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ISAP 99 - DUtrain GmbH

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which are suggested to the operator step by step)<br />

is:<br />

• isolating and grounding of defective 110 kV<br />

cable OST-SUED2; due to the non-functioning<br />

busselector in bay OST the busbar<br />

sectionalizer in SUED2 must be opened;<br />

• re-energization of left part of busbar in SUED2<br />

from SUED1, partial recovery of 10 kV loads;<br />

• recognition that the second transformer in<br />

SUED2 cannot be fed from 110 kV, therefore<br />

similar proceeding on 10 kV level as described<br />

in scenario 3.<br />

The given examples prove that the generic<br />

restoration system is able to interactively provide<br />

meaningful restoration suggestions for various<br />

disturbance scenarios (each relying on the actual<br />

system status), and if needed extending its<br />

operations to all levels of the system which are<br />

controlled from the actual control center or<br />

represented on the simulator respectively. Current<br />

work is to also verify the restoration system with<br />

other power systems (e.g., the complete Dutch<br />

400/230/150/110 kV transmission system).<br />

4. CLOSED LOOP OPERATION<br />

In case of operating remotely controlled<br />

switchgear as well as setpoint assignment to<br />

units, the restoration system can arbitrarily be set<br />

into the autonomous operational mode as<br />

described in [11] and [9]. The result is that the<br />

number of necessary operator’s interventions is<br />

drastically reduced, thus considerably speeding up<br />

the process of restoration. Currently also an<br />

intelligent automated selection of loads to be<br />

reconnected, of units to be involved and of<br />

topological connections to be preferred is under<br />

development, leading to another significant step<br />

towards closed loop system operation. Even if the<br />

practical involvement of such grade of automatism<br />

is still under critical discussion [12], the simulator<br />

integration enables operators to smoothly become<br />

acquainted with their functionality and developers<br />

to test them in multifarious manner.<br />

5. CONCLUSION<br />

Restoration is one of the most demanding tasks in<br />

power system operation. Due to rare occurrence,<br />

lack of operators’ experience, time pressure and<br />

stress, the involvement of technical systems for<br />

either on line support or preventive training is<br />

desired; but few approaches being practically<br />

employed so far are mainly individual power<br />

system specific solutions. The generic restoration<br />

guidance system reported here overcomes this<br />

drawback, taking over the characteristics of an<br />

EMS application function. Combination with an<br />

operators’ training simulator ensures that the<br />

restoration performance can be verified in much<br />

detail under various conditions - for which several<br />

examples were reported -, and furthermore proves<br />

as a powerful instrument for guided operators<br />

training in disturbance clearing. Finally, the<br />

potential of closed loop operation of such systems<br />

can critically be estimated.<br />

REFERENCES<br />

[1] Proceedings of ESAP I - IV and <strong>ISAP</strong> 1<strong>99</strong>4, 1<strong>99</strong>6, 1<strong>99</strong>7<br />

[2] The Use of Expert Systems for Power System Restoration;<br />

CIGRE Task Force 38.06.04, CIGRE-Brochure No. 90, 1<strong>99</strong>4<br />

[3] Spanel,U.; Krost,G.: System Restoration Guidance as<br />

Intelligent Application Function in Power System Control;<br />

submitted for <strong>ISAP</strong> 1<strong>99</strong>9, Rio de Janeiro (Brazil)<br />

[4] Spanel,U.; Krost,G.: Operator Training System - A Flexible<br />

Approach; 12 th CEPSI, Pattaya (Thailand), 1<strong>99</strong>8<br />

[5] Rumpel,D.; Zaluk,R.; Post,U.: Concept of an On-line Data<br />

Base supporting Grid Data Language, PSCC Lissabon<br />

(Portugal), 1987, p. 345-351<br />

[6] Rumpel,D.; Kempinski,W.; Litzinger,A.: Transparent Data and<br />

Automatic User-Interface Design for Power-System Control<br />

and Simulation, Proc. of the 31 st UPEC 1<strong>99</strong>6, Iraklio<br />

(Greece), Vol.2, pp. 372-375<br />

[7] Dickers,K.; Rumpel,D.: Modelling for Grid Restoration<br />

Studies, Electr. Power & Energy Systems, Vol.9, No.1, 1987,<br />

p. 45-55<br />

[8] König,S.; Mohr,L.; Krost,G.; Rumpel,D.; Spanel,U.: An Expert<br />

System in Training Power System Restoration at the<br />

Stadtwerke Duisburg AG; Intelligent Systems Application to<br />

Power Systems (<strong>ISAP</strong>’94), Proc. Vol.2, Montpellier (France)<br />

[9] Krost,G.; Spanel,U.: Heuristic Power Setpoint Assignment for<br />

Restoration; Intelligent Systems Application to Power<br />

Systems (<strong>ISAP</strong>’97), Seoul (Korea)<br />

[10]Ju,K.; Krost,G.; Rumpel,D.: Expert System for Interlocking<br />

and Sequence Switching; Intelligent Systems Application to<br />

Power Systems (<strong>ISAP</strong>'96), Orlando (Florida)<br />

[11]Krost,G.; Spanel,U.; Müller,Ch.: Self-acting Expert Systems<br />

in Electric Energy System Operation; Intelligent Systems<br />

Application to Power Systems (<strong>ISAP</strong>’96), Orlando (Florida)<br />

[12] Panel Discussion on „Power Systems Control and Closed<br />

Loop Action“; <strong>ISAP</strong>’96, Orlando (USA), 30.01.1<strong>99</strong>6

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