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Research On Optimal Allocation Of Distribution Generation In Active Distribution Networks

Posted on:2023-11-07Degree:MasterType:Thesis
Country:ChinaCandidate:G H LiuFull Text:PDF
GTID:2542306623971859Subject:Master of Engineering
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The formulation and implementation of the national" carbon peaking and carbon neutrality" strategic goal has promoted the green transformation of the energy industry,promoted the rapid development of distributed generation technology and active distribution network technology,and the proportion of distributed generation in the power grid has been significantly improved.In order to deal with the operation risk brought by the large-scale access of distributed generation to the distribution network and improve the operating environment of the system,there is an urgent need to study the optimal allocation of distributed generation in active distribution network.Based on the uncertainty analysis of distributed generation and the verification of the necessity of optimal configuration,this paper studies the hosting capacity of distributed generation and the optimal economic benefit of the system for wind power and photovoltaic distributed power,and takes the IEEE33 node distribution network system as an example,and obtains the configuration results that meet the corresponding constraints.The main work of this paper is as follows:1.Considering the randomness and fluctuation of wind power and photovoltaic output and load demand,the uncertainty models are established respectively.Then,the time sequence characteristics of source load are analyzed,and the scene generation method based on Monte Carlo sampling and roulette mechanism and the scene reduction method based on K-means clustering are theoretically introduced.it lays a theoretical foundation for the optimal allocation of distributed generation considering the influence of source load timing characteristics.2.In order to verify the necessity of optimal configuration of distributed generation,taking the voltage quality of distribution network as an example,three cases of no distributed power access,single distributed power access and multi-distributed power access are simulated and analyzed.From the simulation results,it can be concluded that the configuration mode of decentralized access of multiple distributed generation has a better effect on improving the voltage quality of the system,and the larger the access capacity of distributed generation is,the greater the voltage increase of each node is,but at the same time,the risk of voltage exceeding the limit of the access location and nearby nodes is also higher.3.When studying the hosting capacity of distributed generation in active distribution network,firstly,considering the possible system operation risk caused by randomly selecting the access location of distributed generation,a distributed generation location method based on voltage stability index is proposed.Then,the distributed generation hosting capacity model considering a variety of static security constraints and active management constraints is established,and an intelligent water drop algorithm based on genetic algorithm is proposed to solve the problem.Finally,the time series characteristics of source load and active management measures are analyzed respectively.The results of numerical examples verify the rationality of the model and the effectiveness of the proposed algorithm.At the same time,compared with not considering the timing characteristics of source load and active management measures,the configuration scheme considering both participation is better.4.When studying the problem of taking the optimal economic benefit of the system as the goal of distributed generation configuration,and comprehensively considering the interests and needs of each construction subject of distribution network,a bi-level optimal configuration model of distributed power of active distribution network is established.And the,upper model is optimized by introducing active management fees into the cost of distributed power operators.The improved intelligent water drop algorithm combined with particle swarm optimization algorithm is used to solve the upper and lower layer models respectively.The research results show that the established model is reasonable and effective,and compared with the traditional distribution network,with the participation of active management measures,the economic benefit of the distributed generation allocation scheme in the active distribution network is better.
Keywords/Search Tags:active distribution network, distributed generation, hosting capacity, improved intelligent water drop algorithm, bi-level planning
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