Transmission Network Intelligent Expansion Planning Based On Improved Immune Genetic Algorithm And GIS

Transmission network planning is an important part of network planning and is an important work of guaranteeing the structure of grid to be reasonable and the power system to develop stability. It is a non-linear mixed integer optimization problem with multi-objectives and multi-constraints.In this paper, the mathematical model of transmission network planning is established, which takes the the "N-1" security criteria into account. For the increased amount of the analysis calculation of breaking the lines, fault ordering method is introduced to improve the computational efficiency. To overcome the defect of the genetic algorithm that the algorithm is easy to fall into local optimum and converge prematurely, and to improve the performance of convergence, the immune mechanism is introduced, so that we propose three strategies including regulating immune concentration, immune memory and immune vaccination to obtain an improved immune genetic algorithm (IIGA).The geographic information system (GIS) is introduced into the transmission network planning, and considering IIGA, the methods of antibodies initialized with GIS and "the mode of two-lines supplying power"Vaccines with GIS are designed. The transmission network expansion planning based on IIGA and GIS is realized. Finally, a standard numerical example is used to prove the effectiveness and superiority of the application of IIGA in transmission network planning. The program submitted of the project backing this project:Hebei south500kV transmission network vision planning is used to verify that the combination of IIGA and GIS applied to the actual transmission network planning is feasible and effective.