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Probabilistic Voltage Stability Assessment Considering Stochastic Load Growth Direction and Renewable Energy Generation

A probabilistic voltage stability assessment based on Latin Hypercube Sampling is proposed to evaluate the influence of stochastic load growth direction and renewable energy generation. The K-means clustering algorithm is adopted to classify load types according to historical load data. The expectation of stochastic load growth is valued based on the load classification and load forecasting results. According to the probability density functions of load growth direction and renewable energy generation, samples are generated by Latin Hypercube Sampling. The continuation power flow is employed to compute load margin for each sample. The numerical results in IEEE 118-bus system and China Southern Power Grid system show that the proposed method is effective and practical.