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Reactive Power Management: Comparison of Expert-based and Optimization-based Approaches for Dispatcher Training
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  • Abhimanyu Kaushal,
  • Artur Mirowski,
  • Mateusz Skwarski,
  • Jacek Wasilewski,
  • Hakan Ergun,
  • Dirk Van Hertem
Abhimanyu Kaushal
KU Leuven Science Engineering and Technology Group

Corresponding Author:[email protected]

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Artur Mirowski
Orsted Polska Of Services
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Mateusz Skwarski
PSE Innowacje
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Jacek Wasilewski
PSE SA Warsaw
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Hakan Ergun
KU Leuven
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Dirk Van Hertem
KU Leuven
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Reactive power management (RPM) in electric power systems is usually based on a rule-based control derived from the transmission system operator’s experience. This approach faces challenges as the number of decisions and the complexity of the system operation is increasing. With the increasing generation from renewables and the evolution of electricity markets, the available resources must be optimally utilized. In this paper, a comparison is made between the optimization-based approach (OBA) and the experience-based expert approach (EBA) for RPM. The OBA is based on security-constrained optimization with minimum redispatch cost as the objective function for different contingencies. In contrast, the EBA’s actions are based on the system operator’s experience. Comparison is made in terms of the generator redispatch cost, active and reactive power redispatch volume, nodal voltages, and the number of actions to ensure secure operation. The analysis using a reduced model of the target system shows that OBA is more beneficial than EBA, with up to 22% and 42% reduction in redispatch cost and volume, respectively. Moreover, the control decisions from both approaches are seen to be similar. This study aims to show the usefulness of the OBA and motivate TSOs to move towards optimization-based reactive power management
28 Apr 2023Submitted to IET Generation, Transmission & Distribution
02 May 2023Submission Checks Completed
02 May 2023Assigned to Editor
08 May 2023Reviewer(s) Assigned
15 May 2023Review(s) Completed, Editorial Evaluation Pending
26 May 2023Editorial Decision: Revise Major
22 Jun 20231st Revision Received
23 Jun 2023Submission Checks Completed
23 Jun 2023Assigned to Editor
03 Jul 2023Reviewer(s) Assigned
11 Jul 2023Review(s) Completed, Editorial Evaluation Pending
18 Jul 2023Editorial Decision: Accept