计及综合需求侧响应的能源枢纽多目标运行优化方法

Multi-objective optimization method of energy hub operation considering integrated demand response

基于计及综合需求侧响应的能源枢纽日前多目标优化问题,提出一种局部最优的多目标优化方法。首先,建立了能源枢纽系统、综合需求侧响应模型;其次通过标量化方法进行能源枢纽系统多目标权重分析并确定理想点,以理想点法建立目标函数;再次通过粒子群优化算法确定能源枢纽多目标需求下的理想负荷分配。通过实例验证计及综合需求侧响应,合理地调整负荷分配能有效降低能源枢纽期望的目标函数值,而供需博弈过程中的负荷分配贴近理想负荷分配的程度越高,运行优化结果越良好。

Based on one-day multi-objective optimization problem of energy hub considering the integrated demand response,a local optimal multi-objective optimization method is proposed.Firstly,the energy hub system and integrated demand response model are established.Secondly,the multi-objective weight analysis and ideal point of the energy hub system are determined by scalarization method,and the objective function is established by ideal point method.Thirdly,the ideal load distribution under the multi-objective demand of the energy hub is determined by particle swarm optimization algorithm.The case study shows that the reasonable adjustment of load distribution can effectively reduce the expected target function value of energy hub,and the higher the degree of load distribution close to the ideal load distribution in the process of supply and demand game,the better the operation optimization result.