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Research On Control Strategy Of Automatic Generation Control System With New Energy

Posted on:2020-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y D GuoFull Text:PDF
GTID:2392330578968967Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the development of power generation industry,conventional energy is decreasing rapidly.Therefore,Hnding alternative energy to meet the energy demand in the future has gradually became the focus of attention.In this case,solar and wind enemy are ore ferred because of their broad coverage,easy access,and renewable advantages.However,as new energy such as wind and light energy,are incorporated into the power urid on a large scale,its randomness and volatility will have a great impact on the interconnected power system and make it difficult to control the frequency.The automatic generation control strategy used in conventional interconnected power systms is not sufficient to meet the control requirements.Therefore,it is necessary to further study the control strategy of automatic generation control system with new energy.In this paper,the model of automatic generation control system with wind turbine and solar power unit is analyzed firstly.On this basis,two kinds of automatic generation control system structures are proposed:when the total installed capacity of wind farm is small,the wind turbine and solar power unit are taken as the disturbance respectively,and when the total installed capacity of the wind farm is large,the wind turbine is used as schedulable power supply to connect to the system and the solar power unit is used as the disturbance.In order to solve the frequency fluctuation problem caused by the incorporation of new energy units,a new frequency controller based on grey wolf optimizer algorithm is proposed in this paper.In order to reduce the frequency fluctuation of the system,the grey wolf optimizer algorithm is used to quickly optimize the optimal parameters of the controller,so that the frequency fluctuation can be stabilized quickly and efficiently.Aiming at the randomness of new energy disturbance,the adaptive network fuzzy inference mechanism is introduced into the automatic aeneration control in this paper,so that the controller can update its parameters in real time and online to achieve better control effect in the face of large disturbance.In this paper,two kinds of automatic generation controllers are applied to the proposed two AGC system structures,and the simulation results show that the two controllers can achieve better control effect.
Keywords/Search Tags:new energy, automatic generation control, grey wolf optimizer algorithm, adaptive network fuzzy inference system
PDF Full Text Request
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