Research On Operation Optimization Of Distribution Network With Distributed Generation

Due to the disadvantages of traditional set inherent power system, as well as the development of distributed generation(DG) technology and the society is becoming more and more attention to the problems of environmental protection, more and more distributed power supply in parallel operation of distribution network side. Distributed power distribution network after the access from the original single power supply, radiant structure become more power of complex network, at the same time,considering the randomness of distributed power supply and intermittent, operation optimization of the distribution network will face major changes. Reasonable optimization of distributed power distribution network operation, not only can improve the quality of power supply, also can reduce the network loss. At present, many scholars in the distributed power distribution network optimal operation study has made a lot of meaningful results, but there are still many places need to be improved.In view of this, based on the domestic and foreign scholars on the basis of research results, based on distributed power distribution network after the access object, and study for containing distributed power distribution network optimization problem, the main contents are as follows:First of all, the algorithm which solve the distribution network optimization operation is studied. Introduces a kind of intelligent optimization algorithms:bacterial foraging algorithm. Starting from the biological mechanism of bacterial foraging, expounds the basic principle of bacterial foraging algorithm, and carries on the characteristic analysis; Against its insufficiency, through the analysis of the optimization method of particle swarm optimization algorithm, the colony optimization mechanism of particle swarm optimization algorithm is introduced into the bacterial foraging algorithm, formed the modified bacterial foraging algorithm. Effectively improve the blindness of the original algorithm optimization, improve the early suppression and global optimization ability of the algorithm.Secondly, this paper summarizes the current research about containing DG distribution network reconfiguration, on the basis of containing output volatility has a distribution network reconfiguration problem carried on the thorough research of DG, DG is analyzed the influence of different output situation of distribution network reconfiguration scheme, for the present study about this kind of DG refactoring scene segmentation approach, put forward the new way of scene classification, elaborated in fan, for example; Using modified bacteria foraging algorithm to solve the problem of distribution network reconfiguration of the DG Numerical example results show that the algorithm, the method is feasible and effective.Finally, the distribution network with DG comprehensive optimization method are discussed in this paper, the distribution network reconfiguration and reactive power optimization of distribution network are emphatically analyzed their advantages and limitations. In view of the traditional optimization generally consider only one way, in this paper, under the background of containing distributed power distribution, comprehensive consideration of both optimization method, build a comprehensive optimization model of distributed power distribution network. Using a rapid and effective strategy to integrated optimization model for solving. By improving the IEEE 33 of example analysis on the energy saving system, effectively demonstrates the superiority of comprehensive optimization method.