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Research On Control Strategy Of Wind Power Output Based On Hybrid Energy Storage Of Superconducting-Battery

Posted on:2021-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:S X PanFull Text:PDF
GTID:2392330605459104Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
In recent years,wind power due to its clean,efficient,and pollution-free advantages is been widely used as a renewable energy source.However,wind energy has the disadvantages like randomness,instability,and unpredictability,so wind power systems often have severe power fluctuations.As a result,the stability of the power supply system is damaged,causing a serious decline in power quality.Because energy storage equipment can handle energy,using energy storage equipment in wind power systems can effectively overcome the above-mentioned shortcomings of wind energy,while improving the efficiency of wind energy utilization,as the same time alleviating the adverse impact on grid connection,and making wind power generation become a huge develop and high-value renewable energy products.Hybrid energy storage system(HESS)is a new type of energy storage device that can compensate and suppress electric power fluctuations.Compared with single energy storage method,it has obvious differences in component structure and control strategy,at the same time,because of its non-linear,coupled,time-varying characteristics,making the control strategies more difficult.Based on the above problems,taking a superconducting-battery hybrid energy storage system as the research object,analyzing the structure of the hybrid energy storage system and designing the corresponding control strategies.Then,fully study and prove the structure and control strategies,and the specific content is as follows:(1)Aiming at the characteristics of non-linear,time-varying and coupling of wind power,considering the respective dynamic models of wind power and hybrid energy storage system,analyzing the operation performance of superconducting-battery hybrid energy storage system in detail,and getting the mathematical model of hybrid energy storage system.In addition,the converter,which is the pivotal unit for controlling energy flow in energy storage equipment,its mathematical analysis and modeling are carried out,and obtain the basic control strategies,which provides a basis for designing control strategies.(2)Studying an adaptive learning and improving hybrid genetic algorithm(HGAR).After analyzing the working state of the hybrid energy storage system,designing the voltage and current double closed-loop control scheme in combine with the optimization algorithm.Combining the mathematical analysis process of AC/DC converter and the equivalent model of superconducting device and battery,getting the control method of energy storage converter,at the same time,analyzing the circuit and working mode of DC/DC converter,and combining with the algorithm,giving the control method in the case of charge and discharge of the energy storage system.(3)Basing on the energy distribution method of low-pass filtering,and considering the excessive charge and discharge of the energy storage system,designing a strategy of state of charge(SOC)zone limit management.The device can be charged in a state of zoning to ensure that the energy storage system always works in a normal state.Finally,using the integrated hybrid energy storage system and the corresponding control strategy to obtain the overall charge-discharge topology including the wind-storage-network-control system.Building the simulation model and control strategy model of the hybrid energy storage system in MATLAB/Simulink.Simulating the performance of the energy storage system under the corresponding control strategy according to the command charge and discharge and antidisturbance simulation,and using a comparison and simulation of different energy storage methods combined with different control strategies to verify the correctness and effectiveness of the superconducting-battery hybrid energy storage system under the hybrid genetic algorithm integrated control strategy.The simulation results show that: based on the superconductingbattery hybrid energy storage system combination with the hybrid genetic algorithm integrated control strategy can effectively compensate and suppress the wind power fluctuations.Under the control strategy,the energy storage system can quickly and smoothly follow the instructions for charging and discharging,it can also timely suppress the random disturbance of voltage and current during operation,and make the system quickly return to normal.At the same time,with the zoning limit of the state of charge,greatly reducing the depth of charge and discharge of the hybrid energy storage system,which effectively improves the life of the system and the number of cycles.
Keywords/Search Tags:Wind Power, Superconducting Energy Storage, Hybrid Energy Storage System, Hybrid Genetic Algorithm, State of Charge
PDF Full Text Request
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