Hybrid System Modeling and Operation Schedule Optimization for Gas Transportation Network Based on Combined Method of DE, GA and Hybrid Petri Net
We present an integrated Differential Evolution (DE) Genetic Algorithm (GA) and Hybrid Petri net (HPN) based approach for scheduling of a hybrid dynamical transport network operation. The main advantage of the proposed approach is a reduction of complexity in the optimization problem formulation for a system with non linear constraints and hybrid discrete continuous parameters and the impact of discontinuities of the search space ensued by autonomous switching of the network components. In particular the scheduling problem for a natural gas compressor station with parallel pumps is addressed in the case study.
2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI AAI)