| 基于改进粒子群算法的排涝泵站优化调度分析 |
| |
| 引用本文： | 吴远为,梁兴,刘志勇,刘梅清. 基于改进粒子群算法的排涝泵站优化调度分析[J]. 中国农村水利水电, 2020, 0(1): 185-187 |
| |
| 作者姓名： | 吴远为 梁兴 刘志勇 刘梅清 |
| |
| 作者单位： | 流体机械与动力工程装备技术湖北省重点实验室;南昌工程学院 |
| |
| 基金项目： | 湖北省水利重点科研项目“基于改进粒子群算法的排涝泵站优化运行研究”(HBSLKY201701)。 |
| |
| 摘 要： | 针对泵站节能降耗问题,建立了站内优化调度模型,并利用混沌理论改进粒子群算法,开展站内调度方案寻优问题研究。研究结果表明,采用混合粒子群算法,收敛速度快,求解精度高,较适合泵站优化调度求解;采用3时段优化分析时,优化方案耗电量为23.34万kWh,节省电量3.46万kWh,取得了较好的优化调度结果。
|
| 关 键 词： | 泵站 粒子群算法 优化调度 调度模型 |
Optimal Dispatching of Pumping Station Based on Improved Particle Swarm Algorithm |
| |
| WU Yuan-wei,LIANG Xing,LIU Zhi-yong,LIU Mei-qing. Optimal Dispatching of Pumping Station Based on Improved Particle Swarm Algorithm[J]. China Rural Water and Hydropower, 2020, 0(1): 185-187 |
| |
| Authors: | WU Yuan-wei LIANG Xing LIU Zhi-yong LIU Mei-qing |
| |
| Affiliation: | (Hubei Key Laboratory of Accoutrement Technique in Fluid Machinery and Power Engineering,Wuhan 430072,China;Nanchang Institute of Technology,Nanchang 330099,China) |
| |
| Abstract: | Considering the problem of energy-saving and consumption reduction in pumping stations,an optimal dispatching model in stations is established,and the particle swarm optimization algorithm is improved by using chaos theory,and the optimization of dispatching schemes in stations is studied.The results show that the hybrid particle swarm optimization algorithm has fast convergence speed and high accuracy,and is more suitable for optimal dispatching of pumping stations.When three-period optimization analysis is used,the optimal scheme consumes 233400 degrees of power and saves 346000 degrees of power,and achieves better optimal dispatching results. |
| |
| Keywords: | pumping station particle swarm optimization optimal scheduling scheduling model |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
