摘要
建立了船舶综合电力系统故障恢复多目标模型,该模型在应用直线型隶属度函数对故障恢复评价分项指标进行归一化的基础上,采用加权积算子构建综合目标函数,并基于层次分析法求解各指标权重,相对传统的经验方法更加便于决策者理解和把握。将该模型应用于基于二维编码的改进遗传模拟退火故障恢复算法以验证其有效性。算例测试结果表明,该模型指导下的故障恢复算法能够兼顾多个指标,有效地避免偏激解的产生,并能够灵活调节推进负荷恢复功率,得出的最优故障恢复方案更加符合实际。
A multiobjective optimal service restoration model for integrated ship power system is proposed. The evaluating indicators of service restoration are normalized based on linear pattern membership functions, and integrated into a single objective function by using a weighted product functional operator. An analytic hierarchy process is adopted to solve the weight of each index which is more convenient to be apprehended and operated by decision-maker. To test the multiobjective optimal model, it is applied to an improved simulated annealing genetic algorithm based on two-dimension encoding method for service restoration of integrated power system. The test results on a typical integrated power system show that the model can balance each objective to avoid extreme results, and achieve the restoration power regulation of large loads, which make restoration schemes more practical.
出处
《电工技术学报》
EI
CSCD
北大核心
2010年第3期130-137,共8页
Transactions of China Electrotechnical Society
基金
国家自然科学基金委员会创新研究群体科学基金(50721063)资助项目
关键词
综合电力系统
故障恢复
层次分析法
遗传算法
模拟退火算法
Integrated ship power system
service restoration
analytic hierarchy process
genetic algorithm
simulated annealing algorithm
