September, 2009

KEPCO’s Smart Grid forReliability and Efficiency

Moon Duk, Kim

Key Factors for Reliability & Efficiencyl

Evolution of KEPCO’s Gridll

The Roadmap of Korea’s Smart Gridlll

1. Key Factors for Reliability

3

Reliability

Automation

(DAS, SCADA, EMS)

MaintenanceTechniques

(Hot-line operations)

Power QualityImprovement(SVC, STATCOM)

Protection System

(Fast and selectivedetection of faults)

Fault Prevention

(High –tech diagnosis devices)

Efficiency

2. Key Factors for Operational Efficiency

Peak Reduction

(DSM)

The Simplification ofVoltage Class

Energy TransmissionEfficiency

(UHV, HVDC,FACTs)

Automation

(S/A, DAS, EMS)

4

Evolution of KEPCO’s Gridll

1. KEPCO’s Grid Facility

Class Transformer(MVA) Line(C-km)

765kV 23,114 755

345kV 98,884 8,310

154kV 114,808 20,298

22.9kV 96,868 200,165

Total 333,674 229,528

Gen. Capacity : 73,372MW

: 63,212MW (’09. 8)Annual Peak

< ’08. 12 >

2. System Average Interruption Duration Index

0

50

100

150

200

250

300

350

1990 1995 2000 2005

SAIDI(min/customer/Yr.)

Hot-line Maintenance

DAS

NDIS(DistributionData Base)

Bypass Cabling

year

Min.

200,000

100,000

C-km(D/L)

300,000

T&D Manpower 6,000 (’92) 6,400 (’97) 6,600 (’02) 8,100 (’07)

3. Substation Fault – Bulk Grid Reliability

0.000

0.020

0.040

0.060

0.080

0.100

1992 1996 2000 2004 2008

S/S Automation, SCADA

Substation faults

Digital protection Ry.

Built-in diagnosis system

Faults/100MVA

year

Doble Test

TGIS(T/L)

240,000

60,000

MVA(above 154kV)

120,000

180,000

T&D Manpower6,400 (’97) 6,600 (’02) 8,100 (’07)6,000 (’92)

TGIS(S/S)

4. Annual Load Factor(%) – Demand Response

60

64

68

72

76

80

75 80 85 90 95 00 05

(%)

TOU (’78)Mid-nightTariff (’85)

Incentive for Peak Reduction (’85)

Remote-Controlled Air-Con. (’99)

DLC (’01)

Cooling Load,10GW (’04)

~ ’79 : Peak in Winter’80 ~ : Peak in Summer

Winter Peak (’93)

AMR Deployment (’99)

The Roadmap of Korea’s Smart Gridlll

1. The Goals & Strategies of SG

11

ICT Infrastructure Standardization

Smart Grid

New Service(DR, RTP)

Customer empowerment

WAMAC, Self-healing

Substation Automation

Smart DAS

Supply Optimization Efficient Utilization

Grid Intelligence Green Service

12

Optimal Investments

Renewables, EV

High Efficiency

High Power Quality

2. Vision of Smart Grid Technology

Core Technologies Level

S / A, Smart DAS T&D Loss 4%SAIDI 16.2min

WAMAC Low

Renewables(Solar, Wind Power) Low

Intelligent Grid Operation

3. Main Issues for Smart Grid

Issues

Wind power output Solar power output

13

Core Technologies Present Focuses in S/G

AMI140K(out of 18M)Large Customers

(Consumes 70% of electricity)

Metering Data Management, Consumption Consulting System

DR, RTP High Annual L/F 75～77%Peak reduction 5900MW Cost-effective DR Potential

Green Service

4. Main Issues for Smart Grid

Issues

14

AMI installation for consumers using below 300kWh/month (10 million consumers), B/C Ratio 0.62

Economicfeasibility

Sm

art Grid

Managem

ent

Green S

ervice

ICT

Wide area Real-time Monitoring System

Wide area Protection and Restoration System

Wide-area Real-time Monitoring & Control

Operation of digital substation, Smart IED

Self-restoration Smart Operating System for Digital S/S

Smart distribution system,Eco-friendly Equipments Fault Anticipation Integrated Smart

Distribution Operation

ICT for Smart Grid,Comm. Security

Intelligent Comm. platform

Comm. Platform/ Security for Smart Grid

Setup of PHEV Infra. Operation of PHEV Infra

Grid Management using PHEV infra

AMI/AMR, DR System Smart DR operation

Field Test of Power IT

Smart GreenCity

EXPANSION OF SMART GRID, DG & LAST MILE INTELLIGENCE

Intelligent Grid

Setup of two way customer infrastructure New Services

Operating Platform for DER

Short-term (<3yrs) Mid-term (3~10Yrs) Long-term(>10Yrs)

2010 2015 2020 2030

Time Span

Field TestApplication

Green Service

Technology

Intelligent Grid

ManagementTechnology

ICT Infra.

16

Technology Road Map for Smart Grid

Pilot Project in Jeju

Pilot Project in Jeju