Day-ahead optimal operation of building integrated energy system considering source and load uncertainty

翟晶晶; 冷 昕; 李承澳; 傅质馨

doi:10.3969/j.issn.1009-1831.2025.05.011

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Day-ahead optimal operation of building integrated energy system considering source and load uncertainty

更新时间：2026-03-05

- Day-ahead optimal operation of building integrated energy system considering source and load uncertainty
- Vol. 27, Issue 5, (2025)
- 作者机构：
  
  1. 南京工程学院电力工程学院,南京,211167
  2. 河海大学电气与动力工程学院,南京,211100
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.05.011
  CLC：
- Published：2025
- 稿件说明：
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翟晶晶, 冷昕, 李承澳, et al. Day-ahead optimal operation of building integrated energy system considering source and load uncertainty[J]. 2025, 27(5).
DOI：

翟晶晶, 冷昕, 李承澳, et al. Day-ahead optimal operation of building integrated energy system considering source and load uncertainty[J]. 2025, 27(5). DOI： 10.3969/j.issn.1009-1831.2025.05.011.

摘要

针对楼宇综合能源系统在优化运行过程中面临源-荷两端随机波动等挑战，考虑源-荷不确定性因素的影响，提出一种基于模糊机会约束规划的楼宇综合能源系统日前优化方法。首先，基于楼宇综合能源系统设备模型，建立楼宇综合能源系统日前优化运行模型；其次，考虑楼宇系统光伏及电、冷、热负荷不确定性的影响，基于模糊隶属度函数，采用模糊机会约束的形式表征源-荷不确定性，提出基于模糊机会约束规划的楼宇综合能源系统日前优化运行模型，并采用清晰等价类方法进行转化求解。最后，通过算例分析验证了所提方法的有效性。

Abstract

Aiming at the challenges of stochastic fluctuation at both source-load terminals in the optimization operation process of integrated building energy system

considering the influence of source-load uncertainty factors

a day-ahead optimization method for integrated building energy system based on fuzzy chance-constrained programming is proposed. Firstly

based on the equipment model of the integrated building energy system

the day-ahead optimal operation model of the integrated building energy system is established. Secondly

considering the influence of the uncertainty of photovoltaic and electricity

cooling and heat loads in the building system

the uncertainty of source-load is represented in the form of fuzzy chance constraint based on fuzzy membership function

and the day-ahead optimization operation model of building integrated energy system based on fuzzy chance constraint programming is proposed

and the clear equivalence class method is used to transform and solve the model. Finally

the effectiveness of the proposed method are verified by an example analysis.

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