Application Research Of Intelligent Control Algorithm On Networked Automatic Generation Control System | | Posted on:2015-02-08 | Degree:Master | Type:Thesis | | Country:China | Candidate:X B Zheng | Full Text:PDF | | GTID:2272330431981136 | Subject:Control theory and control engineering | | Abstract/Summary: | PDF Full Text Request | | The proportion of wind power in the grid increase quickly with the rapid development of renewable energy technologies. However, wind power which is an intermittent and random energy source affects the frequency stability of automatic generation control (AGC) system with the large-scale wind power integration. So, it is necessary to improve the conventional frequency control method and model. Firstly, a dynamic wind farm model is set up based on wind turbines clustering for the accuracy of data in this paper. The fundamental of AGC system, topology between multi-area interconnected system with wind farm and Area Control Error (ACE) model are analyzed.In order to reduce the impact of wind farms impact on the active grid frequency, resolve the problems brought by network, an intelligent control strategy of area optimization and global coordination is designed. Regional optimization is an intelligent control strategy of cascade control with outer loop using fuzzy PI algorithm and inner loop using internal model controller to reduce the impacting of variation of the wind farm and load disturbance on AGC system frequency and improve the performance of AGC system. Global coordination refers to adjust the power change of wind farm coordination with other regions in the whole grid using fuzzy control system. Control system is divided into network level, regional level and factory level three controls based on the above ideas. Fuzzy control system is used to adjust system according to the load disturbance, changes in wind farm power generators and regional regulatory feedback capability of the system in Network-level. Smith fuzzy adaptive tuning PI controller and internal model controller are used respectively in Regional and factory level. Meanwhile the two controller associate together using cascade control to restrain intra-regional interference and reduce its influence, as well as increase the dynamic performance of the system.Finally, frequency control effects of conventional AGC system and improved AGC system are contrasted by simulation study of four-area system. It is proved that the improved AGC system has stronger ability to resist fluctuation of wind power and better frequency control performance. | | Keywords/Search Tags: | AGC, Wind power, networked, Fuzzy control, Cascade control, internalmodel control, Smith fuzzy PI controller | PDF Full Text Request | Related items |
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