Research On Decision Support System For Motor's Energy Saving Operation In Oil Field

The dissertation develops from the decision support system for motor's energy saving operation, in which motor, pump and fan in oil field are discussed. The main work of the dissertation includes :(1) Research on decision support system for drive motor's energy saving operation in oil fieldAnalyzing drive motor's energy saving operation is a complex work, related to many factors and semi-structured factors, which needs to establish a decision support system as follows: On one hand, the model for drive motor's energy saving operation and decision in oil field is established, which can provide decision support for motor system reasonable matching in oil field. On the other hand, the system should be intelligent in some extent, which can solve semi-structured problems to improve scientific decision level. The research on decision support system for drive motor's energy saving operation in oil field included motor system evaluation, motor system reasonable matching, motor system simulation, feasibility on investment, and so on.(2) Research on expert decision moduleParticle swarm optimization algorithm is applied to expert decision module, mutation probability for the current best particle is determined by two factors: the variance of the population's fitness and the current optimal solution. The ability of particle swarm optimization algorithm to break away from the local optimum is greatly improved by the mutation. Through all kinds of information and knowledge base related to drive motor's energy saving, expert decision module can synthesize and analyze decision, and provide drive motor's energy saving scheme, save the results in the database. The expert decision module also can coordinate the base relation and information communication for each other through message transmission.(3) Research on efficiency matching expert system moduleThe optimum matching rule for motor system selection is discussed. The ant colony optimization algorithm is applied to decision model management system and efficiency matching expert system. Combined with motor parameters and load characters, drive motor's energy saving selection rule is discussed thoroughly, including motor starting, energy saving operation, and optimum mating rule with normal load.(4) Research on efficiency evaluation system moduleMotor system device selection matching is critical for system energy saving and safe operation, which precision affects motor's energy saving directly. Combined with motor parameters (such as efficiency, power factor, start-up characteristics, overload capacity, temperature rising) and load characters, efficiency evaluation system can evaluate the reasonability of motor system selection matching for energy saving , including economic efficiency evaluation , device rated efficiency evaluation, unit operation efficiency evaluation, pipe network operation evaluation. Function evaluation includes regulating range, load power, voltage level, rated current, accelerating performance, overload capacity. Safety evaluation includes protection level, motor temperature rising and insulation level, axis voltage of motor, rate of voltage rise, motor vibration, harmonic, and so on.(5) Research on feasibility on investment moduleIt is important to select an economic and energy saving scheme for the motor system, which needs investment and construction or energy efficiency retrofit. Feasibility on investment is mainly discussed with net present value method, inside income rate method, investment recovery period method, life cycle cost analysis method, and so on.(6) Research on motor system simulation moduleVector control system based on field orientation is discussed. Vector transfer and current decouple control model for asynchronous motor, comprehensive load model are established. Vector control model for asynchronous motor is designed and simulated with MATLAB. In order to improve the simulation rate and finite graphics tool function in SIMULINK environment, where simulation model parameters can not change dynamically or run without MATLAB, simulation model is redefined with C++ using RTW tool of MATLAB, the model execution method changes from interpretation execution of SIMULINK to C/C++, so that the execution efficiency is improved.