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Scenario-baed Reactive Power Optimization Of Distribution Network With Wind Turbines

Posted on:2019-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:L L WangFull Text:PDF
GTID:2392330590492197Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Reactive power optimization of distribution network is an important measure to ensure the safe and economic operation of distribution network,which can improve nodal voltage level and reduce active power loss to ensure the stability and economic operation of distribution network.In recent years,the proportion of wind turbines in the distribution network is increasing.The uncertainty of wind turbines’ output power brings new challenge to the traditional reactive power optimization method of distribution network.In order to take full use of the wind turbines’ output power and increase voltage level,as well as ensure the safe and economic operation of distribution network,it is imperative to conduct research on reactive power optimization problem of distribution network with wind turbines connected.Therefore,this paper uses the scenario analysis method to study the reactive power optimization problem of distribution network with wind turbines.The specific contents are as follows:Firstly,the paper studies the problem of reactive power optimization in the distribution network with wind turbine from the perspective of uncertainties.Based on the scenario analysis method,a stochastic model of load and wind turbine output is established.By dividing the problem with uncertain factors into a number of identified scenarios for analysis,the difficulty of reactive power optimization problem is reduced.An improved chicken swarm optimization algorithm is proposed to solve the established reactive power optimization model.Compared with other intelligent optimization algorithms,the results show that the improved chicken swarm optimization algorithm has obvious advantages in solving complex reactive power optimization problem of distribution network with wind turbine.Taking the IEEE 33-bus distribution network as the test example,the influence of different capacity and location of wind turbine on the network voltage and active power loss of the distribution network is analyzed.The reactive power optimization model considering the uncertainties is proved to be viable.Secondly,this paper studies the problem of reactive power optimization of distribution network considering the correlation among multiple wind turbines output.Based on the scenario analysis method,a scenario generation method based on Latin hypercube sampling combined with Cholesky decomposition and ranking method is proposed.Considering the random fluctuation of load and the uncertainty of wind turbines output,as well as the correlation among the output of multiple wind turbines.Based on this,a reactive power optimization model of distribution network with multiple wind turbines is established and solved by ICSO algorithm.Simulation analysis is carried out on an improved IEEE 33-bus distribution network.The influence of the correlation among multiple wind turbines’ output on the reactive power optimization results is studied.The reactive power optimization model considering the correlation among multiple wind turbines’ output is proved to be feasibility.Finally,a reactive power optimization software system of distribution network with wind turbines is developed.The system has such functions as data management,multi-scenario modeling of load fluctuation,algorithm parameters setting,reactive power optimization calculation and report generation.Which has a good human-computer interaction interface.It can be used for reactive power optimization calculation of distribution network with different structures.The optimization results can guide the relevant staff to arrange the switching of the shunt capacitor banks reasonably.Which can provide guarantee for the safe and stable operation of the distribution network.So the system has certain application value.
Keywords/Search Tags:reactive power optimization, wind turbines, scenario analysis method, uncertainties, improved chicken swarm optimization, correlation of output
PDF Full Text Request
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