Low Carbon Network Fund

Transcription

1 Low Carbon Network Fund Conference slides November

2 Transition from IFI & LCNF to NIA Darren Jones 12 November

3 Timeline Key Innovation Individual Phrase Funding Project Innovation GPG Stimuli More G85 defined are written aimed at Incentive registration delivering a (not cultural change by eligibility ENA where R&D criteria DNOs establish Prior approval) to 2005 the with ethos, low internal Group More structures to offer and third level Ofgem party of industry contacts that facilitate basic dissemination guidance innovation as driven part innovation of business as usual Light required touch LCNF reporting conference/formal requirements close-down reports IFI LCNF T1 NIA

4 Key changes Oversight IFI closes in 2015 Project Parameters De-minimis DNO Innovation Strategy 4

5 ENA knowledge dissemination portal 5

6 Number of Circuits Affected Examples smart fuse project Number Fuse Operations 2005 Figures Number of Circuits Affected (out of 120,000) 1 1, Number of Fuse Operations 6

7 Examples - smart fuse PEA Information required Project title Funding licensee(s) Problem(s) Method(s) Scope & objectives Success criteria Project partners & external funding Potential for new learning Scale of project Geographical area Payments to related undertakings Description Smart fuse ENWL Transient fault management Develop a new widget & implement as business as usual New product development Test Implement & measure results Reduction of CIS and CMLs Kelvatek Network monitoring Build prototype Productionise Implement & measure results ENWL licensee area None 7

8 Examples - smart fuse Information required Revenue allowed for in the RIIO settlement Indicative total NIA project expenditure Cost of cable overlays 600k over four years Description Base case cost 80% of faults are transient 500 for an LV fault ~ 5000 fuse operations in 2005 x 500 ~ 2.5m Method cost Financial benefit of the project Project cost 600k To cover 50% of circuits at any one time requires 600 smart fuses - 300k 200k set up costs (policies and training) Could eliminate 3700 fuse operations x 500 = 1.8M pa - 10 yr. Lifetime for device 18M - 1.1m = 16.9M project financial benefit 8

9 Examples oil regeneration project 9

10 Examples - oil regeneration PEA Information required Project title Funding licensee(s) Problem(s) Method(s) Scope & objectives Success criteria Project partners & external funding Potential for new learning Scale of project Geographical area Payments to related undertakings Description Oil Regeneration ENWL Transient fault management Develop a new process and implement as business as usual New product development Test Implement & measure results Life extension University of Manchester Asset Management Define benefits and trial Implement and measure results ENWL licensee area None 10

11 Examples - oil regeneration - Information required Revenue allowed for in the RIIO settlement Indicative total NIA project expenditure Base case cost Method cost Description Cost of transformer replacement 250k over two years 500k for primary transformer replacement 2M for grid transformer replacement 50k for oil regeneration process per transformer Financial benefit of the project Deferment of the replacement of 70 grid & primary transformers 11

12 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

13 CLASS Customer Load Active System Services Victoria Turnham 13 November

14 Customer Load Active System Services Offer new services and choice for the future Maximise use of existing assets Delivering value to customers Innovative solutions to real problems Generate value for customers now Proven technology deployable today CLASS Customer Load Active System Services - Expert Panel Presentation 14

15 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

16 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

17 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 2% decrease in demand Lower balancing costs Reduced carbon 2% increase in demand Lower energy costs Today Tomorrow Future High peak demand Response and reserve Wind following 17

18 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 Frequency response Primary response to reduce demand when frequency falls on the transmission network Secondary response to reduce demand after primary response above Switch out transformer Lower tap position Reactive power Absorb high voltages that occur on the transmission network Stagger tap position 18

19 CLASS system overview Autonomous substation controller Electricity transmission operator 60 primary substations Project control XA21 PowerOn Fusion Dashboard SCADA PowerOn Fusion Dashboard ICCP 19

20 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

21 CLASS system overview Autonomous substation controller Electricity transmission operator 60 primary substations Project control XA21 PowerOn Fusion Dashboard Scada PowerOn Fusion Dashboard ICCP 21

22 CLASS system overview Autonomous substation controller Electricity transmission operator 60 primary substations Project control XA21 PowerOn Fusion Dashboard Scada PowerOn Fusion Dashboard ICCP 22

23 The CLASS dashboard Group South manch Trafford 11.1kV Monton 11kV T11 Tap/Current T12 Tap/Current T11 6/400A T12 6/400A T11 6/400A T12 6/400A Frequency control MW Voltage Control Mvars Boost Demand % Reduction Stage 1 Stage 2 Stage 1 Stage 2 Stage 3 Half Full Half Full Enabled Activated Enabled Enabled Activated Disabled Enabled Enabled Enabled Activated Enabled Enabled Activated Disabled Enabled Enabled Enabled Activated Enabled Enabled Activated Disabled Enabled Enabled Mount st 10.9kV T11 6/400A T12 6/400A Inhibited Inhibited Inhibited Inhibited Inhibited Inhibited Inhibited 23

24 CLASS system overview Autonomous substation controller Electricity transmission operator 60 primary substations Project control XA21 PowerOn Fusion Dashboard Scada PowerOn Fusion Dashboard ICCP 24

25 ICCP (Inter Control Centre Protocol) DNO control centre National Grid control centre Dashboard Measures real time availability Control call Demand and voltage control call off 25

26 CLASS: Customer Load Active System Services Exploiting assets, innovative thinking and tiny changes at just the right time Reinforcement deferral, response balancing and voltage control Carbon savings and lower customer bills V & D data V & D data underpins network management now and into the future management now and into the future Technical innovation World class technology Financial and carbon savings for customers New understanding of a fundamental relationship CLASS will deliver savings to DNO customers and across the supply chain 26

27 The Smart Fuse Darren Jones 13 November

28 IFI Project to

29 ENWT1001 the bidoyng smart fuse Load data gathering Improve customer service Development of policies and procedures 29

30 Load data analysis Way Number Loads Modelled 3 in OpenDSS 67 by PhD students 73 Total 201 Total Generation (kwp) Generation per load (kwp/house) Using the DEI smart grid lab to recreate 1.12 the load/export profiles 30

31 Load data analysis 31

32 Load data analysis Parameters measured included Conclusions (at these locations) Mean Without Minimum effects of PV Maximum With effects Mean of PV Bus-neutral voltage The voltage remains within a tight band at the LV transformer and is governed by the voltage on Feeder the 11kV current network Apparent power Power factor Reactive power Real power The PV influences power factor causing it to reduce due to the real power component of the PV output and there is no noticeable effect of PV on LV transformer voltage 32

33 Improving customer service % Breakdown of LV CI s & CML s (Data: 2007) U/G Mains U/G Services O/H Mains O/H Services 33

34 Improving customer service Frequency No of Operations 34

35 Improving customer service [ 1st Trip ] Replace Fuse Obtain a Fault Location Warn off Customers [ 2 nd Trip ] Fit ReZap(s) / Bidoyngs Verify Location Sniffer / TP22 Repair Fault Time 35

36 Improving customer service 36

37 Supply restoration Example Fault - Newlyn Ave, Macclesfield 37

38 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

39 Supply restoration Example Fault - Newlyn Ave, Macclesfield 39

40 Conclusions Project completed Initial idea to BAU Key to success Relationship with Vendor Confidence in technology Vision of main business Long term investment Long term benefits for industry 40

41 LV Networks of the Future Geraldine Bryson Future Networks Technical Manager LNCF Conference 13 November

42 What are the issues? PV HP EV 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

43 One solution eta Voltage Tier 1 Network 2013 Tier Monitoring 2 Configuration Proposal Data Optimisation Software Real Time Control Active Network Management 43

44 What will it look like? Key: LV Network Management LV/HV Voltage Control Network Management System and Interface Network Configuration and Voltage Optimisation Primary Transformer - Automatic Voltage Controller (AVC) Optimisation Software ICCP Link ENWL NMS LV Capacitor HV Capacitor LV Meshing Point LV Circuit Breakers HV Meshing Point Distribution Transformer AVC 44

45 Voltage control Distribution transformers - OLTC Capacitors Increase capacity Improve voltage to customer L1 L2 L3 45

46 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

47 Future meshed networks Software C C 2 C C W C CLASS C 2 C W C L W C C C 2 C C L Key C 2 C Capacity to Customers W LV circuit C Capacitor L Link box Voltage stabilised across the load range Power flows optimised 47

48 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

49 New LV devices WEEZAP Retrofit device Vacuum circuit breaker Network management Communications Greater control for LV Network Enhanced protection for initial fault response 49

50 Conclusions Fault management great for today s network Better ways to manage What about the future? Real time network configuration LV networks Real time voltage control New products New application 50

51 Update on LV network monitoring and learning outcomes Breakout session 2 Network monitoring solutions Dan Randles LCNF Conference 13 November

52 Aims and objectives To aid business planning To improve understanding Text Remove potential barriers To trial solutions to manage voltages 52

53 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

54 Check list Drive value for our customers 54

55 The role of network monitoring Challenge Solutions New technology 55

56 Voltage Real power Harmonics Sun intensity Some results 5 July 21 July July

57 [m] [m] What are the issues? Challenge Loads PV Power flow Result storage Impact assessment Moving data from GIS into power flow engine Allocation of individual customer loads x 10 5 Substation 3 Allocation of sites and sizes [m] x 10 5 Time series simulation phase four wire power flow x 10 5 Substation [m] x 10 5 Voltage problems Utilisation level Energy losses 57

58 Some interesting findings 58

59 kw Customers [%] [%] Meshing LV networks results Subte 1 - Feeder 4 Radial Operation Meshed Operation Subte 1 - Feeder 4 Radial Operation Meshed Operation PV Penetration [%] Winter Load EHP Summer Load PV EHP Penetration [%] % of customers with voltage problems 0.5 Utilisation 0 level of the first hours - 30 min resolution feeder segment Impact assessment Inputs: Profiles tool for + the Network case without and with meshed connection 59

60 Next steps 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 Investigate use of advanced voltage control on LV networks (LoVIA) 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

61 Conclusion Key to facilitating better understanding Low cost initial intervention if problems are unclear Low cost retrofit devices now available in the market Even relatively small trials are generating large amounts of data 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

62 Questions and useful links linkedin.com/company/electricity-north-west facebook.com/electricitynorthwest youtube.com/electricitynorthwest 62

63 ENW Customer Engagement Mark Crane Future Networks Commercial Manager 14 November

64 Innovatively releasing Capacity to Customers Capacity to customers Technical innovation New commercial contracts Utilised capacity Current demand 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

65 The C 2 C concept Primary Substation New customers Reduced charge for connecting to the network Existing customers 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

66 Understanding the Customer Existing Customers 66

67 Understanding the customer Quantitative Qualitative Surveyed 200 customers for an n-1 DSR contract Small number directly engaged initially via workshops 67

68 Understanding the customer Uncertainty regarding disruption or multiple disruptions Appeal of value added offerings Effects on the customer s business Flexible protected days and option for protected circuits Open & Honest Way Maximum outages per annum and duration to be defined Understand price level Maximum of 2 Events P.A. 68

69 Price model development Rekon Report 25 th May 2012 Original Bid Aggregator 1 IIS Other DSM Aggregator 2 Aggregator 3 Aggregator 4 Different views on the value of n-1dsr 20k/MVA p.a. mid-point target (availability payment) Qualitative Customer Research MVA p.a. 10k 15k 20-30k 40k 90k 69

70 Commercial contract terms Presentations Initial fears can be quickly customer s overcome with understanding comfort factors were crucial to the Flexible options became less important Face to face meetings are important Customer interface developed to allow freedom to choose and explore price / flexibility 70

71 Stuart Murray Group Company Accountant 71

72 Initial engagement Response and initial barriers to signing Reasons for signing Further low carbon initiative considerations 72

73 Contract Development Existing Customers 73

74 Contract template development Demand and generation Generation Existing customers Contract Contract Contract NTC DCUSA 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

75 Progress to Date Existing Customers 75

76 Customer spread-load size v price v sector k/mva k/mw p.a kVA 130kVA 341kVA 800kVA 487kVA 800kVA 5200kVA 630kVA 600kVA 1800kVA Utilities Leisure Manufacturing Retail 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

77 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

78 Routes to Market Existing Customers 78

79 Routes to market On-cost Overhead 30% 8% Aggregator/Agent DNO Direct 79

80 Conclusion Existing Customers 80

81 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