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Driving EV Policy & Charging Infrastructure 6 & 7 November 2012 South Africa

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NETWORK READINESS: IMPACT OF PLUG-IN ELECTRIC VEHICLES ON LONG RANGE DEMAND FORECASTS OF DISTRIBUTION NETWORKS

Gustav Brand

Nov 2012

DRIVING EV POLICY & CHARGINGINFRASTRUCTURE INSOUTH AFRICA

Introduction

Plug-in Electric Vehicles

Developing a PEV distribution load forecast

Some results from an eThekwini case study

PEV Market

Market adoption of PEVs

Market Drivers• Operating & maintenance cost• Source to consumption delivery cost• Imported oil dependency• Government incentives• Improvements in power electronics• Air pollution and perceived greenhouse gas reduction

Electricity Supply Market

Potential Constraining factors• Constrained generation & transmission capacity• Escalating energy cost• Constrained distribution capacity• Aging distribution infrastructure

Long range load forecasts – why?

Master plans• Network built today must serve customers

30-50 years into the future.• Matching equipment to supply saturation load allows

for optimum use of capital.

Penalty for getting it wrong• Underestimates result in reliability problems &

additional capital required to replace undersized infrastructure.

• Overestimates result in poor IRR and lead to unnecessary tariff increase to fund build programme.

2 5 15 20

Distribution

Sub-transmission

Transmission

Generation

Ser

vice

Are

a S

ize

Project Lead Time

TimingInfrastructure Planning Horizon

Case Study Objective

• Develop a PEV forecast model

• Utilise existing long range forecast

• Superimpose PEV load contribution on existing forecast

• Assess impact on existing + planned network

PEV Forecast Model – Residential charging

• PEV market penetration - % of population• Vehicle efficiency – kWh/km• Current and future battery charge capacity• Distance travelled – km/day• Charging

• Consumer charging behaviour• Charger & battery efficiencies• Charger PF• Charging tempo

PEV Market Penetration

Source: EPRI

Energy densities for various battery chemistries

Wh/kg

Wh/

lSmaller

Lighter100 200 300 400 500 600

700

800

900

100

200

300

400

500

600

Lead-Acid

Ni-Cd Li-Titanate

Ni-MH

Li-ion

Li-PolymerLi-Metal

Zn/Air

Li-P,Li-ionNew Systems

Emerging Technologies

Established Technologies

LFP

Source: ICCNexergy

Battery Energy Density

0

100

200

300

400

500

60020

10

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

2028

2029

2030

Whr/kg

PEV Utilisation BehaviourInfluenced by battery capacity

Travel distance distribution density 2010

Travel distance distribution density 2030

Home Arrival Times

Uncontrolled Charging

Forecast Results: Uncontrolled Charging

20 Year Load Forecast(total network load)

2029 Load Profile(total network load)

Forecast Results: Time of Use Charging

20 Year Load Forecast(total network load)

2029 Load Profile(total network load)

Impact on Distribution Substations

 

Voltage 

Number of substations

Firm capacity exceeded

EPRI Medium

EPRI High

275kV 8 1 1

132kV 100 7 22

33kV 45 0 0

Total 153 8 23

Impact on MV Network: Uncontrolled Charging

20 Year Load Forecast(total network load)

2029 Load Profile(total network load)

Feeder capacity

Impact on MV Network: ToU Charging

• ToU charging has insignificant effect on total network load

• ToU charging at MV level can be devastating

20 Year Load Forecast(total network load)

Feeder capacity

Controlled Charging

Other things to worry about

• Clustering• Market penetration saturation• Filling stations -> charging stations• Workplace charging• Regeneration

Conclusion (based on this case study)

Total distribution network level• No cause for concern over the next 10 years• ToU charging appears to restrain capacity requirements

at total distribution load level

Substations• PEV impact over 20 years seems negotiable at

substation level• Provided that the utility has a master plan in place (and

executes it)

Point of supply• Load control, smart meters, smart tariffs

Conclusion (based on this case study)

Importance of having a long range master plan (and executing it)

Long range load forecasts•must model PEV scenario(s)•new stakeholders in automotive industry

• Electricity distributors• Eskom EV Care

•new stakeholders in electricity distribution• PEV industry• PEV consumers

Thanks to eThekwini Electricityfor sharing their long range forecastand data in support of this case study.

Eskom EV CareDr Clinton Carter-BrownCorporate SpecialistPower DeliveryEskom TechnologyTel : +27 11 655 2472 cartercg@eskom.co.za

Amal KhatriChief Advisor: Research & OperationsEskomTel +27 11 629 5170KhatriA@eskom.co.za

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