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

HUANG Xurui; SU Yana; HOU Hongjuan; YANG Bo; PAN Jun; ZHU Yishun

doi:10.19666/j.rlfd.202006208

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

更新时间：2025-09-28

- Multi-objective optimization method of energy hub operation considering integrated demand response
- Thermal Power Generation Vol. 50, Issue 4, Pages: 23-29(2021)
- 作者机构：
  
  1. 广东电网有限责任公司广州供电局
  2. 华北电力大学能源动力与机械工程学院
  3. 华北电力大学新能源电力系统国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202006208
  CLC： TK019
- Published Online：25 March 2021，
  
  Published：2021
- 稿件说明：
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HUANG Xurui, SU Yana, HOU Hongjuan, et al. Multi-objective optimization method of energy hub operation considering integrated demand response[J]. Thermal power generation, 2021, 50(4): 23-29.
DOI：

HUANG Xurui, SU Yana, HOU Hongjuan, et al. Multi-objective optimization method of energy hub operation considering integrated demand response[J]. Thermal power generation, 2021, 50(4): 23-29. DOI： 10.19666/j.rlfd.202006208.

摘要

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。

Abstract

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.

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