Optimising grids - Electricity North West

January 5, 2018 | Author: Anonymous | Category: Engineering & Technology, Computer Science, Computer Networks
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Optimising grids Understanding capacity needs to make networks more efficient Mike Kay Networks Strategy and Technical Support Director

23 September 2014

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Connecting the North West

5 million

2.4 million 23.5 terawatt £12.3 billion assets

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UK energy challenges

+ 2014 1/3 gas 1/3 electricity 1/3 oil

2020 2050 34% CO2 reduction 80% CO2 reduction 40% from wind / PV Significant and new nuclear increase in 5% transport 120,000 electricity demand electric vehicles 26 million smart meters fitted

RIIO-ED1 Traditional reinforcement unaffordable DG represents the most immediate challenge

Uncertainty in future demand and generation  Difficult to predict demand  More pressure to meet customers’ needs at minimum cost 3

Our innovation strategy

Offer new services and choice for the future

‘Fit and forget’

Generate value for customers now

Maximise use of existing assets

Delivering value to customers

Proven technology deployable today

Innovative solutions to real problems

www.enwl.co.uk/thefuture 4

Our smart grid programme

Leading work on developing smart solutions Deliver value from existing assets Three flagship products

Customer choice

£30 million

Capacity to Customers 5

Capacity to Customers

Capacity to Customers

Technical innovation

Utilised capacity

Current demand

New commercial contracts

Latent capacity

Combines proven technology and new commercial contracts

Remote control equipment on HV circuit and close the NOP

Innovative demand side response contracts

Releases significant network capacity

Enhanced network management software

Allow us to control customer’s consumption on a circuit at the time of fault

Facilitates connection of new demand and generation without reinforcement

Effectively doubles the available capacity of the circuit

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Capacity to Customers and beyond

When is C2C cost ... or when should effective ...? we reinforce?

Working with University of Manchester to develop economic methodology

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Customer Load Active System Services

CLASS is seeking to demonstrate that electricity demand can be managed by controlling voltage…without any discernible impacts on customers

Reduces demand at time of system peak

Demand reduction

System balancing support

Provides a demand reduction capability to support system balancing

Voltage control

Mitigates excessive voltages when generation is high and demand is low 8

Smart Street

New controllable switching devices stabilise voltage Allows us to lower voltage levels Enables networks and appliances to work in harmony

Low cost  Quick fit  Minimal disruption  Low carbon  Low loss  Invisible to customers  Faster connection of low carbon technologies 9

How, when and where to manage LV voltage

Analysis shows much of LV network can accommodate PV Challenge for PV is voltage

‘Connect and manage’ approach developed to avoid connection delays Investigating customers’ perceptions of voltage and if standards are appropriate 10

Fault Level Active Response (FLARE)

FLARE is the first UK demonstration of an active fault level management solution that avoids traditional network reinforcement

Faster LCT adoption  Less disruption  Lower bills 11

Summary

• Increasingly uncertain and variable capacity requirements • Need to respond more quickly

• Beyond predictable demand growth • Developing solutions to optimise network • Intelligence to understand when to deploy them

Challenge

Strategy

Solutions

Benefits

• Maximising use of existing assets • Offering choice to customers • Leverage learning from other projects and DNOs

• Lower energy bills • More reliable supply • Reinforcement savings

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Want to know more?

e

[email protected] www.enwl.co.uk/thefuture 0800 195 4141

@ElecNW_News linkedin.com/company/electricity-north-west facebook.com/ElectricityNorthWest youtube.com/ElectricityNorthWest e

Thank you for your time and attention 13

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