2025年基于自动驾驶的未来交通与新型电力系统协同报告.docx

基于自动驾驶的未来交通与新型电力系统协同PowerandTransportSynergyDrivenbyAutonomousElectricVehicles

HongcaiZhang

AssistantProfessor

StateKeyLabofInternetofThingsforSmartCity

uM澳大UniversityofMacauOct

uM澳大

2

Content

Backgroundmotivation

Backgroundmotivation

autonomous

autonomousEVfleet

RoutingpricingofautonomousEVstopromote

renewablegenerationintegration

AutonomousEVsasmobilestoragesystemsto

enhancepowersystemresilience

Summary

Summary

EVsaredominatingfuturetransportationsystems

·EVstockhashit21Mandsalessharehasrisento30%inChinabytheendof2023(over40%in2024)

Transportationnetwork

*Datasource:IEA,GlobalEVOutlook2023,2024.3

growingEVchargingImpactofload-a

growing

EV

charging

Impactof

·EVchargingloadatmidnighthasreached450MW,witharapidincreaserateof

75MW/min,significantlyhigherthanotherpeakperiods

·By2025,chargingloadcouldriseto800-1,000MW,furtherstressingthegridand

compromisingsystemstability

TimeofDay(15-minuteintervals)

AveragedailyEVchargingloadprofilesperstationinHainanHainanchargingloadheatmap4

EVsasmobileenergystorageforpowersystem

ofworkingasmobileenergy

ofworkingasmobileenergystoragetointeractwith

powersystem

Small

Medium-

Private(50-100kWh)

Truck(130-180kWh)

Taxi(50-100kWh)

Bus(120-300kWh)

One

Onemonths

electricityconsumption

foraresident

Twoweeks

electricityconsumption

forafamily

≈

≈

Oneweeks

≈electricity

≈electricityconsumption

forasix-storyapartment

DumperTruck(≥300kWh)Emergency(≥300kWh)5

Eraofautonomouselectricvehicles

·Globalauton