Font Size: a A A

Multiple Objective Planning Of Distribution Network With Multiple Distributed Generation

Posted on:2017-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:C XuFull Text:PDF
GTID:2272330488983947Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Distributed generation (DG) is very economical, reliable, flexible and environmental protection and many other advantages, plays more and more important role in the whole power. Different types of DG with different operating characteristics, need to carry on the reasonable planning when access to distribution network, otherwise, it will have a negative impact on the normal operation of the power grid. Based on this, the main purpose of this paper is to study when the new DG of distribution network access how to reasonable siting and sizing, the specific content including:Taking a practical distribution system in Ningxia as an example, the simulation analysis is carried out on the basis of the original distribution network grid structure to plan the DG, to be connected with wind power, photovoltaic, gas turbine three kinds of DG;Improve the definition of network loss rate index and the voltage stability improvement rate index, the node were evaluated by calculating the comprehensive evaluation index to determine the DG to be selected for installation of the node; establish corresponding mathematical programming model, using the minimum of distribution power purchasing cost, DG operation maintenance costs and distributed generation subsidies as economic goals, the best voltage stability index is used as the stability target, the multi-objective optimization problem is processed by the normalization and weighting method to obtain the optimization objective function;Respectively, using MATLAB simulation,the particle swarm optimization algorithm and the particle artificial fish swarm algorithm obtain two kinds of DG planning scheme. Through comparative analysis found that the particle artificial fish swarm algorithm optimization result is more reasonable and can bring better economic efficiency and operation reliability of distribution network.
Keywords/Search Tags:Distributed generation, Distribution network planning, Multi-objective optimization, Particle Artificial Fish Swarm Algorithm, Normalization
PDF Full Text Request
Related items