Preventive Control of Electric Power System State Variables by the Methods of Probabilistic Load Flow
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Abstract
The paper considers a technique for selection of preventive control actions to provide feasibility of electric power system (EPS) state variables, taking into consideration random character of variation in loads. The authors suggest that sensor variables in EPS should be identified and potential ranges of change in their values be estimated from the analysis of their numerical and probabilistic characteristics that are obtained by the analytical methods of probabilistic load flow.
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References
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