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Optimal Configuration Of Renewable Energy DG Considering The Reactive Power Supporting Capacity

Posted on:2019-02-04Degree:MasterType:Thesis
Country:ChinaCandidate:X B QiaoFull Text:PDF
GTID:2382330545457422Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the continuous consumption of fossil energy and the intensification of ernvironmental pollution,renewable energy,such as small hydropower(SH),photovoltaic power generation(PVPG)and wind power generation(WG),has the characteristics of sustainable utilization,which plays an important role in adjusting the energy structure and sustainable development.But at present,most of them are carried out as grid-connected generation system of only single energy in resource-rich regions,and there are less research on the complementation of multiple types of renewable energy.In addition,the optimal dispatch of power grid has taken full account of the reactive power support capacity of renewable energy distributed generation(DG),but this characteristic has not been fully considered in the study of DG optimal configuration,and reactive power regulation can promote the renewable energy dissipation of the distribution network.In this paper,a mathematical model is established to make the penetration of renewable energy accessing to the distribution network maximum as the objective function.The GAMS optimization software and the analysis method of scene clustering are used to solve the optimal configuration of renewable energy in the distribution network.And the reactive power and complementary characteristics of the renewable energy DG have been considered in this model.The effectiveness of the coordinated allocation of active-reactive power and multi-type RE is verified by the example simulation.The specific research contents are as follows:Firstly,this paper shows the concept and classification of renewable energy DG,and takes three type of renewable energy DG,SH,PVPG,WG,as an example to introduces the current development status at home and abroad,as well as power generation principle and output characteristics;then analyze the working principle,decoupling control of active-reactive power and reactive power support capacity of renewable energy DG grid-connected inverter;the influence of DG active-reactive power on the optimal allocation of distribution network are verified through a simulation example.Then,based on historical data,this paper analyzes the complementary characteristics of wind,light and water resources in a small hydropower resource rich area;and analyses the time series active power and reactive power regulation capability of renewable energy DG based on scene clustering.Considering the constraints of resources and policy and the voltage sensitivity analysis,the RE-DG selected nodes are initially established.And the optimal configuration model of multiple types renewable energy DG considering the reactive power support capacity is built,and the model is solved by the GAMS.The results show that the reactive power of DG can improve the active power absorptive of renewable energy DG in the distribution network,and the coordinated complementarity of multi-type renewable DG can further improve the penetration of the renewable energy DG.Lastly,based on the linearization approximation method,the nonlinear equation in the traditional DG optimal configuration model is transformed into a linear equation,and a linear optimal configuration model for the joint active and reactive power of renewable energy DG is established.Taking into account the nonlinear relationship between capacity determination and reactive power,a new iterative algorithm for capacity and reactive power is proposed.Compared with the traditional nonlinear model,the correctness of the proposed method is verified in an improved IEEE 33 node standard system.This method can be used to solve the optimal configuration of a large scale example system.
Keywords/Search Tags:Renewable energy DG, Reactive power support capacity, Linearized model, Optimal configuration, Resource complementarity
PDF Full Text Request
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