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Research On Siting And Sizing Of Renewable Distributed Generation Based On Ant Lion Optimization Algorithm

Posted on:2019-11-22Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2492306734484444Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of economy and the improvement of industrialization,the demand for electricity in various industries is increasing.the scale of the large power grid and the central transmission expand rapidly,moreover,because of the unsustainability of the traditional power generation mode and the consequent safety and environmental protection of the power grid,we need distributed power to provide a useful supplement to the power grid to solve this problem.The distributed generation system has the advantages of less area,low voltage level,and easy upgrade and expansion.However,the distributed power supply accessing the existing power distribution system will affect the topology and control method of the main system.Only when the location and capacity of the distributed power are reasonably planned in the distribution network can the stability,reliability and economy of the power system be improved.This paper focuses on the research of optimization of distributed generation capacity and location.First,it briefly introduces the main categories of distributed generation,including photovoltaic power generation,wind power generation,fuel cell power generation,and micro-turbine generation technologies.And the distributed generation has three types included PQ,PI,PV and their treatment methods.Secondly,this paper compares and analyzes the distribution network power flow method with distributed power supply,combined with the IEEE33 bus test system using forward and backward substitution method to analyze the different types of DG in different location and different access capacity on distribution system voltage level and the influence of network loss.Subsequently,this paper introduced the basic principles,important basic parameters and implementation process of the Antlion optimization algorithm in detail,and verified the new algorithm for reliability analysis.Then,under the conditions of satisfying various power constraints,Loss Sensitivity Factor(LSF)is introduced in the selection scheme of DG installation,then this paper establishes the multi-objective optimization mathematical model of distributed power supply capacity and location selection in the microgrid with the lowest network loss,minimum node voltage offset,and highest voltage stability as objective functions.The main choice is photovoltaic power and wind power as the distribute generations.In the standard IEEE 33-node and the IEEE 69-node test system,the ant-lion optimization algorithm is fully utilized to calculate and compare the power loss nodes in various situations,voltage offset and voltage stability where without the installation of the DG,one DG and two DGs are installed.The conclusions obtained are compared with other algorithms.The proposed ant lion optimization algorithm has good performance in reducing power loss and improving voltage characteristics.And the result of solving the location and capacity of distributed power supply is more prominent.
Keywords/Search Tags:Distributed generation, Active loss, Multi-object optimization, Loss sensitivity factors, Ant lion optimization algorithm
PDF Full Text Request
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