Font Size: a A A

Research On Intelligent Control Algorithm Of Static Phase Generator

Posted on:2009-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:J L YanFull Text:PDF
GTID:2178360245955369Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In China, the quantity of electromotor-consumed electricity is 60%-68% of that of all industry-consumed electricity. Reactive wastage aroused by electromotor is central source of electricity wastage. Since large and medium-sized electromotor contribute mainly to the equipment consumed electricity of many industry enterprises, how to reduce wastage aroused by large and medium-sized electromotor has become the key to saving energy and reducing wastage for many industry enterprises.Intelligent Static Phase Generator (ISPG) is a kind of equipment of compensating reactive power, which technically designed for large and medium-sized Wound-Type electromotor to save energy and reduce wastage. It is linked serially to rotor of Wound-Type electromotor and can enhance power factor of electromotor.Development on ISPG can not only fulfill the potential of power supply equipments and reduce wastages of electric power to the aim of saving energy and enhancing economic benefits of enterprises, but also benefit the whole society. It also helps to save resources that are not recyclable, such as coal. Moreover, our country can reduce investment to build power plants, and so on.In this thesis, development on ISPG is studied and analyzed in depth. Through the analysis reactive power compensation's principle, this thesis unified the domestic and foreign newest research results, compared with several commonly used reactive power compensation method. The concept and Design proposal of Static Phase Generator were discussed, the system design , working principle, hardware design, software design and intelligent algorithm were detailed descripted. The intelligent control algorithm choice was discussed . compared conventional PID algorithm and neural network algorithm, BP Network has been selected as the system intelligent algorithm. The focus of this thesis were neural network learning system and its structure and rules, BP network controller design and system design. Main areas of the system hardware and BP network control system were simulated and simulation results were analyzed. Finally, it give the instruction of the system debugging and got the experimental results.Simulations and The experiments show that ISPG can enhance power factor of electromotor to above 0.96 commonly. With the elevation of the power factor, stator electric current decrease obviously and its range is about 20%. So voltage loss and electric power wastage decrease effectively on electromotor power supply circuitry consequently. With the elevation of the power factor, reactive power on stator descends gradually, so the aim of saving energy and reducing wastage can come true.This system after the experiment and scene debugging, its result indicated: The static -like phase advancer compensation effect is obvious, the intelligent control algorithm selection is reasonable, the design is advanced, has the broad application prospect.
Keywords/Search Tags:Intelligent Static Phase Generator, reactive power compensation, Wound-Type electromotor, reactive power, neural network
PDF Full Text Request
Related items