Research On Energy-saving Optimization Operation For The Auxiliary Power System Of Shuikou Hydropower Plant

At present,as energy crisis become more and more serious, energy savingbecome more and more important, and it has become a basic policy of our country. Atthe same time, Shuikou hydropower plant has a problem that its auxiliary powersystem consumes too much power energy, and need energy efficiency reconstruction.Energy efficiency reconstruction project needs a lot of money,so before the project iscarried out,we need design a scientific, conscientious plan. This thesis keeps in stepwith needs in our era, and links up with practical situation in Shuikou hydropowerplant,designs a energy efficiency reconstruction plan about main transformer coolersystem and deep-well pump system.In the design,we make great efforts to maintainsecurity and stability in every subsystem of auxiliary power system with a purposethat make sure the auxiliary power system can run economically finally.On the main transformer cooler aspect, this thesis firstly bases on problemsexisting in current system, introduces variable frequency speed regulation technology,and design a energy-saving plan for hardware circuit of control system. Afterwards,according to transformer operation regulation and practical needs in control process,this thesis design PLC control program for main transformer cooler. this thesis alsoadopts PLCSIM simulation software to test the correctness of PLC program,and thesimulation result coincides demand of the control process.finally, this thesisintroduces fuzzy control theory to change cooler fan frequency transformer’s outputfrequency with the purpose that maintain temperature stability on oil in the maintransformer.The design process of fuzzy controller contains subjectivity which cangive birth to design error. this thesis adopts improved particle swarm optimization tooptimize the design process of fuzzy controller,and can minimize the design error, thismethod has theory reference value to some extent.On the deep-well pump system aspect, this thesis seeks actual operating point ofpump by pump characteristic performance curve fitting and pipeline characteristiccurve computing.By this method we can make sure the pump works ineffectively,andstart to design a energy-saving plan for system based on variable frequency speed regulation technology.In the design,we firstly structures4objective function which isaltered by speed regulation rate, adopts improved grey incidence analysis to makemulti-objective decision,and seeks a optimal speed regulation rate under certainworking condition. Afterwards,we see different optimal speed regulation rate underdifferent working condition as input sample of RBF neural network,and optimize theneural network on generalization ability side with the purpose that the neural networkcan predict the optimal speed regulation rate precisely. Finally, this thesis design aenergy-saving plan for deep-well pump control system hardware circuit based onproblems exsiting in current system and practical demands of control process,anddesign the PLC program.Besides,we develop human-computer interface on the hostcomputer.By the interfacewe can adopt neural network program to control outputfrequency of frequency transformer,and monitor some system parameters.This thesis also predicts its plan’s energy saving result.After the predict,we knowthat interrelated plans have energy saving effectiveness to some extent and are worthto be crrried out. This thesis finally summarizes its feature and shortcoming,it alsoprospects follow-up work.