Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction

REN Hongbo; WANG Guangtao; LI Qifen; YANG Yongwen; WU Qiong

doi:10.19666/j.rlfd.201908217

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Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction

更新时间：2025-09-28

- Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction
- Thermal Power Generation Vol. 49, Issue 3, Pages: 60-67(2020)
- 作者机构：
  
  上海电力大学能源与机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201908217
  CLC： TK123
- Published Online：26 February 2020，
  
  Published：2020
- 稿件说明：
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REN Hongbo, WANG Guangtao, LI Qifen, et al. Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction[J]. Thermal power generation, 2020, 49(3): 60-67.
DOI：

REN Hongbo, WANG Guangtao, LI Qifen, et al. Collaborative optimization of equipment configuration and operation strategy for integrated energy systems based on supply-demand interaction[J]. Thermal power generation, 2020, 49(3): 60-67. DOI： 10.19666/j.rlfd.201908217.

摘要

以冷、热、电多能流的供需互动为立足点

基于主从博弈论

构建基于集中能源站1-N型架构的区域综合能源系统设计与运行协同优化决策框架。在供给侧

通过耦合考虑投资和运行费用建立设备配置与运行策略的协同优化模型;在需求侧

综合考虑多元能源需求弹性

提出基于用能满意度与购能支出的效用函数。在此基础上

以冷、热、电多元能源价格及相应逐时负荷为决策变量

形成供需互动博弈机制

并提出了博弈模型的求解方法。最后

通过仿真算例验证了所提优化决策方法的有效性。最终优化结果使得区域综合能源系统能源交易量上升

促进了系统的稳定运行

总体社会福利得以提升。

Abstract

Based on the supply-demand interaction of multi-energy flow

a decision-making framework for design and operation optimization of integrated energy system based on concentrated energy station 1-N type structure is proposed by employing the Stackelberg game. On the supply-side

a collaborative optimization model of equipment configuration and operation strategy is developed by coupling investment and operation cost. On the demand-side

the utility functions based on energy consumption satisfaction and energy cost is proposed by considering multienergy demand elasticity. Following which

by taking multi-energy prices and hourly loads as decision variables

an interactive game mechanism between supply and demand sides is formed. Finally

the solution method for the game model is proposed. In addition

a numerical study is executed to verify the effectiveness of the optimal decision-making method. The optimization result promotes the energy trading

and improves the stability of system operation as well as the overall social welfare.

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