计及源-荷不确定性的低碳综合能源系统主从博弈优化调度

赵宇洋; 唐艺帆; 梁钰枚; 韦翌帆; 孙鹤旭

doi:10.19912/j.0254-0096.tynxb.2025-0664

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计及源-荷不确定性的低碳综合能源系统主从博弈优化调度

更新时间：2026-10-15

- 计及源-荷不确定性的低碳综合能源系统主从博弈优化调度
- Vol. 47, Issue 9, Pages: 493-504(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0664
  CLC： TM614
- Online First：10 October 2026，
  
  Published：2026
- 稿件说明：
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赵宇洋, 唐艺帆, 梁钰枚, et al. 计及源-荷不确定性的低碳综合能源系统主从博弈优化调度[J]. 2026, 47(9): 493-504.
DOI：

赵宇洋, 唐艺帆, 梁钰枚, et al. 计及源-荷不确定性的低碳综合能源系统主从博弈优化调度[J]. 2026, 47(9): 493-504. DOI： 10.19912/j.0254-0096.tynxb.2025-0664.

摘要

为实现综合能源系统低碳经济运行

兼顾能源运营商和用户双方利益

提出一种计及源-荷不确定性的含氢综合能源系统主从博弈优化调度方法。基于主从博弈理论

构建以综合能源运营商为领导者、负荷聚合商为跟随者的双层定价模型

并采用系数可调的鲁棒优化方法量化处理不确定性。针对模型的双层嵌套结构、多目标优化特性及不确定性约束

提出基于折衷规划的多目标优化方法

并结合自适应差分进化算法实现双层博弈求解。最后

依托崇礼风光耦合制氢示范项目数据进行算例分析

结果表明所提优化策略可提升能源系统运行安全性

可实现综合能源运营商与负荷聚合商的利益均衡。

Abstract

To balance the interests of energy operators and end-users while achieving low-carbon and economical operation of integrated energy systems (IES）

a Stackelberg game-based optimal scheduling method for hydrogen-containing integrated energy systems (HIES） considering source-load uncertainties is proposed. Based on Stackelberg game theory

a bi-level pricing model is constructed where the integrated energy operator (IEO） acts as the leader and the load aggregator (LA） as the follower. A robust optimization method with adjustable coefficients is adopted to quantify the uncertain parameters. To cope with the bi-level nested structure

multi-objective features and uncertain constraints of the model

a multi-objective optimization approach based on compromise programming is combined with the adaptive differential evolution (ADE） algorithm for bi-level game solution. Finally

a case study using data from the Chongli wind-solar-hydrogen coupled demonstration project is conducted. The results demonstrate that the proposed strategy enhances the operational security of energy networks and achieves balanced benefit distribution between IEO and LA.

关键词

Keywords

references

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