CAD System And Optimum Design Of Magnetic Controlled Reactor

Magnetic controlled reactor is an important device of voltage control and reactive power compensation in power system. It takes advantage of the DC bias magnetic principle, and DC excitation current is controlled by changing the thyristor firing angle, so the permeability of core is changed to achieve the purpose of reactive power continuously adjustable. Because of its many advantages such as simple manufacturing process, low cost, stable structure and convenient maintenance, it has been widely used in many fields. With the development of computer technology, CAD technology in industrial design and production field has played an important role. The thesis applys CAD technology to magnetic controlled reactor design, the practical magnetic controlled reactor CAD system is researched and developed.Firstly, the CAD system is overall designed, which posses two main functions of preliminary design and optimization features with engineering database as the core. The system consists of several modules, the function of each module and the relationship between each other are introduced in detail.Secondly, the structure and characteristics are described for single-phase and three-phase magnetic controlled reactor, which traditional manual design method is summed up by drawing on design experience and calculation method of reactor, then the design process is determined. As important parts of the magnetic reactor design, how to calculate flux density, diameter of the core, small cross-section segment structure, tap than, temperature rise and harmonic are analysed in detail. Distribution of the leakage reactance is different under different types of winding structure, and reactance calculation is analysed in different condition.Thirdly, optimal design model is established based on the manual design, the lack of standard genetic algorithm is explained, magnetic controlled reactor design is optimized using improved genetic algorithm. Two improved genetic algorithms AGA and SAGA commonly used currently are described in detail, and their performance in the test function are analysed. Comparison of the datas shows that SAGA has obvious advantages by overcoming premature convergence defects of the standard genetic algorithm and its high precision, so this thesis uses SAGA to optimize magnetic controlled reactor design. In the case of meeting the technical requirements performance indicators, an example of magnetic controlled reactor optimum design is taken, and the cost is reduced, which achieves the desired effect.Finally, the implementation technology for CAD system is researched. C++programming language is used for the object-oriented CAD system design, MFC is used for interface written in software design. Magnetic controlled reactor design softwares are developed and they are integrated in the CAD system for single-phase and three-phase of two structures. The CAD system is tested by taking a single-phase reactor and a three-phase reactor as examples for the CAD system to verify its correctness and feasibility.