OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES

Li Peng; Dou Zhenlan; Wu Hexian; Zhang Chunyan; Jia Yun; Tong Zechen

doi:10.19912/j.0254-0096.tynxb.2023-1891

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OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES

更新时间：2025-10-18

- OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES
- Vol. 46, Issue 3, Pages: 214-224(2025)
- 作者机构：
  
  1. 华北电力大学电气与电子工程学院,保定 071003
  2. 国网上海市电力公司,上海 200223
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1891
  CLC： TM721
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
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李鹏, 窦真兰, 吴和先, 张春雁, 贾沄, 佟泽莐. 计及多重不确定性的小型园区多能源系统优化调度方法[J]. 太阳能学报, 2025, 46(3): 214-224.

Li Peng, Dou Zhenlan, Wu Hexian, et al. OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES[J]. 2025, 46(3): 214-224.
李鹏, 窦真兰, 吴和先, 张春雁, 贾沄, 佟泽莐. 计及多重不确定性的小型园区多能源系统优化调度方法[J]. 太阳能学报, 2025, 46(3): 214-224. DOI： 10.19912/j.0254-0096.tynxb.2023-1891.

Li Peng, Dou Zhenlan, Wu Hexian, et al. OPTIMAL SCHEDULING METHOD FOR SMALL-SCALE COMMUNITY MULTI-ENERGY SYSTEM CONSIDERING MULTIPLE UNCERTAINTIES[J]. 2025, 46(3): 214-224. DOI： 10.19912/j.0254-0096.tynxb.2023-1891.

摘要

为解决多能源舱集成的多能源系统中能源转换设备效率、源侧及荷侧存在不确定性的问题

提出一种计及多重不确定性的小型园区多能源系统优化调度方法。首先

分析多能源系统中存在的多重不确定性因素;在此基础上

针对能源转换设备效率不确定性采用设备变工况特性模型进行表征

针对源荷不确定性采用离散化场景进行表征;然后

基于范数模糊集构建两阶段分布鲁棒优化模型

并采用列与约束生成算法进行求解;最后

对上海某智慧园区进行算例分析以验证所提方法的正确性及有效性。

Abstract

In order to solve the problem of uncertainties in the efficiency of energy conversion equipment

source-side and load-side in multi-energy system integrated with multiple energy modules

this paper proposed an optimal scheduling method for small-scale community multi-energy system considering multiple uncertainties. Firstly

the multiple uncertainties existing in the multi-energy system are analysed. On this basis

the off-design performance model of equipment is used to characterize the uncertainties in the efficiency of the energy conversion equipment

and the discretization scenario is used to characterize the uncertainties in the source-load uncertainties; then

a two-stage distribution robust optimization model is constructed based on the paradigm fuzzy set

and the column and constraints generating algorithm is used to solve the problem; Finally

a case study of a smart community in Shanghai is carried out to verify the correctness and effectiveness of the proposed method.

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references

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