考虑条件风险价值的电-气综合能源系统风险厌恶机组组合研究

王春晓 1; 严超 1; 张耀 1; 别朝红 1; 3; 谢海鹏 1; 2; 3

doi:10.7652/xjtuxb202006003

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考虑条件风险价值的电-气综合能源系统风险厌恶机组组合研究

更新时间：2025-07-09

- 考虑条件风险价值的电-气综合能源系统风险厌恶机组组合研究
- CVaR Based Risk-Averse Unit Commitment of Integrated Electricity and Natural Gas System
- 西安交通大学学报 2020年54卷第6期页码：17-27
- 作者机构：
  
  1. 西安交通大学电气设备电力绝缘国家重点实验室,西安,710049
  2. 西安交通大学陕西省智能电网重点实验室,西安,710049
  3. 西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2019-11-21。作者简介: 王春晓(1996—),男,硕士生;别朝红(通信作者),女,教授,博士生导师。基金项目: 国家自然科学基金资助项目(51637008,51607136);国家重点研发计划资助项目(2016YFB0901900)
- DOI：10.7652/xjtuxb202006003
  中图分类号： TM76
- 网络首发：2020-06-10，
  
  纸质出版：2020
- 稿件说明：
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王春晓 1, 严超 1, 张耀 1, 等. 考虑条件风险价值的电-气综合能源系统风险厌恶机组组合研究[J]. 西安交通大学学报, 2020,54(6):17-27.

CVaR Based Risk-Averse Unit Commitment of Integrated Electricity and Natural Gas System
[J]. 2020, 54(6): 17-27. DOI: 10.7652/xjtuxb202006003.
王春晓 1, 严超 1, 张耀 1, 等. 考虑条件风险价值的电-气综合能源系统风险厌恶机组组合研究[J]. 西安交通大学学报, 2020,54(6):17-27. DOI： 10.7652/xjtuxb202006003.

CVaR Based Risk-Averse Unit Commitment of Integrated Electricity and Natural Gas System
[J]. 2020, 54(6): 17-27. DOI: 10.7652/xjtuxb202006003. DOI：

摘要

为应对新能源不确定性带来的综合能源系统运行风险

选择合理的机组组合策略平衡综合能源系统的运行风险与运行费用

建立风险厌恶电-气综合能源系统机组组合模型。在电-气综合能源系统的机组组合中引入条件风险价值

分别描述电力系统和天然气系统的负荷损失风险

分析电力系统与天然气系统的运行风险和两系统间的相互影响。利用分段线性化技术对天然气流量方程进行线性化

通过Benders分解算法将模型分解为机组组合主问题、分场景子问题和天然气负荷损失风险校验问题

对所提模型进行高效求解。算例仿真结果表明

所提模型与传统模型相比可以有效减少小概率极端场景的电力负荷损失

算例中最严重场景负荷损失从34.62 MW减少到9.59 MW。所提模型可以协调电力负荷损失风险和天然气负荷损失风险

为电-气综合能源系统的协调调度提供参考。

Abstract

To deal with the operational risks of integrated electricity and natural gas system brought about by uncertainty of new energy sources

this approach selects a reasonable unit commitment strategy to balance the operational risks and operating costs of the integrated energy system

and constructs a risk-averse integrated energy system unit commitment model. Conditional value-at-risk(CVaR)is introduced into the unit commitment of the integrated energy system to describe the load loss risk of the power system and the natural gas system. The operational risk of the power system and the natural gas system

and mutual influence between them are analy-ed. The piecewise lineari-ation technique is used to lineari-e the natural gas flow equation

and the model is decomposed into the main unit commitment problem

sub-problems for sub-scenario and natural gas load loss risk verification problems by the Benders decomposition algorithm. Compared with the traditional model

the proposed one can effec

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