Transmission network planning (TNP) is a large-scale, complex, with more non-linear discrete variables and the multi-objective constrained optimization problem. In the optimization process, the line investment, networ...Transmission network planning (TNP) is a large-scale, complex, with more non-linear discrete variables and the multi-objective constrained optimization problem. In the optimization process, the line investment, network reliability and the network loss are the main objective of transmission network planning. Combined with set pair analysis (SPA), particle swarm optimization (PSO), neural network (NN), a hybrid particle swarm optimization model was established with neural network and set pair analysis for transmission network planning (HPNS). Firstly, the contact degree of set pair analysis was introduced, the traditional goal set was converted into the collection of the three indicators including the identity degree, difference agree and contrary degree. On this bases, using shi(H), the three objective optimization problem was converted into single objective optimization problem. Secondly, using the fast and efficient search capabilities of PSO, the transmission network planning model based on set pair analysis was optimized. In the process of optimization, by improving the BP neural network constantly training so that the value of the fitness function of PSO becomes smaller in order to obtain the optimization program fitting the three objectives better. Finally, compared HPNS with PSO algorithm and the classic genetic algorithm, HPNS increased about 23% efficiency than THA, raised about 3.7% than PSO and improved about 2.96% than GA.展开更多
The connection number a+bi is a new kind of number in the Set Pair Analysis (SPA) theory. This paper applies it to network planning technique and considers the expressing, processing and controlling methods of the...The connection number a+bi is a new kind of number in the Set Pair Analysis (SPA) theory. This paper applies it to network planning technique and considers the expressing, processing and controlling methods of the synthetically uncertainties of the time limit caused by Fuzzy, random and indeterminate known factors by the connection number for a large\|scale project. The results illustrate that the new network planning and controlling method based on the connection number a+bi can provide more useful information such as primary critical paths, secondary critical paths and third critical paths etc. The new method is mroe flexible than the traditional method, and is more suitable to the practical application of project.展开更多
基金Projects(70373017 70572090) supported by the National Natural Science Foundation of China
文摘Transmission network planning (TNP) is a large-scale, complex, with more non-linear discrete variables and the multi-objective constrained optimization problem. In the optimization process, the line investment, network reliability and the network loss are the main objective of transmission network planning. Combined with set pair analysis (SPA), particle swarm optimization (PSO), neural network (NN), a hybrid particle swarm optimization model was established with neural network and set pair analysis for transmission network planning (HPNS). Firstly, the contact degree of set pair analysis was introduced, the traditional goal set was converted into the collection of the three indicators including the identity degree, difference agree and contrary degree. On this bases, using shi(H), the three objective optimization problem was converted into single objective optimization problem. Secondly, using the fast and efficient search capabilities of PSO, the transmission network planning model based on set pair analysis was optimized. In the process of optimization, by improving the BP neural network constantly training so that the value of the fitness function of PSO becomes smaller in order to obtain the optimization program fitting the three objectives better. Finally, compared HPNS with PSO algorithm and the classic genetic algorithm, HPNS increased about 23% efficiency than THA, raised about 3.7% than PSO and improved about 2.96% than GA.
文摘The connection number a+bi is a new kind of number in the Set Pair Analysis (SPA) theory. This paper applies it to network planning technique and considers the expressing, processing and controlling methods of the synthetically uncertainties of the time limit caused by Fuzzy, random and indeterminate known factors by the connection number for a large\|scale project. The results illustrate that the new network planning and controlling method based on the connection number a+bi can provide more useful information such as primary critical paths, secondary critical paths and third critical paths etc. The new method is mroe flexible than the traditional method, and is more suitable to the practical application of project.
