考虑多能负荷不确定性的区域综合能源系统鲁棒规划

SHEN Xinwei

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考虑多能负荷不确定性的区域综合能源系统鲁棒规划

更新时间：2025-08-13

- 考虑多能负荷不确定性的区域综合能源系统鲁棒规划
- Automation of Electric Power Systems Vol. 43, Issue 7, Pages: 34-41(2019)
- 作者机构：
  
  清华-伯克利深圳学院, 清华大学,广东省,深圳市,518055
- 作者简介：
- 基金信息：
- DOI：
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- Published：2019
- 稿件说明：
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SHEN Xinwei. [J]. Automation of electric power systems, 2019, 43(7): 34-41.
DOI：

SHEN Xinwei. [J]. Automation of electric power systems, 2019, 43(7): 34-41. DOI：

摘要

提出了一种考虑冷电热多能负荷不确定性的区域综合能源系统鲁棒规划方法。基于能源集线器(energy hub，EH)模型，建立了含冷电热三联供、燃气锅炉、集中式制冷站在内的区域综合能源系统模型；根据历史/预测年8 760 h多能负荷数据，通过k-means聚类分群方法得到多个典型日负荷场景，以上下界区间描述负荷不确定性，形成鲁棒规划模型；将相应鲁棒规划模型等价转化、形成子问题为凸的混合整数规划模型求解。算例结果证明了该规划方法的有效性，同时体现了综合能源系统多能互补集成优化效益。

Abstract

A robust planning method for regional integrated energy system(RIES)is proposed in this paper

in which electric/cooling/heating load uncertainties are considered. Based on energy hub(EH)model

a regional IES planning model including combined cooling

heating and power(CCHP)

gas boiler

centralized cooling station is formulated. Several typical daily load curves are obtained by k-means data clustering method based on historical/predicting annual load profile of 8 760 hours. The load uncertainties are described by adaptive upper and lower bounds

thus a robust planning model can be achieved. Furthermore

the model can be equivalently recast as a mixed integer planning model

in which the sub-problem is convex. The case studies demonstrate the effectiveness of the proposed method

as well as the benefits of IES in optimization and coordinations between multi-energy systems.

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