real, smart grid enabled distribution network is adopted as the case study network, to investigate the voltage problems and to evaluate the proposed coordinated voltage control scheme. This network, operated by Northern Powergrid, is a rural network located in the Northeast of England.
LO4: Case Study: (IEEE Trans SG) An example of how we use the data?
• Typical daily demand profiles from case study network SCADA data for MV feeders;
• Typical wind farm generation profile derived from 30 wind farm sites owned by Northern Powergrid;
• Domestic customer demand profile and power profiles of multiple LCTs derived from historical data from over 5000 domestic customers covering the period May 2011 to May 2012
LO4: Data from the CLNR project are used to create the future scenario
• Voltage profiles at MV feeder ends;
• Voltage profiles at LV Feeder 1 end;
• %VUF at LV Feeder 1 end.
LO4: Voltage problems in the case study network without control
• Voltage profiles at MV feeder ends;
• Tap position of the OLTC at primary substation;
• Power output of the EES at MV Feeder 1 end
LO4: IPSA2 results with Proposed Control Scheme
Network in the loop emulation results with proposed control scheme
Voltage profiles at LV Feeder 1 end Tap position of the OLTC at secondary substation
%VUF at LV Feeder 1 end Power output of the EES at LV Feeder 1 end
Summary and future developments
• Final trial rollout program near completion
• Customer Trials to be completed early 2014
• Network Trials to be completed for August 2014 (duration approximately 17 months)
• Initial trials underway
• Newcastle University/Durham University post-trial analysis already underway and brings smart meter, customer flexibility and network trials together
• Longer term view …
Very short-term RTTR forecasting
• A combined Wavelet-Transform Neural-Network approach to forecasting
• Interested in predicting the value at T+1 when we know T.....T-X
• Wavelet transform of the data decomposes the measured meteorological values into significant components which are then used to train the Neural Network
• Neural Network learns the relationship between the input values (T, T-1....T-X) and the output value T+1
• When presented with new, unseen input series, will predict the next value which can be used recursively to give a multi step forecast
Very short-term RTTR forecast
VVC in distribution networks
Voltage Var Control (VVC) is a classic control problem in distribution networks.
By controlling the voltage control devices co-ordinately, various control objectives can be achieved, such as:
- Maintaining the distribution networks operated within voltage and thermal limits;
- Minimizing network losses;
- Minimizing voltage variations;
- Maximizing DG output;
- Minimize the voltage control devices switching numbers
VVC algorithms
The following algorithms are evaluated, compared and contrasted for the VVC problem: Oriented Discrete Coordinate Descent Method (ODCDM) ODCDM is a deterministic optimization algorithm, used in the GUS control system in CLNR. Cuckoo Search Algorithm (CS) CS is a novel optimization algorithm, inspired by the brood parasitism of some cuckoo species. Genetic Algorithm (GA) GA is an optimization algorithm, mimicking the process of natural evolution. Particle Swarm Optimization Algorithm (PSO) PSO is a optimization algorithm, based on the swarm behaviour such as fish and bird schooling in nature.
Test results – Network losses minimization
The network losses at each time step and the cumulative network losses for 24 hours are shown above. The control objective is set as network losses minimization for the VVC algorithms. In baseline study, the voltage control devices are controlled locally, with predefined target voltage and bandwidth.
Sharing the lessons learned during specification,
procurement and installation
CLNR Network Trials Knowledge Sharing Event
Ian Lloyd
2nd December 2013
36
• EES1 Electrical Energy Storage System (nominal 2.5MVA/5MWh)
• Enhanced Automatic Voltage Control (EAVC 3) using HV in-line regulators
• EES2 Electrical Energy Storage System (nominal 100kVA/200kWh)
• Enhanced Automatic Voltage Control (EAVC 4) of a ground mounted HV switched capacitor bank
• EES3 Electrical Energy Storage System (nominal 50kVA/100kWh)
• Enhanced Automatic Voltage Control (EAVC 5) of LV feeders
• Overhead Line Real-time Thermal Rating System • Network monitoring of Primary substations (M1)
• Primary Transformer Real-Time Thermal Rating system
• Monitoring of HV feeders (M2)
• Secondary Transformer Real-time Thermal Rating system
• HV Industrial & commercial customer monitoring equipment (M3)
• RTTR (Real Time Thermal Rating) of underground cables
• Network monitoring of secondary substations (M4)
• Enhanced Automatic Voltage Control (EAVC 1) of a primary transformer and an On-Load Tap Changer
• LV Feeder monitoring equipment
• LV In-line regulator Enhanced Automatic Voltage Control (EAVC 2) scheme
• Grand Unified Scheme (GUS)
• CLNR Data Warehouse
• Demand Response
Specifications developed during CLNR
37
Insights for DNOs • Significant project planning is required
• Novel technology brings new challenges; have a clear definition of the brief for smart equipment
• Product descriptions are vital in defining the entire range of equipment required to enable the project objectives
• R&D team interaction with business standards is key
• Engage with industry and technical experts to support system / component specification
• Involve business safety in the early stages of your product specification
Insights for Vendors • Achilles utility vendor database is a necessity
• Be aware of the awarded funded contracts and tailor your marketing and product awareness
• Prepare as much as possible to assess the market need to provide a clear response
• Deal with DNOs / consultant request for interest and respond accordingly
Insights from the specification phase Early insights
38
Supply of the solutions need to be market tested
Northern Powergrid carried out a competitive tenders in line with the EU Utilities Directive 2004/17/EC
• E-Qualification
• Qualification evaluation
• Specification issue / terms and conditions created
• Review of specification returns
• Contract negotiation
• Supplier reference checks
• Contract award
Tender and procurement process
Tender Process
39
Initial Search
Pre-Qualification Accepted for Tender
Received / Shortlisted
Limited ‘real’ supplier choice with advanced TRL & experience
40
Insights from the procurement phase
Insights for DNOs • Significant project planning is required
• Obtain strong buy in to the project from the procurement and standards sections
• Clearly define all the goods and services required during the project
• Have resource in place for new contract development and creation
• Involve business stakeholders in post tender negotiations / equipment approval
• Involve safety in the equipment approval stages of your procurement
• Plan to deal with one product requirement at a time
• Prepare for some late nights from now on…
Insights for Vendors • Be clear, open and honest in your tender returns
• Do not exaggerate the abilities or TRL level of your product
• Deal with DNOs excitement / concerns around novel technology
• Be prepared to respond quickly to questioning and evaluation queries
Early insights
41
• Safety
• TRL
• Cost effectiveness
• Deployment track record
• Efficiency/Lifetime
• Flexible approach to design and delivery
• Technical product quality
• Strong financials
Procurement evaluation criteria reflecting typical priorities for products and suppliers
42
• The process has proved to be worth the effort
• We have achieved:
• An identified range of technical and commercial options
• A well researched solutions of the technology for our trials
• An accurate market-costed set of products
• Confidence in the technical solution that we chose
• Buy-in of internal project stakeholders was key during the specification and procurement process
Full market tender: conclusions
43
Early insights from the installation phase Insights for DNOs • Novel technology brings new challenges in every conceivable aspect
• Significant project planning and enabling site works are required
• Equipment integration is extremely difficult to define and bug out
• Early engagement with internal stakeholders is key
• Up front community and local authority engagement is beneficial
• Logistics and site lifting can be complex
• Safety and training: blending new technology with existing rules is key
• Network alarms and control protocols: integrating new technology to existing processes
• Communications platforms are a greater concern than anticipated
Insights for Vendors • Safety considerations for: installation, commissioning and operation are paramount
• Existing safety rules and operational procedures are hard to change or comprehend
• Deal with DNOs excitement / concerns around novel technology
• Plan for some late nights
Early insights
44
Network trials portfolio
Equipment Urban Network
Rise Carr Rural Network
Denwick
Heat Pump Cluster
Hexham
PV Cluster Maltby
Electrical Energy Storage (EES)
2.5MVA battery at primary substation (EES1)
Rise Carr
100kVA battery at distribution substation (EES2)
High Northgate Wooler Ramsey
50kVA battery at distribution substation (EES3)
Harrowgate Hill Wooler St. Mary Mortimer Road
Enhanced Automatic Voltage Control (EAVC)
Primary substation transformer with on-load tap changer (EAVC1)
Rise Carr Denwick
Secondary substation transformer with on-load tap changer (EAVC2)
Darlington Melrose Wooler Bridge Mortimer Road
Regulator (EAVC3) Hepburn Bell AND Glanton
Switched capacitor bank (EAVC4) Hedgeley Moor
LV main distributor regulator (EAVC5) Sidgate Lane
Real-Time Thermal Rating (RTTR)
Primary substation transformer Rise Carr Denwick
Secondary substation ground mounted transformer
Darlington Melrose High Northgate
Wooler Bridge Wooler Ramsey
Sidgate Lane
Overhead lines 2 locations at 66Kv 4 locations at 20kV
Underground cables EHV Rise Carr
Underground cables HV Rise Carr
Underground cables LV Darlington Melrose
Grand Unified Scheme (GUS)
GUS central controller 14 GUS remote distribution controllers (RDC) GUS Data Warehouse
Demand response system integrated into GUS control
Monitoring
70 instances of monitoring equipment (of 3 different types) at a range of different network locations
iHost data warehouse
45
Selection of network locations
Maltby, South Yorkshire Photovoltaic test cell, PV test cell,
customer engagement, site security, communication issues
Rise Carr, Darlington Primary test cell urban network dense construction, busy streets
tight locations
Denwick, Northumberland Primary test cell rural network exposed
to the elements key for locating thermal rating equipment
Hexham, Northumberland Heat pump test cell, rural test cell small community, communication
problems
46
• 5 AVR Relay Locations
– Rise Carr Primary
– Denwick Primary
– Glanton Regulator
– Hepburn Bell Regulator
– Hedgeley Moor Switched Capacitor Bank
• Three Transformer Locations
– Darlington Melrose
– Wooler Bridge
– Mortimer Road 45548
• Regulator fitted on the network at the heat pump cluster
Fundamentals Super Tapp N+ AVR scheme fitted at Rise Carr and Denwick primary substations
Machinen Fabrik Rheinhausen and Efacec Transformer with on load tap changer
Enhanced Automatic Voltage Control (EAVC)
47
Enhanced Automatic Voltage Control (EAVC)
48
Real-Time Thermal Ratings (RTTR)
Wind cooling
Denwick overhead line - 12 months RTTR data
49
2.5MVA unit installed at Rise Carr primary substation
Installing and commissioning six EES devices in 2013
• One 2.5MVA / 5MWh unit connected at HV to demonstrate voltage control and peak shifting of network loads
• Two 100kVA / 200kWh units connected at the LV bars of a distribution substation, to support the local transformer and the HV network
• Three 50kVA / 100kWh units connected deeper into the network on an LV distributor, supporting the LV mains cable, local transformer and HV network back to the primary substation
Electrical Energy Storage (EES)
50
Electrical Energy Storage (EES)
Winter Forecast - Rise Carr - Peak shifting
Summer Forecast - Rise Carr - Peak shifting
51
Network Monitoring
52
• Active control system to manage the enhanced devices via state estimation and volt-var control
• Network devices can operate independently but combining the technologies could give greater benefits
• Complex algorithms in central and distributed control will define the optimum set point for each device and manage each constraint to release network headroom
GUS Control System
53
• Following a safety driven process
• Identifying key personnel
• Identifying the hazards
• Impact assessment and safety cases
• Training requirements
Safety in the business
54
• Engineering safety
• Community engagement
• Local authorities
• Fire and emergency services
• Press coverage and visitors
Safety in the community
55
Safety in installation and operation
• Working groups and planning activities
• Toolbox talks, safety walks
• CDM coordination
• Safe systems of work
• Train the business and service providers
• Issue operational guidance
• Develop operational strategy
2nd December 2013 Page 56 © Siemens T&D Ltd 2013. All rights reserved.
Northern Powergrid CLNR
Grand Unified Scheme
Dr Vincent Thornley
Siemens Infrastructure & Cities Sector
Smartgrid Division
4th September 2012 UPEC Page 57 © Siemens T&D Ltd 2012. All rights reserved.
Grand Unified Scheme (GUS)
Multi-level Hierarchical Control
Enhanced Network
Devices (ENDs)
Remote Distribution
Controllers (RDCs)
Siemens Autonomous
Substation Controller
GUS Central Controller
and Applications
Siemens Spectrum
PowerCC
4th September 2012 UPEC Page 58 © Siemens T&D Ltd 2012. All rights reserved.
NewbroughLV
RT GS
Mon4
Envoy
RDC
ASC
Darlington Melrose
LV
EAVC2
TC
RT GS
Mon4
Envoy
RDC
ASC
EES2
A123
LV
RT GS
Mon4
Envoy
RDC
ASC
Rise Carr
primary substation
High Northgate
Denwick
primary substation
Wooler Bridge
Wooler St Mary’s
Wooler Ramsey
EES3
A123
Hepburn
Bell
Mortimer Road
Tickhill
Penshaw
control centre
NMS
Enmac
Planning tools
IPSA DINIS
DEBUT
SCADA
head end
Data
Warehouse
GUS
Applications
System
Hedgeley Moor
Symbol Description
Protocol conversion, data
concentration, comms routing
GUS applications
Data storage
33 kV
66 kV
6.6 kV20 kV
LV
LV
LV
LV
LV
11 kV
EAVC1
Sn+
RT GP
TG
EAVC1
Sn+
RT GP
TG
EES2
A123
RT OH
FMC
iHost comms
GUS comms
Other comms
Non-GUS systems
Whitehouse
Broxfield
Grange Wood
Glanton
RTU
Envoy
EAVC3
Sn+
PV ClusterRural Urban11 kV
Heat Pump
Cluster 1
HV/LV substation
LV
11 kV DSR RTTR
Test Cell
TP Data
Concentrator
Aggregators
RTU
Envoy
RDC
ASC
RT OH
FMC
RT OH
FMC
Envoy Nortech Envoy
FMC FMCTech OHL RTTR system
Sn+ Fundamentals SuperTAPP n+
TG Maschinenfabrik Rheinhausen Trafoguard
TC Maschinenfabrik Rheinhausen TapCon 230
Enhanced Network Device (END)
TP Data
Concentrator
iHost
GUS
controller
EAVC4
Sn+
RTU
Envoy
EAVC3
Sn+
RTU
Envoy
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
A123 A123 Systems Grid Storage Solution
RT GS
Mon4
Envoy
RT GS
Mon4
Envoy
EAVC2
TC
RT GS
Mon4
Envoy
RDC
ASC
RDC
ASC
RDC
ASC
Broomhouse
RT OH
FMC
Scar Brae
RT OH
FMC
TP Remote
Server
RTTR
FMC Tech
remote
RDC
ASC
RDC
ASC
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
RT OH
FMC
RT OH
FMC
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
Mon4
Envoy
Darlington Valley
Darlington Russell
EES1
A123
Mon4
Envoy
LV
Harrogate Hill
EES3
A123
Mon4
Envoy
RDC
ASC
Stopperdale
Marwood Cres.
RT GS
Mon4
Envoy
Lloyds Foundry
Beaumont Reservoir
Mon4
Envoy
Mon4
Envoy
ADSL / Internet
GPRS / Microwave /ADSL
RTU
Envoy
EAVC1
Sn+
RT GP
TG
EAVC1
Sn+
RT GP
TG
RDC
ASC
Humshaugh
LV
11 kV Heat Pump
Cluster 2
RT GS
Mon4
Envoy
Bardon MillLV
11 kV Heat Pump
Cluster 3
RT GS
Mon4
Envoy
EAVC2
TC
RT GS
Mon4
Envoy
RDC
ASC
EES3
A123
ASC Siemens Autonomous Substation Controller
RT Cbl
EAT
RT Cbl
EAT
RT GS
Mon4
Envoy
Mon5
PrysMon5
PrysMon5
PrysMon5
Prys
Mon5
PrysMon5
PrysMon5
PrysMon5
Prys
RT Cbl RTTR Cables
RT OH RTTR OHL
RT GS RTTR Ground-mounted secondary trfmr.
RT GP RTTR Ground-mounted primary trfmr.
EES1,2,3 Battery – 5MWh, 200 kWh, 100kWh
EAVC1,2,3,4 Enhanced AVC – primary, sec’y., caps, LV reg
Mon4 Secondary substation monitoring
Mon5 LV cable monitoring
RDC Remote Distribution Controller
RTU Remote Terminal Unit
RT Cbl
EAT
RDC
ASC
RDC
ASCEAVC4
PStar
Rise Carr
primary substation
33 kV
6.6 kV
EES1
A123
RTU
Envoy
EAVC1
Sn+
RT GP
TG
EAVC1
Sn+
RT GP
TG
RDC
ASC
RT Cbl
EAT
RT Cbl
EAT
Penshaw
control centre
NMS
Enmac
Planning tools
IPSA DINIS
DEBUT
SCADA
head end
Data
Warehouse
GUS
Applications
System
TP Data
Concentrator
Aggregators
TP Data
Concentrator
iHost
GUS
controller
2nd December 2013 Page 59 © Siemens T&D Ltd 2013. All rights reserved.
Remote Distribution Controller (RDC)
Siemens Autonomous System Controller
RDC
Siemens Autonomous Substation Controller
Battery capacity
management
Thermal modelling
Local voltage
management
Local thermal
management
Capacitor management
OLTC AVC
management
Ce
ntr
al co
ntr
ol a
nd
mo
de
ma
na
ge
me
nt
MR TapCon 230
MR TrafoGuard
SuperTAPP n+
Nortech Envoy
A123 system
Prmy. S/stn.
monitoring
A123 system
SuperTAPP n+
Monitoring
RTTR
EES
EAVC
(OLTC)
EAVC
(Cap Bank)
Primary substation Secondary substation
DSRDSR DSR management
Nortech Envoy
Da
ta C
on
ce
ntr
ato
r
Abstraction Device management Coordination Network function
Component layerSGAM
ElementCommunication layer Information layer Function layer
Lo
ca
l co
ord
ina
tio
n
Network segment – Rise Carr
4th September 2012 UPEC Page 60 © Siemens T&D Ltd 2012. All rights reserved.
Substation View – Rise Carr
4th September 2012 UPEC Page 61 © Siemens T&D Ltd 2012. All rights reserved.
4th September 2012 UPEC Page 62 © Siemens T&D Ltd 2012. All rights reserved.
State Estimation – Rise Carr
4th September 2012 UPEC Page 63 © Siemens T&D Ltd 2012. All rights reserved.
Optimisation – Rise Carr (VVC module)
4th September 2012 UPEC Page 64 © Siemens T&D Ltd 2012. All rights reserved.
Optimisation Results – Rise Carr (VVC module)
4th September 2012 UPEC Page 65 © Siemens T&D Ltd 2012. All rights reserved.
4th September 2012 UPEC Page 66 © Siemens T&D Ltd 2012. All rights reserved.
4th September 2012 UPEC Page 67 © Siemens T&D Ltd 2012. All rights reserved.
Integration into business as usual
CLNR Network Trials Knowledge Sharing Event
Mick Walbank
2nd December 2013
69
• How do we bring innovation in to business as usual?
• What are the challenges involved in bringing innovation into business as usual?
• What are the next steps for Northern Powergrid?
• CLNR business as usual outputs
Key questions
70
• By making changes to the way we operate
• Training our staff in how to use new software packages / processes
• By finding optimal solutions
How do we bring innovation into BAU?
71
Assess technology
Modify policy
Policy advises design
How do we bring innovation into BAU?
72
Assess technology
Modify policy
Policy advises design
How do we bring innovation into BAU?
73
Assess technology
Modify policy
Policy advises design
How do we bring innovation into BAU?
74
Assess technology
Modify policy
Policy advises design
How do we bring innovation into BAU?
75
• Example – Starting point
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
10 MVA
10MVA
12MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
76
10 MVA
10MVA
• Example – Connecting a generator
12MVA
20MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
-5
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
77
• Reinforce the network
10 MVA
10MVA
12MVA
20MVA
12MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
78
• Constrained connection – non-firm capacity
10MVA
10MVA
12MVA
20MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
79
• Battery
10MVA
10MVA
12MVA
20MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
-5
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
80
• Second generator comes along
10MVA
10MVA
12MVA
20MVA
5MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
-10
-5
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
81
• Energy management scheme
10MVA
10MVA
12MVA
20MVA
5MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
82
• Grand Unified Scheme (GUS)
10MVA
10MVA
12MVA
20MVA
5MVA
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
-10
-5
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
0
5
10
15
20
25
01:00 05:00 09:00 13:00 17:00 21:00
More options to connect
83
• Real time thermal ratings
• Demand side response – increase or decrease
• Improved cyclic ratings
• Mesh networks
• Automatic switching schemes post fault
More options to connect
84
For customers: more choice
• Understand the options
• Trust that the DNO is doing the right thing
Who pays?
• DNO? Customer? Last to connect? Shared service?
• Grandfathering rights
• Auction
Order
• Contractual requirements to make the schemes work
Customer choice
85
For DNOs:
• Will we guarantee the solution?
• Turndown in demand?
• What happens when another party wants to connect?
• How will the risk be managed operationally?
Managing the risk
86
• Updated LV design standard
- Is the ACE49 / DEBUT method still appropriate?
• Updated to provide:
- Revised customer load profiles and statistical variance on the profiles
- A method for modelling LV generation
- Profiles for LCTs
• Operational procedures for new network technology, e.g.
- Energy Storage
- LV OLTC
Next steps for Northern Powergrid
87
• Optimal solutions report
- Feed in from VEEEG and other projects
- Present Northern Powergrid’s view of acceptable risk
- Defined view of solution, benefit and cost
• Revised policy documents
- Feed in from optimal solutions report
• Application guidance for:
- RTTR, EAVC, DSR, EES
• Revision to design policy
Next steps for Northern Powergrid
88
• Procurement specifications
- Initially created for CLNR procurement
- Revised due to learning at each deployment stage
- Design, procurement process, installation, commissioning and analysis
• Lessons learned reports
- Capture all of the lessons
- Early lessons learned seem obvious now … we’ve come a long way thanks to LCNF
- Reports for each technology type
Next steps for Northern Powergrid
89
• Training packages
- Who needs to learn what?
- Matrices of staff roles and knowledge required
- Modularised training materials
- Avoid death by PowerPoint
- Case studies
- E-learning module on Smart Grid technology
• NPADDs … more to come on this
Next steps for Northern Powergrid
Network Planning and
Design Decision Support
(NPADDS)
Daniel Hollingworth / Ronnie Mukherjee
CLNR Dissemination 2nd
December 2013
New design and planning
tools – why?
91
0
10,000,000
20,000,000
2012 2022 2032 2042
PV Rollout
Low
Med
High
0
10,000,000
20,000,000
2012 2022 2032 2042
Domestic HP Rollout
Low
Med
High
0
500,000
1,000,000
2012 2022 2032 2042
Commercial HP Rollout
Low
Med
High
0
25,000,000
50,000,000
2012 2022 2032 2042
EVRollout
Low
Med
High
92
New design and planning tools –
Why?
– Uses ‘core’ network data
– Identifies constraint breaches
– Allows assessment of future scenarios
– Proposes solutions
– Allows the modelling of solutions
– Assists with compliance with policies
93
NPADDS Functionality
LV Design
Guidance
OHL
Design
Guidance
Voltage
Control
Policy
Context
specific
“advice”
– Connections Estimators
• High volume requests
• Yes / no result
– Designers
• Detailed assessment results
• Proposed solutions
– Planners
• Wider area assessments
• Multi-year assessments
94
Users
• Integrated assessment of HV and LV
• Multi-year assessments
• Assessment results are saved
95
Constraint Assessment
HV
LV
DEBUT Study
IPSA Study
Max demand
Min demand
% utilisation
%V drop
%V rise
Max demand
Min demand
% utilisation
%V drop
%V rise
V min
V max
V min
V max
• Method of network representation
• Needs additional classes
• Reduces risks of lock-in
96
Common Information Model
(CIM)
• Updating policy and guidance documents
• Policies linked to design tools
• Making information accessible…
…moving away from paper
97
Policies
NPg – CLNR WPD – Falcon SSE – TVV
Users Connections
Design
Tactical Planning
Tactical Planning
Strategic Planning
Connections
Systems Design
Voltage Level MV, LV MV LV
Load Modelling No Yes Yes
Solution
Coverage
AVC, RTTR, DSR,
EES
AVC, RTTR, DSR,
EES
AVC, DSR, EES
Cost Benefit
Assessment
Yes – of individual
solutions
Yes – of multiple
solution options
Yes
Assessment
Engines
IPSA™, DEBUT,
EGD
IPSA™ GE DMS
DigSILENT
98
LCNF Software Tools - Comparison
Today’s demonstration
• Low voltage PV tool
• LV multi-year assessment: LCT scenarios
• HV assessment: max demand and max generation
• HV multi-year assessment: load growth
99
NPADDS Demo
LV PV Tool
• Reports the amount of PV just before it sees voltage rise above a
threshold
• Placement weighting
• Conservatism should be added. How, how much?
10
0
NPADDS Demo
Near Mid Far
LV Multi Year Assessment
10
1
NPADDS Demo
LCT Quantity
Location
Weighting
LCT Placement
Run DEBUT /
EGD
Results
Change Year
HV Single Year Assessment
• Integrated MV/LV assessment
– Uses results from LV assessments
– Can view MV and LV results together
• Load allocation
– Use of monitoring data
• TOU HV assessments
– Use DEBUT HH results, or
– Use MDI continuous load
10
2
NPADDS Demo
HV Multi Year Assessment
10
3
NPADDS Demo
Load Growth
Factor
Max Demand:
DEBUT
Substation
Results
Max Generation:
EGD Substation
Results
Run IPSA Load
Flow
Results
Change Year
• Solution Modelling
• Policy Integration
– Search tools
– Context specific advice
• Incorporate Learning
10
4
NPADDS Next Steps
Dissemination
• Option to provide a link to a web based demonstration platform
– CLNR Test Cell Networks
• NPADDS Specification
– What was done as part of the prototype
• Enduring Specification
– Functions of a fully deployed / integrated tool
10
5
CLNR NPADDS Outputs