Interval Optimal Dispatch of Urban Integrated Energy System Considering the Flexibility

Xuan SHENG; Shunjiang LIN; Weikun LIANG; Yuerong YANG; Mingbo LIU

doi:10.13334/j.0258-8013.pcsee.240167

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Interval Optimal Dispatch of Urban Integrated Energy System Considering the Flexibility

Collaborative Regulation and Interactive Trading of Urban Integrated Energy System | 更新时间：2026-02-06

- Interval Optimal Dispatch of Urban Integrated Energy System Considering the Flexibility
- Proceedings of the CSEE Vol. 45, Issue 10, Pages: 3723-3736(2025)
- 作者机构：
  
  华南理工大学电力学院, 广东省广州市 510640
- 作者简介：
- 基金信息：
  
  Natural Science Foundation of China(51977080);Guangdong Basic and Applied Basic Research Foundation(2023A1515240075);Guangdong Basic and Applied Basic Research Foundation(2024B1515250007)
- DOI：10.13334/j.0258-8013.pcsee.240167
  CLC： TM73
- Received：23 January 2024，
  
  Online First：20 May 2024，
  
  Published：20 May 2025
- 稿件说明：
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Xuan SHENG, Shunjiang LIN, Weikun LIANG, et al. Interval Optimal Dispatch of Urban Integrated Energy System Considering the Flexibility[J]. Proceedings of the CSEE, 2025, 45(10): 3723-3736.
DOI：

Xuan SHENG, Shunjiang LIN, Weikun LIANG, et al. Interval Optimal Dispatch of Urban Integrated Energy System Considering the Flexibility[J]. Proceedings of the CSEE, 2025, 45(10): 3723-3736. DOI： 10.13334/j.0258-8013.pcsee.240167.

摘要

城市综合能源系统(urban integrated energy system，UIES)作为城市能源生产、运输、消费的载体，其运行中需要具备充足的灵活性来应对各种不确定波动。从灵活性的定义出发，该文提出基于不确定量波动范围的灵活性调度指标。为降低传统区间数在描述不确定量时由于概率信息丢失而导致的决策保守性，提出采用考虑相关性的多带区间数(multi-band interval number，MBIN)描述不确定量的方法，并通过历史数据和插值法得到连续的累积分布函数。提出以运行成本最小和可容纳室外温度和光照强度不确定波动范围最大的UIES多目标区间优化调度模型。采用区间可能度方法处理含有传统区间数和考虑相关性的MBIN的约束条件，将原问题转化为确定性多目标混合整数线性规划问题。通过一种直接求解多目标优化问题折中最优解的方法，将此问题进一步转化为可以高效求得折中最优解的单目标混合整数线性规划问题。最后，通过一个含有农业-工业-商业园区的实际UIES的算例分析，结果验证所提出模型和求解方法的正确有效性。

Abstract

As a carrier of urban energy generation

transport and consumption

the urban integrated energy system(UIES) requires sufficient flexibility in its operation to balance various uncertain fluctuations. A flexibility index for dispatch based on the fluctuation range of uncertainty is proposed from the definition of flexibility. To reduce the decision conservatism of using traditional interval numbers to describe uncertainties due to the loss of probabilistic information

a multi-band interval number(MBIN) considering correlation is proposed to describe the uncertainties. A continuous cumulative distribution function is obtained from the historical data and interpolation method. A multi-objective interval optimization dispatch model for UIES is proposed to minimize the operating cost and maximize the available uncertain fluctuation range of outdoor temperature and illumination intensity. The interval possibility method is used to handle the constraints containing traditional interval numbers and MBIN considering correlation

and transforms the original model into a deterministic multi-objective mixed-integer linear optimization model. Using a method for directly solving the compromise optimal solution of the multi-objective optimization problem

the model is further transformed into a single-objective mixed-integer linear programming model

which can be solved efficiently. Finally

an actual UIES with agricultural-industrial-commercial campus case is analyzed

and the computational results validate the effectiveness of the proposed model and solution method.

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Keywords

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