Research On Reconfiguration Of Distribution Network Considering Distributed Generations

Globally,the energy production structure of the power sector is undergoing tremendous changes.With the development of renewable energy sources(wind energy,solar energy,etc.),power production has shifted from centralized to semicentralized.In particular,the integration of a considerable number of distributed power sources into the distribution network has alleviated the power shortage to a certain extent and also brought many problems and challenges.The basis of the research in this paper is distributed power modeling.Through its analysis,a series of related research on distribution network reconfiguration is carried out.Firstly,the thesis expounds the research background,current situation and significance of this subject,and at the same time,the objective function and application algorithm of distribution network reconfiguration are studied in turn,and the current research status of distributed power is described.Secondly,carefully analyzed the influence of distributed power grid connection on the distribution network.Based on the various types of distributed power and different interface types,a power flow calculation model was analyzed for its integration.In order to simplify the calculation,the distributed power supply can be treated as a PQ load node.A forward power generation method based on node layering is used to analyze the power flow.The impact of different distributed power access locations and different access capacities on the system is quite different,and usually has a good effect.Furthermore,the basic principles,main parameter composition,basic algorithm steps,processes and related algorithm improvements of the particle swarm optimization algorithm are introduced in detail.At the same time,the relevant content of the multi-objective problem is described.Steps and process.Finally,through the analysis of examples,we deeply study the problem of distribution network reconfiguration.Aiming at the single-objective optimization problem,an improved hybrid particle swarm optimization algorithm is used to reconfigure the network in the power distribution system.The configuration has the smallest loss and the smallest node voltage deviation,and at the same time meets the operating constraints under specific load modes and operational restrictions It is the current capacity and radial operation structure of the system.For multi-objective optimization,an optimized mathematical model with minimum active loss,number of switching operations,and voltage offset as objective functions is constructed.Through simplifying,coding and topology analysis of the network,Pareto model,external elite set,championship selection mechanism and dynamic parameter adjustment are introduced to improve the algorithm.Three access points are selected as distributed power access points,and an example analysis of IEEE33 nodes is performed in the Matlab software environment.The results verify the applicability of the improved algorithm to the objective function.