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Optimized Configuration Of Distributed Generation And Energy Storage System In Active Distribution Network

Posted on:2020-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:H ChenFull Text:PDF
GTID:2392330572473522Subject:Engineering
Abstract/Summary:PDF Full Text Request
In order to alleviate the energy crisis and environmental degradation problems,Distributed Generation(DG)is more and more widely researched and applied in distribution network systems.Due to the volatility and intermittent nature of DG output,it will bring many adverse effects to the power grid.In order to solve these problems,the active distribution network has emerged.The active distribution network is characterized by active control of the DG to improve the network loss caused by the distributed generation,the voltage quality is reduced,and the utilization rate of the power grid equipment is low.Among them,the Energy Storage System(ESS)has the functions of smoothing the output power fluctuation,cutting the peaks and filling the valley,improving the voltage,etc.,and has become an important means to optimize the active distribution network.However,due to the high investment cost of the energy storage system,there is no large-scale development and application.Based on this,in order to give full play to the supporting role of DG and ESS on the distribution network,the optimal configuration of DG and ESS in the active distribution network is systematically studied.The main research contents are as follows:(1)Firstly,research on active distribution network,DG and ESS,and establish a mathematical model of wind power generation and photovoltaic power generation.Secondly,the theoretical derivation and analysis of the network loss and voltage distribution of the ESS access distribution network are carried out,and the conclusion that ESS can improve the grid voltage quality and reduce the network loss is preliminarily concluded.Finally,the simulation analysis of the impact of DG access to the distribution network was carried out.(2)DG access to the distribution network will have an impact on system voltage and network loss.For the optimization problem of DG in the distribution network,factors such as investment operation cost,network loss cost and power generation cost of DG are considered.The cost is minimized to the objective function and an optimal configuration model is established.In order to overcome the premature phenomenon and convergence problem of traditional genetic algorithm,an improved adaptive genetic algorithm is used to solve the objective function,and the simulation is carried out on the IEEE-33 node distribution network model to verify the correctness of the above model.The effectiveness of the algorithm solution.(3)A two-layer optimization model is proposed for the location and volume of the optical storage microgrid in the active distribution network.The upper layer optimization is based on the interests of PV investors,taking into account the economics of distribution network operation,and establishing a multi-objective optimization model with the goal of distributed photovoltaic operating cost,distribution network loss and voltage stability margin,so as to obtain photovoltaic access.Position and capacity;the lower layer optimizes the optimization result of the above layer as the constraint,and the operation cost of the optical storage microgrid is the minimum.By calculating the economic dispatching scheme of the optical storage microgrid,the maximum interval algorithm is used to obtain the energy storage configuration capacity.Finally,the IEEE33 standard model is taken as an example for simulation analysis.The results verify the feasibility and effectiveness of the proposed model and its solution method.(4)Based on the above theoretical analysis,the realization method of distributed generation and energy storage system optimization configuration is studied,and the optimized configuration software of distributed power supply and energy storage is developed on MATLAB platform.
Keywords/Search Tags:active distribution network, distributed generation, energy storage system, PV-and-storage microgrids, optimization method
PDF Full Text Request
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