Typhoon Vulnerability Assessment of Substation Based on Improved Lion Swarm Algorithm and Fuzzy Evaluation

To solve the problem of severe damage and easy failure of substations in coastal areas caused by typhoon disasters, a substation typhoon vulnerability assessment method based on improved lion swarm algorithm and fuzzy evaluation was proposed. Firstly, based on the danger of disaster causing factors, the sensitivity of disaster pregnant environment and the vulnerability of disaster bearing body a vulnerability assessment system was established. Secondly, a combined cloud model was led into the traditional fuzzy comprehensive evaluation method to construct a fuzzy comprehensive evaluation membership function, and based on the improved lion swarm algorithm (abbr. LSA) the clustering center was optimized to obtain the threshold partition rules of membership function. Thirdly, based on the subjective and objective combination weights, the disaster risk index was calculated by weight and the improved fuzzy comprehensive evaluation method, and based on the historical data the disaster risk probability was calculated. The vulnerability assessment results of substation typhoon disaster were obtained from the disaster risk probability and risk index. Finally, according to the evaluation results different targeted measures were adopted. Results of computing example show that using the proposed assessment method of substation typhoon vulnerability the assessment accuracy is improved and the effect of disaster prevention and reduction is achieved.