摘要
合理分配机组负荷,提高运行效率,降低生产成本是发电厂面临的重要任务,传统机组调度算法一般通过非线性规划或者群智能算法实现,但是随着技术的发展,新能源机组和传统机组混合调度问题的出现,传统的方法难以得到满意的调度规划结果。针对混合发电机组复杂调度问题,采用多智能体来联合调度优化。仿真实验表明,所提出的基于多智能体的优化模型能够得到复杂调度模型的最优解。
Optimization of load distribution,improvement of operation efficiency and reduction of production cost are important tasks for power station.Traditional generator scheduling algorithm is realized by non-linear programming algorithm or swarm intelligence algorithm.With the development of technology and appearance of hybrid generator scheduling problem between traditional generator and new source generator,satisfactory scheduling result cannot be achieved through traditional method.According to the complicated hybrid generator scheduling problem,the multi-agent algorithm is used to get better schedule result.Emulation experiment shows that optimization model based on multi-agent can get better optimal solution for complex scheduling model.
出处
《陕西电力》
2014年第4期74-77,共4页
Shanxi Electric Power
关键词
多智能体
新能源
机组调度
multi-agent
new source
generator scheduling
