Research On Wave Energy Generation Network Based On Remote Monitoring

The sea is full of huge green renewable energy,and the research on the exploitation and utilization of the ocean will bring people unprecedented opportunities.At present,the existing wave energy generation technology mainly employs intermediate conversion devices to translate low-speed wave movement into high-speed rotation movement,to generate electricity.Such power generation systems have various disadvantages: complex,costly,low power generation efficiency and difficult maintenance,etc.Utilizing linear motion,direct drive type wave power generation system can directly convert wave power energy into electrical energy,neglecting rotary-linear transformation in traditional wave power generation methods.However,the single-direct-drive-generator-based system has a relative low output power,which makes it less practical value.Large-scale cluster network wave power generation is to apply many generators to form a network,and to complete a generation task by working together,which will bring a new idea for the direct drive wave power generation systems.However,the large-scale cluster network wave power generation system requires automatic monitoring platform,comparatively a huge calculation,storage and other resources,so the cloud monitoring based intelligent wave power generation network will be an inevitable trend of wave power generation in the future.The controlled object of this thesis adopts the asymmetrical bilateral linear reluctance generator which is designed in our lab.It has a simple structure and high stability without containing permanent magnets,which makes it a good candidate for generation in the harsh marine environment.In this thesis,the structure,electromagnetic characteristics,mathematical model and working principle of asymmetric bilateral linear switched reluctance generator are introduced in detail.The advantages of this structure design of the generator are described combined with the ANSYS Maxwell electromagnetic simulation results,and the power generation principle of this generator and the energy conversion mechanism of power generation system are briefly described based on the mathematical model.Then,the single direct drive wave power generator based hardware system and software system are developed based on the dSPACE platforms,and the system output performance is tested under the conditions of variable parameters and environment.Next,a two direct drive generator based system is designed on the basis of the single generator based system.Two control methods are proposed based on the two generator based system,and the performance of the two methods is compared in detailed.The experimental results show that the system applying the compensation control method has a better stability in resisting parameters and environment changes.Finally,this paper builds a cluster network wave generation system based on three generators,and a remote monitoring platform is developed based on the dSPACE platforms and Matlab/Simulink to simulate cloud monitoring platform.This platform preliminarily realizes data collection and storage,and this paper makes a meaningful attempt for the research of large-scale cluster network wave power generation.