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Research On Parallel Operation Control Of Diesel Generator

Posted on:2021-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:D ZhangFull Text:PDF
GTID:2492306047497794Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Due to the continuous progress of the times,the volume of ships is gradually increasing,and the load with larger power is also increasing.The accuracy standard of the mathematical model of its speed control part and its excitation control link is gradually increasing.In the past,PID was often used as a control method.Traditional PID controllers could not adjust the non-linear components well,and it was difficult to accurately handle it under the condition of large load variation.Therefore,the traditional PID control has a weak impact on the dynamic and static capabilities of the system.This paper takes diesel generator sets as research targets,focuses on the research and experiment on the uncertainty generated when diesel generators are connected in parallel with two generators,describes and analyzes the cloud model theory in detail,and combines the traditional PID control of the cloud model theory.Form a new cloud model PID controller,bring the cloud model PID controller into the diesel generator integrated control system and the diesel generator dual-machine parallel system,and optimize the poor control effect of traditional PID,which is better.Solving the uncertainty and instability factors of diesel generators in parallel operation.In the final results,it can be seen that the cloud model PID control has a better control effect,which is in line with the expected results.First,the speed regulation part of the diesel generator was researched,And built a precise mathematical model.The specific governor,UG-25 +,was analyzed and described,and its components and operating rules were studied.Then the mathematical model of the synchronous generator is analyzed and appropriately simplified,and a fifth-order model is obtained.After researching and simulating the mathematical model of the excitation system,simulation experiments are performed on the system under study by MATLAB software.Secondly,for the complexity,non-linearity and easy-to-change characteristics of marine diesel generating units,on the basis of the control rules of the cloud model with speculative ambiguity,the cloud model control principle is applied to the speed regulation of the marine diesel generator set and carried out Simulation experiment.Based on the principle of PID,the regulation method combining PID and cloud model is selected to study the diesel generator.In MATLAB software,a 100% load simulation experiment was carried out on the system,and the adjustment effect of the fuzzy control on the system was compared.The results show that the cloud model PID control is superior to the fuzzy control in the performance of overshoot and stable time performance.,The ability to automatically adjust the controller is enhanced.The control algorithm maintains the advantages of both traditional PID control and cloudmodel,and has the characteristics of simple algorithm,high accuracy and good robustness.From the results obtained,it can be seen that the control method combining the cloud model and the PID has better stability and responsiveness.Last,This paper researches and analyzes the operation of a single machine.Based on this,a simulation analysis of a two-unit parallel system is performed,and a cloud model PID controller is applied.The effect of this controller significantly enhances the smoothness of the frequency of the parallel system,and well guarantees the average distribution of load power in different units.The obtained results show that the load power can be effectively distributed for the parallel diesel units with cloud model PID control.At the same time,the controller under study can like best handle the smooth operation of the diesel engine,thus laying a foundation for the discussion of parallel operation of multiple units in the future.
Keywords/Search Tags:diesel generator, unit parallel, PID control, cloud model, Fuzzy control
PDF Full Text Request
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