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1 A Case Study of Extensive Automation in London Cliff Walton & Bob Jackson.

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Presentation on theme: "1 A Case Study of Extensive Automation in London Cliff Walton & Bob Jackson."— Presentation transcript:

1 1 A Case Study of Extensive Automation in London Cliff Walton & Bob Jackson

2 2 Key issues Improving network performance –Regulatory targets and incentives –Customer satisfaction (2.2m) Maximising impact of investment Time, Cost and Difficulty of asset replacement work in London

3 3 Remote Control Major scheme commissioned in 1998 5000 substations Cired Case Study 2001

4 4 Remote Control Performance 28% improvement in CML CI Improvement Required!

5 5 Reducing CI by Simple Automation Requirements: –Simple scheme –Fast to implement on large scale –Low cost - software changes only –Building on existing Remote Control scheme –860 MV feeders –1.8 million of 2.2m customers

6 0-200 MVA per km 2 400,000 Customers not covered by Simple Automation

7 SEQUENCE CONTROL TYPICALLY 2/3 RESTORED IN <3 Minutes 3-4 S/S AWAIT MANUAL RESTORATION

8 8 Feeder Program Wizard 3 generic models Truth tables Applied to 860 feeders 2 Phase implementation No source CB control Source CB control

9 9 System Performance 1.8 million customers covered Typically –30% of customers restored in <3 minutes –70% restored in <30 minutes Over 250 faults handled to date

10 10 CI Progress 28% Remote Control

11 11 CML Progress 50% Remote Control

12 12 Lessons Benefits of Simplicity & Standardisation Critical importance of reliable communications 15% of system running abnormal at any time Abnormal running networks have higher than average fault rates?

13 13 Next Steps Extended to 1200 feeders in EPN More restoration stages? Dynamic reconfiguration? Integration with Incipient fault detection & location systems to isolate faults BEFORE they occur?

14 14 Summary Focus on fast deliverable CI results Simple, standardised approach Major benefits delivered to date - 28% in MV CI Next phase of an ongoing programme to deliver deliver cost and performance improvements though Real Time Risk Management for MV Networks

15 15


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