This paper presents a method, using data mining techniques, to find dynamic power transfer limits and sensitivity of the limits due to element variations for the Hydro-Quebec power system based on topology information. The paper illustrates a systematic way to automatically generate a tremendous amount of cases to represent a wide range of parameter variations and compute their corresponding transfer limits based on time-domain dynamic simulations. These transfer limits are used to determine the transfer limit sensitivity for each parameter. Data mining techniques are used to build regression trees on this huge database, generated by the supercomputer at IREQ (the Hydro-Quebec Research institute), to find the relationship between either the transfer limits or the Δlimits and parameter variations. The benefit of this method is its ability to determine limits and/or Δlimits without requiring time-domain simulations in future studies. Rapid access to these limits and the sensitivities of the status of specific elements can potentially be foreseen to aid planning engineers in the planning and execution steps of limit calculations.
This paper describes the on‐going work done by Hydro‐Québec to optimize the settings of automatic devices installed in its main power plants to maintain secure operation under extreme contingencies. The automatic generator tripping and load shedding system (RPTC) described in this paper is installed at the Churchill Falls hydroelectric power plant (5,500 MW) in Labrador. Data mining techniques such as decision trees and regression trees have been used. Real time snapshots of the Hydro‐Québec power system collected over a 5 year period have been used to generate large amounts of results by transient stability simulations. The processing of these data has been done using software developed by the University of Liege. This approach gives the most relevant parameters and finds optimal settings for the RPTC system, minimizing the number of tripped generator units while maintaining the same performance in terms of security coverage. New operation rules can thus be established.
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