The optimiz at ion operation of gas pipeline network is investigated in this paper. Based on th e theories of system optimization and the multi object decision, a mathematical model about the multi object optimization...The optimiz at ion operation of gas pipeline network is investigated in this paper. Based on th e theories of system optimization and the multi object decision, a mathematical model about the multi object optimization operation of gas pipeline network is established, in line with the demand of urban gas pipeline network operation. A t the same time, an effective solution of the mathematical model is presented. A calculating software about optimization operation is compiled, coupling the actual operation of gas pipeline network. It can be applied to the operation of the gas pipeline network. The software was examined by real examples. The resul ts indicated that 2.13% energy consumption and 3.12% gas supply cost can be reduced through optimization operation.展开更多
The aim of this research is to study the optimal demand decision for the Taiwan Residents industries through CSO （cat swarm optimization） algorithm. The five formulations of optimal demand are developed to solve opt...The aim of this research is to study the optimal demand decision for the Taiwan Residents industries through CSO （cat swarm optimization） algorithm. The five formulations of optimal demand are developed to solve optimal contract capacity for TOU （time of use） customer. Results indicated that, the CSO algorithm is highly helpful to Taiwan Residents industries on the optimal demand decision. Also the CSO is superior to PSO （particle swarm optimization） in the fast convergence and better performance to find the global best solution in the same iterations.展开更多
文摘The optimiz at ion operation of gas pipeline network is investigated in this paper. Based on th e theories of system optimization and the multi object decision, a mathematical model about the multi object optimization operation of gas pipeline network is established, in line with the demand of urban gas pipeline network operation. A t the same time, an effective solution of the mathematical model is presented. A calculating software about optimization operation is compiled, coupling the actual operation of gas pipeline network. It can be applied to the operation of the gas pipeline network. The software was examined by real examples. The resul ts indicated that 2.13% energy consumption and 3.12% gas supply cost can be reduced through optimization operation.
文摘The aim of this research is to study the optimal demand decision for the Taiwan Residents industries through CSO （cat swarm optimization） algorithm. The five formulations of optimal demand are developed to solve optimal contract capacity for TOU （time of use） customer. Results indicated that, the CSO algorithm is highly helpful to Taiwan Residents industries on the optimal demand decision. Also the CSO is superior to PSO （particle swarm optimization） in the fast convergence and better performance to find the global best solution in the same iterations.
