Simultaneous Optimization of Start Up Scheme and Pipe Network for Multi-source Water Injection System Based on Improved Genetic Particle Swarm Optimization Algorithm

In order to improve the system operating efficiency furthest, the simultaneous optimization of pump start up scheme and pipe network is necessary. Aiming at the multi-source and looped water injection system, the mathematical model for simultaneous optimization is established, in which the operating energy consumption and investment are served as objective function, the start-up and stop status, flow rate of pump, and the connection status, diameter of pipeline are taken as design variables. Aiming at the features of the simultaneous optimization problem, a dual generalized chromosome coding was proposed, the binary coding, real number coding, and integer coding are combined together. In order to improve the local searching ability, the particle swarm optimization algorithm is combined with the genetic algorithm. The method of initial solutions creating and many crossover and mutation methods that adapted to the optimize problem are designed. The example shows that the algorithm is efficient.