摘要
建立了泵站多机组叶片全调节与变频变速组合优化运行数学模型,提出了基于动态规划逐次逼近法的大系统分解-动态规划聚合求解方法.以泵站日提水耗电费用最小为目标、机组提水量为协调变量,将该模型分解为若干个单机组叶片全调节与变频变速组合日优化运行子模型.该子模型以机组叶片安放角及机组转速为决策变量、机组提水量的离散值为状态变量,采用动态规划逐次逼近法求解.构造的聚合模型以各机组提水量为决策变量、泵站提水量的离散值为状态变量,采用动态规划方法求解.以某泵站运行为例,在满负荷、80%负荷、60%负荷下,各日均扬程下泵站多机组叶片全调节与变频变速组合日优化运行较定角恒速运行平均单位提水费用分别节约5.80%,25.19%,32.20%.
A mathematical model of optimal operation with adjustable-blade and variable speed for multiple pump units in pumping station was made and a decomposition-dynamic programming aggregation method based on DPSA was proposed.With minimal daily electric consumption as the target,water quantity pumped by units as coordinated variable,the above-mentioned model was decomposed into several sub-models of daily optimal operation with adjustable-blade and variable speed for single pump unit.The sub-model took the blade angle and pump speed as decision variables,the discrete values of water quantity pumped by each unit as state variable,and was solved by applying DPSA.The constructed aggregation model took water quantity pumped by each pump unit as decision variable,the discrete values of water quantity pumped by pumping station as state variable,and was solved by dynamic programming method.Taking the operation of a pumping station as a case,the optimal operation of multiple pump units with adjustable-blade and variable speed has average cost saving of 5.80%,25.19% and 32.20% under 100%,80%,and 60% loads respectively.
出处
《排灌机械工程学报》
EI
北大核心
2013年第6期496-500,共5页
Journal of Drainage and Irrigation Machinery Engineering
基金
国家自然科学基金资助项目(60974099)
江苏省属高校自然科学重大项目(09KJA570001)
2012年度扬州大学科技创新培育基金资助项目(2012CXJ040)
关键词
泵站
多机组
叶片全调节
变频变速
动态规划
逐次逼近
pumping station
multiple pump units
adjustable-blade
variable with VFD
dynamic programming
successive appoximation
