基于DFIG的风力发电模型开发及风柴油发电厂的频率控制
Development of Wind Power Generation Model with DFIG for Varying Wind Speed and Frequency Control for Wind Diesel Power Plant
AI总结：
本文研究了风柴油混合系统在不同风速下的建模与频率控制，采用DFIG和柴油发电机，通过PI控制器优化实现频率调节，提升系统稳定性。
摘要：
非再生能源发电对环境有害且资源枯竭，而可再生能源如风能具有不可预测性。本文提出风柴油混合系统，利用DFIG和柴油发电机建模，考虑风速变化和负载条件，通过粒子群优化算法优化PI控制器参数，以提高系统频率响应和功率分配性能。
英文摘要：
The power generation with non-renewable energy sources has very harmful effects on the environment as well as these sources are depleting. On the other side the renewable energy sources are quite unpredictable source of power. The best trade-off is to use the combination of both kind of sources to make a hybrid system so that their individual power generation constraints can be overcome. The hybrid system taken for analysis in this work comprises of wind and diesel power generation systems. The complete modelling of the system has been done in MATLAB/SIMULINK environment. Doubly fed induction generator (DFIG) is used for power generation in wind power system. The modelling has been done considering the changing wind speed and varying load conditions. The mathematical models of DFIG and diesel power generator have been used to develop the simulink model which can be used for analysis of various performances of the system like frequency response and power sharing between different sources with load variation .The generating margin of DFIG is also simulated for the frequency support during varying load conditions .The generating margin is created by the control of active power output from DFIG. Also as the power demand rises the generating margin of DFIG keeps the balance between the power generation and load. Proportional Integral controller has been used for diesel generator plant for frequency control. The controller gains have been optimized with Particle Swarm Optimization technique. The proper selection of controller gains and wind power reserve help to achieve the enhanced frequency response of the hybrid system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
