Research Of Transmission Network Expansion Planning Based On Improved Quantum Genetic Algorithm

Electric power is an important motive force to promote the development of thesociety. With the development of the society, the expansion and construction of thepower grid has become an important work. The transmission expansion planning need toconsider a lot of constraints, to make a lot of calculations, to make a lot of decisions. Toslect a high quality calculation method of the power grid planning holds positivemeaning to a rational expansion planning select, it is a importan work.This paper analyses and discusses the the basic principles and common methods ofthe grid planning. This paper illustrates the different characteristics of the grid expansionplanning methods, analysis is made to illustrate the commonly used mathematical modeland calculation method. In view of the traditional quantum genetic algorithm in the gridplanning aspects, improvement is made to improve the disadvantages of the calculation.By changing the quantum revolving door Settings, crossover and mutation to improve thecomputing performance of quantum genetic algorithm.At last DC power flow model is applied in this paper, with power grid expandinginvestment mimimum as the objective function the calculation model is established. Thetraditional quantum genetic algorithm and improved quantum genetic algorithmapplication program are writen to calculate the IEEE6and a18nodes power system. Bycomparing the two examples’ algorithm performance before and after improvement,proved that the improved quantum genetic algorithm for power grid expanding planningproblem has faster speed and more stable convergence characteristics.