UHV Transmission Tower Legs Topological Optimization Based On AFSA Algorithm

The imbalance exists between energy demand and resources distribution in China. In order to allocate nationwide resources optimally. At present, our country has stepped into the construction of the ultra-high voltage(UHV) grid. The UHV grid is constructed to try to connect the energy demand centers and huge energy base, and realize to transmit electric power efficiently, massively and remotely. The UHV grid investment is huge, the transmission tower structure as a kind of tall str-uctures, it is also particularly important facilities, the whole project cost special steel quantity is big, about 35% of the total cost of the whole project, thus optimize the tra-nsmission tower structure, reduce the amount of steel. To meet security under the premise of reducing the project cost has the good social benefit and economic benefit.The engineering background is the Hanjiang long-span transmission project. MTALAB programming language is used to construct the space truss model of the UHV transmission tower legs. The size, shape and topological configuration of the transmis s io n tower legs are optimized by using the basic fish-swarm algorithm and improved fishswarm algorithm respectively. It apparently reduces the amount of steel for the transmission tower and improves the efficiency of the optimization algorithm, which has certain practical significance and theory value. The main contents are included as follows.First of all, introduced the basic principle of fish swarm algorithm the basic idea and principle of optimization.And the fundamental flaws of the fish algorithm optimiza t io n are analyzed. Defects in basic fish algorithm in optimization is studied for ways to improve the main parameters(vision and step length) and their foraging activities. The purpose is to make the algorithm more efficient.Secondly, using fish algorithm on several classic discrete variable truss structural optimization design, includ the size, shape and topological configuration. Optimiza t io n numerical example results show that the imp-roved algorithm of fish is fish algorithm in global search precision, convergence speed and stability are improved obviously.W it h other intelligent optimization algorithms for corresponding truss structural optimiza t io n in the process of the optimization of precision, optimization of existing numerica l example results show the improved fish algorithm makes the optimization process more efficient, has great development potential.Thirdly, combine the base structure topology optimization method with the configuration optimization, proposes a topological configuration optimization methed based on improved fish algorithm, the algorithm makes the optimization process is more close to the essence of the topology.The topology optimization method is as follows specifically: By changing the round steel tube outer diameter and thickness of bar element connectivity to achieve size and topology optimization. By adding different structure form rich in optimization of configuration, implementation of different topology structure is optimized, the results are compared to reach the optimal transmission tata leg structure. Practical example results show that the methed has high global optimization ability of the algorithm and optimization precision.