为兼顾充电站运营商的经济效益与配电网的安全性,建立充电站内电动公交车参与车联网(vehicle to grid,V2G)的多目标优化调度模型。所建模型不仅考虑了电动公交车的出行需求,还考虑了充电站内车-桩的连接状态。由于模型的优化目标间相关性小,故采用模糊隶属度函数对其进行模糊化处理,并基于最大最小理论将多目标优化问题转化为以最大化满意度为目标的单目标优化问题进行求解。仿真结果在无序充电和参与V2G两种模式下对单目标策略和多目标策略进行比较分析,验证了文章所述电动公交车参与V2G的多目标优化调度模型的经济性和有效性。
A method of optimizing the fault management system in power plants based on DD-RCM （resultchain based modeling for digital developing） and TPN （temporal Petri net） is proposed. First, the model of the fault management system was set using DD-RCM. Then, it was transformed to the temporal Petri net model by corresponding rules. Secondly, relationships among all the activities, such as choice, conflict, synchronization and concurrency, were confirmed according to the Petri net model and described employing the reengineering algorithm of incidence matrix. Thirdly, the Petri net model was reduced by combining reduction rules and conflict, synchronization relationships to optimize the fault management system in power plants. Finally, the functionality of the reduced net was proved by the temporal logic of the temporal Petri net.
