access icon free Simplified probabilistic voltage stability evaluation considering variable renewable distributed generation in distribution systems

This study investigates the evaluation of static voltage stability using a two-point estimation method (2PEM) and continuation power flow (CPF) in distribution systems. The stochastic distribution generation (DG) units have been considered with their respective probability density function (PDF). The proposed static voltage stability evaluation method first chooses several sample points to replace the PDFs using 2PEM. Then, based on each sample point, the critical static voltage stability value is calculated by CPF. On the basis of the critical values corresponding to all selected sample points, Cornish–Fisher series are used to evaluate the PDF of the critical static voltage stability, and then the static voltage stability state can be obtained. The proposed method has been tested on IEEE 33-bus, PG&E 69-bus and a real case with two stochastic DG units. Comparisons have been made with the Monte Carlo simulation and the first-order second-moment method. The results show that the proposed method has better efficiency and accuracy.

Inspec keywords: distributed power generation; power system stability; stochastic processes; load flow

Other keywords: probability density function; 2PEM; IEEE 33-bus; PG&E 69-bus; variable renewable distributed generation; simplified probabilistic voltage stability evaluation; Monte Carlo simulation; continuation power flow; first-order second-moment method; stochastic distribution generation; two-point estimation method; CPF; Cornish-Fisher series; DG units; distribution systems; PDF

Subjects: Power system control; Other topics in statistics; Distributed power generation

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2014.0840
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