Optimal Planning of Substation Locating and Sizing Based on Improved QPSO Algorithm
Bai Xiao, Tao Qin, Dan Feng, Gang Mu, Li Ping, Guang-Ming Xiao · 2009
A hybrid model for substation locating and sizing is presented in this paper to work out the number of newly-built substations and capacity-expansion, load assignment and optimal size of substation. Geographic information system is used as a platform to manage a great deal of data in this method, in which the optimum assembly model of the substation capacity and the number of substations be the first layer model, then the second layer model of load assignment is constructed by load constructing vector, and then improves traditional single location model as the third layer model of substation locating and sizing. Based on economy and reliability constraints, three- layer model is nested to each other, finally the improved quantum-behaved particle swarm optimization (IQPSO) algorithm is used as a new algorithm to solve hybrid model. The IQPSO algorithm is tested by a realistic planning project to verify the effectiveness and feasibility.