ISAP 99 - DUtrain GmbH
ISAP 99 - DUtrain GmbH
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