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Monte Carlo simulation method combined with simple random sampling (SRS) suffers from long computation time and heavy computer storage requirement when used in probabilistic load flow (PLF) evaluation and other power system probabilistic analyses. This paper proposes the use of an efficient sampling method, Latin hypercube sampling (LHS) combined with Cholesky decomposition method (LHS-CD), into Monte...
Small disturbance voltage stability is analyzed on the P-V curve with the exponential recovery dynamic loads. The effect of dynamic load parameters on the analysis result is investigated using probabilistic egienvalues under the assumption that the load parameters are normally distributed. The analysis is tested on a three-machine and nine-bus system. The result shows that the probabilistic analysis...
Differential evolution (DE) is a new branch of evolutionary algorithms (EAs) and has been successfully applied to solve the optimal reactive power flow (ORPF) problems in power systems. Although DE can avoid premature convergence, large population is needed and the application of DE is limited in large-scale power systems. Grid computing, as a prevalent paradigm for resource-intensive scientific application,...
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