Construction Method of Flexible Operation Domain for Renewable Energy Considering Potential Balance Risks of the System

QI Jie; WANG Jianxue; GONG Leteng; YANG Qian

doi:10.7652/xjtuxb202510004

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Construction Method of Flexible Operation Domain for Renewable Energy Considering Potential Balance Risks of the System

更新时间：2025-09-28

- Construction Method of Flexible Operation Domain for Renewable Energy Considering Potential Balance Risks of the System
- Journal of Xi'an Jiaotong University Vol. 59, Issue 10, Pages: 44-53(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202510004
  CLC： TM732
- Received：24 January 2025，
  
  Published：10 October 2025
- 稿件说明：
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QI Jie, WANG Jianxue, GONG Leteng, et al. Construction Method of Flexible Operation Domain for Renewable Energy Considering Potential Balance Risks of the System[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 44-53.
DOI：

QI Jie, WANG Jianxue, GONG Leteng, et al. Construction Method of Flexible Operation Domain for Renewable Energy Considering Potential Balance Risks of the System[J]. Journal of Xi'an Jiaotong University, 2025, 59(10): 44-53. DOI： 10.7652/xjtuxb202510004.

摘要

为适应海量运行场景下电力系统快速风险评估需求，研究灵活资源在电力电量平衡中的作用，引入新能源灵活运行域的概念，并提出了考虑系统潜在平衡风险的新能源灵活运行域构建方法。通过将难以解决的决策依赖不确定集，转化为决策独立不确定集，建立了考虑潜在平衡风险的双层鲁棒优化模型，上层模型旨在最小化预测场景下的运行成本与平衡风险，并得到新能源灵活运行域的上、下边界，下层模型在上层确定的运行域边界内，对系统最坏运行条件下的平衡状态进行校核，进而采用C&CG算法进行有效求解。测试结果表明，所提方法可以划定新能源随机性影响下系统的平衡风险边界，在多数时段，所得灵活运行域能涵盖99%可能出现的偏差，从而可辅助快速鉴别无风险的新能源运行方式，并对有风险的新能源运行方式给出不平衡时段和不平衡量的提示。此外，储能装置的引入可以增大新能源运行域，可有效提高系统的新能源消纳能力和对负荷供应能力，10%、20%、40%的储能容量分别为系统的新能源灵活运行域提供了1.93%、7.82%、10.44% 的增量。

Abstract

To meet the demand for rapid risk assessment in power systems under massive operational scenarios and investigate the role of flexible resources in power-energy balance

this study introduces the concept of flexible operation domain for renewable energy and proposes a construction method that accounts for the system's potential balance risks. By transforming the challenging decision-dependent uncertainty set into a decision-independent uncertainty set

a twolayer robust optimization model that considers potential balance risks is established. The upperlayer model aims to minimize operational costs and balance risks under forecasted scenarios while determining the upper and lower boundaries of the flexible operation domain for renewable energy. The lower-layer model verifies the system's worst-case balance conditions within the boundaries of the flexible operation domain for renewable energy derived from the upper layer. The C&CG algorithm is employed for effective solving. Case study results demonstrate that the proposed method can delineate the balance risk boundaries of the system under the impact of the randomness of new energy. The obtained flexible operation domain covers 99% of potential deviations in most time periods

thereby assisting in quickly identifying risk-free renewable energy operation modes and providing warnings about imbalanced time periods and quantities for risky operation modes. Furthermore

the introduction of energy storage devices can expand the flexible operation domain for renewable energy

effectively enhancing the system's renewable energy accommodation capability and load supply capacity. Storage capacities of 10%

20%

and 40% increase the flexible operation domain for renewable energy by 1.93%

7.82%

and 10.44%

respectively.

关键词

Keywords

references

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