基于改进人工蜂群算法的微电网优化调度研究
Optimal Scheduling Study of Microgrid Based on Improved Artificial Bee Colony Algorithm
王明洋1
作者信息
- 1. 吉林电力股份有限公司 四平第一热电公司,吉林 四平 136000
- 折叠
摘要
在常规蜂群算法的基础上,提出一种多策略协同优化的改进人工蜂群算法,利用反向学习和自适应动态调整因子提高算法的求解精度和求解速度,然后建立以日运行成本最低为目标的微电网优化调度模型,利用IABC求解,最后得出了最优的调度计划.采用多种算法进行对比仿真实验,验证了本文提出算法的有效性,为微电网的实际运行提供技术指导.
Abstract
This paper proposes a multi-strategy coordinated optimal artificial bee colony algorithm on the basis of the conventional bee colony algorithm,using inverse learning and adaptive dynamic adjustment factors to im-prove the algorithm's solving accuracy and speed,and then establishes an optimal scheduling model for micro-grids with the goal of minimizing the daily operating cost,and solves it by using the IABC,and finally arrives at the optimal scheduling plan.The comparison simulation experiments are carried out through various algorithms to verify the effectiveness of the algorithms proposed in this paper and to provide technical guidance for the ac-tual operation of microgrids.
关键词
微电网系统/优化调度/人工蜂群算法/反向学习Key words
Microgrid systems/Optimal scheduling/Artificial bee colony algorithm/Inverse learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据