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Distribution Network Planning Method Considering Dynamic Behavior Of Distributed Generation

Posted on:2021-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2392330605967818Subject:Engineering
Abstract/Summary:PDF Full Text Request
As an important form of power grid in the future,the distribution network with distributed power has unique advantages in the fields of active intelligent regulation,information interconnection and power sharing.How to reasonably plan and develop the active distribution network with distributed generation is the key technology to solve the problems of distributed green and clean energy grid technology,promoting regional urban energy design and improving energy utilization effect.The randomness and intermittent uncertain dynamic behavior characteristics of distributed generation bring unprecedented difficulties and great challenges to the planning and technical research of this new active distribution network.The existing mathematical model of distributed distribution network planning method still has the following problems:(1)the traditional planning method fails to cooperate with the maximum power supply of active distribution network In the aspect of power research,the evaluation of the power supply capacity of the planned distribution network is not fully considered,which affects the rationality of the final optimization results;(2)the existing planning methods fail to take into account both the randomness of the output of the distributed power supply and the dynamic behavior of the load in the power supply and load research.If the large-scale access of the electric vehicle and the distributed power supply to the distribution network is considered,the traditional planning The method is no longer applicable;(3)there is still a problem that the initial search radius of AI algorithm is too large in the algorithm of solving the planning mathematical model.In view of these problems,under the background of the optimization of the random charge and discharge strategy of electric vehicles,a distribution network planning model and its solution method are proposed,in which the distributed generation and the uncertain load are taken into account.In this paper,firstly,the grid planning is carried out,and the probability constrained optimization model is established,which considers the three parameters of network loss index,voltage offset index and system voltage stability index.Then,the grid dynamic planning method is proposed.Based on this,the distributed power planning is carried out.The risk caused by distributed power access is taken as the objective function of the study,and the risk of system overload is considered The risk value of node voltage exceeding the limit and the risk value of branch power flow overload are considered.The grid planning model is solved by NSGA-? algorithm which is improved by nested gene loop search strategy,while the power planning model is solved by AGA algorithm.Finally,the power supply capacity index is used as the measurementstandard to screen the optimized power planning results.The planning mathematical model established in this paper is an optimization model that does not require branch overload and node voltage overrun at the level of power planning,meets the requirements of voltage optimization and network loss optimization at the level of grid planning,and takes the available power supply capacity as the evaluation index.Finally,the effectiveness of the proposed planning method is verified by IEEE-33.
Keywords/Search Tags:Distributed generation, genetic algorithm, maximum power supply capacity, distribution network planning
PDF Full Text Request
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