The Application Of Genetic Algorithm In The Expansive Planning Of Transmission Network

In recent years, with the sustainable growth of electrical power demand at home and abroad, patronage of environment problems all around the word and the customer’s higher requirement of quality and reliability of electrical power, the optimization planning of the transmission network is more concentrated. Finding an effective optimization planning method becomes the focus of people’s research.GA algorithm is a new kind of evolution algorithm. it through the crossover and mutation of a set of random population could get the next generation.It follows the principle of survival of the fitness, till get the result.GA algorithm has expansive adaptability. On the basis of load forecasting, this article use genetic algorithm to analyze the planning for transmission network.The Mathematical model of this planning choose the DC power flow model.It considers the line power flow equation and maximum permissible load restriction line, N-1overload constraint. This model also considers economy and safety of power network. We plan the220KV network of Zhejiang Hu Zhou district in2015with this method.Considering the fact development of district power network., we do the N-1safety inspection of the network line, the results of the planning improve the weak power grid structure. After the planning, the main net structure of Hu Zhou district is attached with more power supply and stronger than before obviously. It does important effect on the improving of the reliability of HuZhou electrical power network, balancing the structure of power supply, satisfying the N-1safety inspection, easing the tight situation of the electrical power supply. The simulation results show that the used GA is reliable and effective for solving the transmission network expansion planning problems.