基于粒子群优化算法的水利工程梯级泵站短期优化调度方法

Short-term Optimal Scheduling Method of Cascade Pumping Stations in Water Conservancy Projects Based on Particle Swarm Optimization Algorithm

本文指出水利工程梯级泵站是一个复杂且多变的系统,其运行涉及到多个泵站之间的协同工作,但往往简化了这些关系,反映泵站的动态特性和实际运行条件的变化过于片面,导致生成的调度方案的能耗较大。为此,本研究探讨了基于粒子群优化算法的水利工程梯级泵站短期优化调度方法。对水利工程梯级泵站的特性进行了深入分析,包括水泵的流量、扬程与转速之间的关系,以及泵站工况点的确定方法;以降低能源消耗为主要目标,构建了泵站短期运行的目标函数;设定了相关约束条件,采用粒子群优化算法求解目标函数,达到了整体能量优化为目标的优化调度策略。实验结果表明:在相同实验条件下,基于粒子群优化算法的水利工程梯级泵站短期优化调度方法在能耗方面表现最优,有助于更精确地指导泵站运行。

This paper points out that cascade pumping stations in water conservancy projects are a complex and changeable system,and their operation involves the cooperative work among multiple pumping stations,but these relationships are often simplified,reflecting that the dynamic characteristics of pumping stations and the changes of actual operating conditions are too one-sided,resulting in large energy consumption of the generated dispatching scheme.Therefore,this study discusses the short-term optimal scheduling method of cascade pumping stations in water conservancy projects based on particle swarm optimization algorithm.The characteristics of cascade pumping stations in water conservancy projects are deeply analyzed,including the relationship between pump flow,lift and rotation speed,and the method of determining the working point of the pumping station;with the main goal of reducing energy consumption,the objective function of short-term operation of the pumping station is constructed;the relevant constraints are set,and particle swarm optimization algorithm is used to solve the objective function,so as to achieve the optimal scheduling strategy with the overall energy optimization as the goal.The experimental results show that under the same experimental conditions,the short-term optimal scheduling method of cascade pumping stations in water conservancy projects based on particle swarm optimization algorithm is the best in energy consumption,which is helpful to guide the operation of pumping stations more accurately.