基于智能水滴算法的火电机组发电调度问题研究

电力系统机组组合是编制短期发电计划所需解决的核心问题,其所具有的高维数、非凸、离散、非线性等特征导致迄今尚未找到确定该问题最优解的解析算法。采用新型群智能算法——智能水滴算法,动态地生成每一时段的机组可行组合方案集合,基于此构建水滴遍历的空间,并将机组组合中各类技术经济约束条件融入智能水滴的评价与更新策略机制,提出了机组组合问题的智能水滴算法建模机制及求解流程。通过大量智能水滴并行运行、共同作用,得到了机组组合优化方案。将提出的模型应用于典型算例,计算结果证明,智能水滴算法能够有效解决机组组合问题,并且具有更强的全局搜索能力,收敛速度快,寻优迭代次数少,值得进一步研究探讨。

Generation Scheduling of Thermal Power Units Based on Intelligent Water Droplet Algorithm

The unit combination of power system is the core problem to be solved in the preparation of short-term power generation plan.Due to its characteristics of high dimension,non-convex,discrete and non-linear,an analytical algorithm to determine the optimal solution has not been found so far.This research adopted the new swarm intelligence algorithm-intelligent water droplets algorithm,which dynamically generated feasible unit set combination for each time interval,thereupon constructed water droplets traversal space,and integrated various technical and economic constraints of unit combination into the intelligent water droplet evaluation and update strategy mechanism.The modeling mechanism and solution flow of intelligent water drop algorithm for unit combination problem were proposed.Through the parallel operation and joint action of a large number of intelligent water droplets,the unit combination optimization scheme is obtained.The proposed model is applied to a typical calculation example,and the results show that the intelligent droplet algorithm can effectively solve the unit combination problem,and has stronger global search ability,fast convergence speed,and fewer optimization iterations,which is worthy of further study and discussion.