Low Carbon Network Fund Conference slides 12 – 14 November 2013 Transition from IFI & LCNF to NIA Darren Jones 12 November 2013 Timeline • Key •Innovation Individual PhraseFunding Project – Innovation •
Download ReportTranscript Low Carbon Network Fund Conference slides 12 – 14 November 2013 Transition from IFI & LCNF to NIA Darren Jones 12 November 2013 Timeline • Key •Innovation Individual PhraseFunding Project – Innovation •
Low Carbon Network Fund Conference slides 12 – 14 November 2013 1 Transition from IFI & LCNF to NIA Darren Jones 12 November 2013 2 Timeline • Key •Innovation Individual PhraseFunding Project – Innovation • • GPG Stimuli MoreG85 defined arewritten aimed at Incentive registration delivering a(not cultural change by eligibility ENA where R&D criteria DNOs approval) thewith ethos, structures to offerand • establish Prior to 2005 low internal • Group More third Ofgem party contacts that facilitate basic guidance innovation level of industry dissemination as part innovation of business as •usual driven Light required touch – LCNF reporting conference/formal requirements close-down reports LCNF T1 NIA IFI 2005 2010 2015 2023 3 Key changes Oversight IFI closes in 2015 Project Parameters ‘De-minimis’ DNO Innovation Strategy 4 ENA knowledge dissemination portal 5 Number Fuse Operations – 2005 Figures Number of Circuits Affected (out of 120,000) 1 2 3 4 5 1,665 635 329 204 131 Number of Circuits Affected Examples – smart fuse project 1800 1600 1400 1200 1000 800 600 400 200 0 1 3 5 7 9 11 13 15 17 Number of Fuse Operations 6 Examples - smart fuse PEA Information required Description Project title Smart fuse Funding licensee(s) ENWL Problem(s) Transient fault management Method(s) Develop a new ‘widget’ & implement as business as usual Scope & objectives New product development | Test | Implement & measure results Success criteria Reduction of CIS and CMLs Project partners & external funding Kelvatek Potential for new learning Network monitoring Scale of project Build prototype | Productionise | Implement & measure results Geographical area ENWL licensee area Payments to related undertakings None 7 Examples - smart fuse ££££ Information required Revenue allowed for in the RIIO settlement Indicative total NIA project expenditure Description Cost of cable overlays £600k over four years │ 80% of faults are transient Base case cost │ £500 for an LV fault │ ~ 5000 fuse operations in 2005 x £500 ~ £2.5m │ Project cost £600k Method cost │ To cover 50% of circuits at any one time requires 600 smart fuses - £300k │ £200k set up costs (policies and training) Financial benefit of the project │ Could eliminate 3700 fuse operations x £500 = £1.8M pa - 10 yr. Lifetime for device │ £18M - £1.1m = £16.9M project financial benefit 8 Examples – oil regeneration project 9 Examples - oil regeneration PEA Information required Description Project title Oil Regeneration Funding licensee(s) ENWL Problem(s) Transient fault management Method(s) Develop a new process and implement as business as usual Scope & objectives New product development | Test | Implement & measure results Success criteria Life extension Project partners & external funding University of Manchester Potential for new learning Asset Management Scale of project | Define benefits and trial | Implement and measure results Geographical area ENWL licensee area Payments to related undertakings None 10 Examples - oil regeneration - £££ Information required Revenue allowed for in the RIIO settlement Indicative total NIA project expenditure Base case cost Description Cost of transformer replacement £250k over two years │ £500k for primary transformer replacement │ £2M for grid transformer replacement Method cost Financial benefit of the project £50k for oil regeneration process per transformer Deferment of the replacement of 70 grid & primary transformers 11 Conclusion Measurable financial value to customers NIA rules not unreasonable Innovation Strategy is key Project must ‘tell a story’ How will it be Implemented in a DNO business 12 CLASS Customer Load Active System Services Victoria Turnham 13 November 2013 13 Customer Load Active System Services Maximise use of existing assets Offer new services and choice for the future Delivering value to customers Generate value for customers now Customer Load Active System Services - Expert Panel Presentation Innovative solutions to real problems Proven technology deployable today CLASS 14 Back to school for a moment . . . This fundamental relationship is at the heart of CLASS But how will it change over time as customers adopt new devices? How could we use this relationship in a smart way to benefit customers? Customer Load Active System Services - Expert Panel Presentation 15 How does it work 00:03:00 2% 00:00:08 2% The cost £ to make your cup of tea is always the same! “A problem shared is a problem halved . . .” 20,000 homes in a town 200,000 homes in a city 26 million across the UK What problems could we solve ? 16 CLASS proposes to harness thousands of tiny changes at just the right time 2% decrease in demand at peak times Lower network costs Faster connections Today High peak demand 2% decrease in demand 2% increase in demand Lower balancing costs Reduced carbon Lower energy costs Tomorrow Response and reserve Future Wind following 17 The CLASS trials Objective Technique Load modelling Establish voltage/demand relationship Raise & lower tap position Demand response Demand response for peak reduction Lower tap position Primary response to reduce demand when frequency falls on the transmission network Switch out transformer Secondary response to reduce demand after primary response above Lower tap position Absorb high voltages that occur on the transmission network Stagger tap position Frequency response Reactive power 18 CLASS system overview Autonomous substation controller 60 primary substations SCADA Electricity transmission operator Project control PowerOn Fusion™ Dashboard XA21™ PowerOn Fusion™ Dashboard ICCP 19 The technology Smart voltage control relay in major substations linked to control centre Allows voltage to be adjusted to drive demand changes. Automatically stabilises network frequency. Keeps voltages at safe levels on transmission and distribution networks with high amount of DG Advanced Network Management System Links DNO control centre to National Grid control centre. Advanced dashboard measures real time availability. Allows demand and voltage control call off when required Harnessing world class technology in a innovative solution 20 CLASS system overview Autonomous substation controller 60 primary substations Scada Electricity transmission operator Project control PowerOn Fusion™ Dashboard XA21™ PowerOn Fusion™ Dashboard ICCP 21 CLASS system overview Autonomous substation controller 60 primary substations Scada Electricity transmission operator Project control PowerOn Fusion™ Dashboard XA21™ PowerOn Fusion™ Dashboard ICCP 22 The CLASS dashboard Group T11 Tap/Current T12 Tap/Current South manch Trafford 11.1kV T11 6/400A T12 6/400A Monton 11kV T11 6/400A T12 6/400A Mount st 10.9kV T11 6/400A T12 6/400A Frequency control MW Demand % Voltage Control Mvars Boost Reduction Stage 1 Stage 2 Stage 1 Stage 2 Stage 3 Half Full Half Full 6 4 0.4 0.8 1.2 2 4 2 4 Enabled Activated Enabled Enabled Activated Enabled Enabled 3 2 0.2 0.4 0.6 1 2 Enabled Activated Enabled Enabled Activated Enabled Enabled 3 2 0.2 0.4 0.6 1 2 Enabled Activated Enabled Enabled Activated Enabled Enabled 0 0 0 0 0 0 0 Inhibited Inhibited Inhibited Inhibited Inhibited Disabled 1 2 Disabled 1 2 Disabled 0 0 Inhibited Inhibited 23 CLASS system overview Autonomous substation controller 60 primary substations Scada Electricity transmission operator Project control PowerOn Fusion™ Dashboard XA21™ PowerOn Fusion™ Dashboard ICCP 24 ICCP (Inter Control Centre Protocol) DNO control centre National Grid control centre Dashboard Control call Measures real time availability Demand and voltage control call off 25 CLASS: Customer Load Active System Services Exploiting assets, innovative thinking and tiny changes at just the right time Technical innovation Reinforcement deferral, response balancing and voltage control World class technology Carbon savings and lower customer bills Financial and carbon savings for customers VV&&DD data data underpins underpins network network management management now and and into now into thefuture future the New understanding of a fundamental relationship CLASS will deliver savings to DNO customers and across the supply chain 26 The Smart Fuse Darren Jones 13 November 2013 27 IFI Project - 2006 to 2010 2006 2007 2008 2009 2010 28 ENWT1001 the bidoyng smart fuse Load data gathering Improve customer service Development of policies and procedures 29 Load data analysis Way Number Loads Total Generation (kWp) Generation per load (kWp/house) 1 29 22.0 0.76 2 32 16.0 0.47 99.8 1.49 Modelled in OpenDSS 3 67 4by PhD students 73 Total 201 88.9 1.22 Using the DEI smart 226.7 grid lab to recreate1.12 the load/export profiles 30 Load data analysis 31 Load data analysis Parameters measured included Conclusions (at these locations) Mean Minimum Without effects of PV Maximum The voltage remains within a Bus-neutral voltage tight band at the LV transformer and is governed by the voltage Feeder current on the 11kV network With effects Mean of PV TheApparent PV influences power power factor causing it to reduce due to the real Power factor power component of the PV output Reactive power and there is no noticeable effect of PV on LV transformer voltage Real power 32 Improving customer service % Breakdown of LV CI’s & CML’s (Data: 2007) 100 90 80 70 60 50 40 30 20 10 0 U/G Mains U/G Services O/H Mains O/H Services 33 Improving customer service Frequency 1800 1600 1400 1200 1000 800 600 400 200 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 No of Operations 34 Improving customer service [ 1st Trip ] Replace Fuse Obtain a Fault Location 2nd [ Trip ] Fit ReZap(s) / Bidoyngs Warn off Customers Verify Location – Sniffer / TP22 Repair Fault Time 35 Improving customer service 36 Supply restoration Example Fault - Newlyn Ave, Macclesfield 37 Supply restoration Example Fault - Newlyn Ave, Macclesfield 2 x modular rezaps + 1 x bidoyng Fault location 86m +/- 15m Only 3 trips to achieve fault location Fault location actually at 71m Verified using fault sniffer Backfed & cut either side of faulty joint 38 Supply restoration Example Fault - Newlyn Ave, Macclesfield 39 Conclusions Project completed Initial idea to BAU Confidence in technology Vision of main business Key to success Long term investment Relationship with Vendor Long term benefits for industry 40 LV Networks of the Future Geraldine Bryson – Future Networks Technical Manager LNCF Conference 13 November 2013 41 What are the issues? PV – 129 943 HP – 86 948 EV – 252 200 Products already discussed help today’s network issues What about networks of the future? Uptake of LCTs DECC Scenario 4 by 2030 Coping with increase in demand and generation? 42 One solution eta Tier 1 Voltage Network 2013 TierMonitoring 2 Configuration Proposal Data Real Time Control Optimisation Software Active Network Management 43 What will it look like? Primary Transformer Automatic Voltage Controller (AVC) Key: LV Network Management LV/HV Voltage Control Network Management System and Interface Network Configuration and Voltage Optimisation LV Capacitor Optimisation Software ICCP Link ENWL NMS HV Capacitor LV Meshing Point Distribution Transformer AVC LV Circuit Breakers HV Meshing Point 44 Voltage control Distribution transformers - OLTC Capacitors Increase capacity Improve voltage to customer 260 258 256 254 L1 252 L2 250 L3 248 246 244 45 Existing radial network Network limitations Diversity between feeders is untapped Fuses unable to cope with cold load pick up Customer impact Customers’ needs invisible to the network Demand and generation levels limited by passive voltage control systems Reliability driven by fix on fail 46 Future meshed networks Software C C2C C C W C2C CLASS L W C W C C C2C L C Key C2C C Capacity to Customers W LV circuit Capacitor L Link box Voltage stabilised across the load range Power flows optimised 47 Network configuration Meshing networks unlocks capacity Why hasn’t it been done before? What’s different now? Development of new technology for LV network IT HAS…. Fuse Technologies 48 New LV devices WEEZAP Retrofit device Vacuum circuit breaker Network management Communications Greater control for LV Network Enhanced protection for initial fault response 49 Conclusions Fault management – great for today’s network Better ways to manage What about the future? LV networks Real time network configuration Real time voltage control New products New application 50 Update on LV network monitoring and learning outcomes Breakout session 2 Network monitoring solutions Dan Randles LCNF Conference 13 November 2013 51 Aims and objectives To aid business planning To improve understanding Text Remove potential barriers To trial solutions to manage voltages 52 Check list… Determine monitoring requirements Prepare functional specifications Tender and procure equipment Approve installation and commissioning procedures Train installation crews Roll out to site Prepare for data capture (architecture and protocols) Extract, cleanse and transfer network and customer data Develop models and validate results Investigate variances Leverage early learning to support business planning 53 Check list… Drive value for our customers 54 The role of network monitoring Challenge Solutions New technology 55 5 July 21 July 2013 28 July 2013 Voltage Real power Harmonics Sun intensity Some results… 56 What are the issues? Challenge Loads Moving data Allocation from GIS into of power flow individual engine customer 5 x 10 Result storage Allocation Time series of sites and simulation sizes 3 phase four wire power flow 5 Substation 3 4.018 Impact assessment Voltage problems Substation 16 x 10 3.9835 3.983 4.0175 3.9825 4.017 3.982 Utilisation level 3.9815 [m] 4.0165 [m] Power flow PV 4.016 loads 3.981 3.9805 4.0155 3.98 4.015 3.9795 4.0145 3.979 3.9785 4.014 3.569 3.57 3.571 3.572 [m] 3.573 3.574 3.863 5 x 10 3.864 3.865 3.866 [m] 3.867 3.868 3.869 5 x 10 Energy losses 57 Some interesting findings 58 Meshing LV networks – results Subte1 - Feeder4 Subte1 - Feeder4 80 220 Radial Operation Meshed Operation Radial Operation Meshed Operation 200 60 180 50 160 3.5 [%] Customers [%] 70 40 Winter Load EHP Summer Load PV 140 3 120 30 2.5 100 20 80 kW 2 10 0 60 1.5 0 10 20 30 40 50 60 70 80 90 PV Penetration [%] 100 40 0 10 20 30 40 50 60 70 80 90 100 EHP Penetration [%] 1 0.5 % of customers with voltage problems Utilisation level of the first 24 hours - 30 min resolution feeder segment 0 0 5 10 15 20 25 30 35 40 45 Inputs: Profiles Network Impact assessment tool for+the case without and with meshed connection 59 Next steps Investigate use of advanced voltage control on LV networks (LoVIA) Bidoyng smart fuse - project close down report to be published December 2013 Voltage management at LV busbars - project close down report to be published January 2014 Additional dissemination planned Continue work to refine LV network models, evaluate and analyse monitoring data Develop representative LV networks and solutions Consider benefits case for ongoing cost-effective deployment 60 Conclusion Even relatively small trials are generating large amounts of data Key to facilitating better understanding Low cost initial intervention if problems are unclear Low cost retrofit devices now available in the market Management of this data represents a new challenge Potential to release capacity quickly via innovative low cost solutions We can now explore options via accurate, validated simulations 61 Questions and useful links [email protected] www.enwl.co.uk/thefuture 0800 195 4141 @ElectricityNW linkedin.com/company/electricity-north-west facebook.com/ElectricityNorthWest youtube.com/ElectricityNorthWest [email protected] 62 ENW Customer Engagement Mark Crane Future Networks Commercial Manager 14 November 2013 63 Innovatively releasing Capacity to Customers Capacity to customers Technical innovation Utilised capacity Current demand New commercial contracts Latent capacity | Combining proven technology & new commercial contracts | Allows us to release significant network capacity back to customers | Facilitating connection of new demand & generation without reinforcement | Apply remote control equipment to the HV circuit and close the normal open point | Enhance network management software | This effectively doubles the available capacity of the circuit negating the need for traditional reinforcement | To retain customers’ security of supply we will utilise innovative demand side response contracts | These contracts will allow us to control the consumption of customers on a circuit at the time of fault 64 The C2C concept Primary Substation New customers Existing customers Reduced charge for connecting to the network A variable revenue stream dependent upon level of flexibility For both new and existing customers an opportunity to participate in an innovative trial that will generate learning for the future operation of distribution networks 65 Understanding the Customer Existing Customers 66 Understanding the customer Quantitative Qualitative Surveyed 200 customers for an n-1 DSR contract Small number directly engaged initially via workshops 67 Understanding the customer Uncertainty regarding disruption or multiple disruptions Appeal Effects of value added offerings on the customer’s business Flexible Maximum protected days and option for protected circuits outages per annum and duration to be defined Open & Honest Way Understand price level Maximum of 2 Events P.A. 68 Price model development Rekon Report – 25th May 2012 Aggregator 1 Other DSM Aggregator 4 Different views on the value of n-1DSR Qualitative £20k/MVA p.a.IISmid-point target (availability Original Aggregator Aggregator payment) Bid MVA p.a. £10k 2 £15k 3 £20-30k Customer Research £40k £90k 69 Commercial contract terms Presentations Initial fears can were to the becrucial quickly customer’s overcome with understanding ‘comfort’ factors Flexible options became less important Customer interface developed to allow freedom to choose and explore price / flexibility Face to face meetings are important 70 Stuart Murray Group Company Accountant 71 Initial engagement Response and initial barriers to signing Reasons for signing Further low carbon initiative considerations 72 Contract Development Existing Customers 73 Contract template development Demandand generation Generation Demand NTC Existing customers DCUSA Contract Contract Contract Options: • Outage duration (from 2 – 8 hours) • Protected days • Protected load • Outage times, days and seasons options Managed connection agreement Customers requested the contract be as simple as possible Project deliverable to sign a minimum of 10 ‘existing customers’ 74 Progress to Date Existing Customers 75 Customer spread-load size v price v sector £k/MVA £k/MWp.a. p.a. 35 341kVA 30 25 130kVA 185kVA 630kVA 800kVA 600kVA 487kVA Utilities Leisure Manufacturing Retail 20 20 15 800kVA 10 1800kVA 5200kVA 5 0 10 customers signed up, totalling 11.6MVA at an average price of £22,570/MVA p.a. varying different market sectors and size from 130kVA to 5200kVA 76 DSR observations Partners Larger catchment area, lower price High Voltage feeder balancing reliant on SMEs (mainly manufacturing) Grid & Primary balancing – access larger strategic partners and manufacturers 77 Routes to Market Existing Customers 78 Routes to market On-cost Overhead 30% 8% Aggregator/Agent DNO Direct 79 Conclusion Existing Customers 80 Conclusion n-1 DSR n-1 DSR is highly viable and competitively priced under this model Opportunity for Aggregators to reduce their margin or DNOs to increase capability DNO direct customer engagement is attractive because: Lower overhead ENW decision to discount G&P reinforcement in RIIO ED1 by 20% through the use of DSR/M contracts Ongoing customer relationship management 81