Optimal Power Flow Of Distribution Network With Distributed Generation Based On Bacterial Colonies Optimization Algorithm

With the increasing depletion of fossil fuels and the corresponding environmental problems, all the world are sparing no effort to use renewable energy and to develop distributed generation technologies. Distributed generation not only has unparalleled advantages of traditional power generation technologies in energy efficiency and environmental protection, but also can improve the power system stability and can also participate reactive power optimization with large grid, improve power quality. However, a large number of distributed power is accessed to the grid will change the node voltage and the line losses of the original system etc. This paper analysis reactive power optimization and locating and sizing of distributed generator in distribution system, and introduce a new type of intelligent optimization algorithm bacterial colony optimization algorithm to solve its relevant problems.Reactive power optimization of distribution network is an important factor in ensuring systematic economic operation, this paper analysis classification of distributed power, based on this, establish mathematical model of reactive power optimization with distributed power distribution network, and introduce the bacterial colony optimization algorithm to solve the optimization in IEEE-33 node system, compare the optimization results with particle swarm optimization and bacterial foraging algorithm, and verified that the effectiveness and practicality and better speed and precision optimization of algorithm to solve the problem of the reactive power optimization. The different location and capacity of distributed power access impact on the flow calculation of the distribution network and other aspects, therefore it is essential to plan distributed power rationally. Optimize the allocation of distributed power are nonlinear optimization problem at high latitudes and high efficient intelligent optimization algorithms is particularly important. This paper establishes a model of DG which takes the minimal active network loss of DG and the least cost into consideration. Finally, taking PG&E-69 nodes distribution network as an example, and verify the effectiveness of the improved firefly algorithm applied in optimal configuration of DG. Results show that it has faster search speed and higher optimization precision than Particle Swarm Optimization(PSO) algorithm and bacterial foraging optimization algorithm(BFO).Firstly, this article analysis, exhaustively, the bionic mechanism of the bacterial colonies, and then use this algorithm analysis the reactive power optimization and locating and sizing of distributed generator in distribution system, and finally conclude that bacterial colonies optimization algorithm can solve these two months optimization problem mid validity and superiority.