基于粒子群算法的风电系统经济调度
The Economic Dispatch for Integrated Wind Power Systems Using Particle Swarm Optimization
摘要：
风电机组的经济调度与常规火电机组的经济调度有很大不同，所采用的模型还应考虑风速的不确定性。因此，本文使用的模型，考虑到上述考虑，除了公用事业是否拥有风力涡轮机或没有。采用现代优化算法之一的粒子群优化算法求解经济调度问题。使用6总线系统，除了热发电机外，还包括风力发电机。还提供了对结果的全面分析。
英文摘要：
The economic dispatch of wind power units is quite different from that in conventional thermal units, since the adopted model should take into consideration the intermittency nature of wind speed as well. Therefore, this paper uses a model that takes into account the aforementioned consideration in addition to whether the utility owns wind turbines or not. The economic dispatch is solved by using one of the modern optimization algorithms: the particle swarm optimization algorithm. A 6-bus system is used and it includes wind-powered generators besides to thermal generators. The thorough analysis of the results is also provided.
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。
