Uhv Transmission Tower Topological Configuration Optimization Based On PSO Algorithm

The imbalance exists between energy demand and resources distribution in China.In order to allocate nationwide resources optimally, China has entered the period of theconstruction of the ultra-high voltage grid. The ultra-high voltage grid is constructed totry to connect the energy demand centers and huge energy base, and realize to transmitelectric power efficiently, massively and remotely. The construction of the ultra-highvoltage grid needs huge investment. As the main facilities in the project, the ultra-highvoltage transmission tower costs35%of the total investment. So it has importantpractical significance and good economic benefit to reduce the project cost in thepremise of safety via optimizing the structure of the transmission tower.The engineering background is the Hanjiang long-span transmission project.MTALAB programming language is used to construct the space truss model of thetransmission tower. The size, shape and topological configuration of the transmissiontower are optimized by using particle swarm optimization algorithm and immuneparticle swarm optimization algorithm respectively. It apparently reduces the amount ofsteel for the transmission tower and improves the efficiency of the optimizationalgorithm, which has certain practical significance and theory value. The main contentsare included as follows.First of all, MATLAB programming language is used to construct thethree-dimensional truss model of the transmission tower and finite element method isemployed to analyze the stress of the transmission tower. And the review results of thefinite element software ANSYS verify the correctness of the established transmissiontower model.Secondly, the methods of optimizing the transmission tower are come up with asfollows. The size optimization of the transmission tower is realized by changing theradius and thickness of the circular steel tube. The shape optimization of thetransmission tower is realized by changing the size of root radius and waist radius,which can adjust the shape of the transmission tower. The transmission tower issectioned and the topological configurations of each section are listed. The topologicalconfiguration optimization of the transmission tower is realized by selecting differenttopological configurations which can ensure the structure stability and accord with theengineering practice. Thirdly, the results of size and shape optimization of the transmission towerbetween particle swarm optimization algorithm and genetic algorithm are compared andanalyzed, which show that particle swarm optimization algorithm has betterconvergence performance and optimization effect. The optimization results betweendifferent values of the parameters of particle swarm optimization are compared and itshows that the convergence performance and optimization effect of particle swarmoptimization have certain dependence on the value of the parameters. So according to aspecific optimization model, it is important to choose appropriate values for theparameters in the structure optimization. The results of topological configurationoptimization and size and shape optimization, which use particle swarm optimizationalgorithm, of the transmission tower are compared and analyzed, which show that it cangreatly reduce the structure weight if considering the change of its topologicalconfiguration in the optimization of the transmission tower.Embedding the concentration selection mechanism and crossover and mutationoperator into particle swarm optimization algorithm, immune particle swarmoptimization algorithm is formed. The results of topological configuration optimizationof the transmission tower between particle swarm optimization algorithm and immuneparticle swarm optimization algorithm are compared and analyzed, which show that theimmune particle swarm optimization algorithm can effectively improve the globalsearch ability of the algorithm which makes the optimization precision higher.