考虑风电不确定性和旋转备用容量配置的综合能源系统鲁棒机会约束优化

张治; 董润楠; 魏振华; 高鑫涛

doi:10.19666/j.rlfd.202111253

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考虑风电不确定性和旋转备用容量配置的综合能源系统鲁棒机会约束优化

新能源发电技术专栏 | 更新时间：2025-09-28

- 考虑风电不确定性和旋转备用容量配置的综合能源系统鲁棒机会约束优化
- Robust chance-constrained optimization of integrated energy system considering wind power uncertainty and spinning reserve capacity allocation
- 热力发电 2022年51卷第6期页码：25-33
- 作者机构：
  
  1. 国核电力规划设计研究院有限公司
  2. 华北电力大学控制与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202111253
  中图分类号： TK01;TM73
- 纸质出版日期：2022
- 稿件说明：
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张治, 董润楠, 魏振华, 等. 考虑风电不确定性和旋转备用容量配置的综合能源系统鲁棒机会约束优化[J]. 热力发电, 2022,51(6):25-33.

ZHANG Zhi, DONG Runnan, WEI Zhenhua, et al. Robust chance-constrained optimization of integrated energy system considering wind power uncertainty and spinning reserve capacity allocation[J]. Thermal power generation, 2022, 51(6): 25-33.
张治, 董润楠, 魏振华, 等. 考虑风电不确定性和旋转备用容量配置的综合能源系统鲁棒机会约束优化[J]. 热力发电, 2022,51(6):25-33. DOI： 10.19666/j.rlfd.202111253.

ZHANG Zhi, DONG Runnan, WEI Zhenhua, et al. Robust chance-constrained optimization of integrated energy system considering wind power uncertainty and spinning reserve capacity allocation[J]. Thermal power generation, 2022, 51(6): 25-33. DOI： 10.19666/j.rlfd.202111253.

摘要

风电出力的随机性和波动性给综合能源系统带来极大挑战。为此，提出基于风电不确定性分析和广义储能备用的鲁棒机会约束优化模型。首先，采用拉丁超立方采样和模糊c均值聚类算法对风电出力进行不确定性分析；其次，引入广义储能优化旋转备用容量，以应对风电出力不确定性；然后，以运行成本最低为目标建立将随机规划和鲁棒优化相结合的鲁棒机会约束优化模型，客观处理综合能源系统运行中风电出力的不确定性；最后，经改进的IEEE 39节点电力系统、天然气系统与热网系统组成的综合能源系统验证，该模型能够在保证系统鲁棒性的同时，提高了系统的经济性。

Abstract

The randomness and volatility of wind power output brings great challenges to optimization of integrated energy systems. To this end

a robust opportunity-constrained optimization model based on wind power uncertainty analysis and generalized energy storage reserve is proposed. Firstly

Latin hypercube sampling and fuzzy C-means clustering algorithm is used to analyze wind power output uncertainty. Secondly

the generalized energy storage is introduced to optimize spinning reserve capacity to deal with the uncertainty of wind power output. Then

by taking the minimum operation cost as the goal

a robust chance-constrained optimization model that combines stochastic programming and robust optimization is established to objectively deal with the uncertainty of wind power output in the operation and scheduling of integrated energy systems. Finally

after verification of the comprehensive energy system consituting the improved IEEE 39-bus power system

natural gas system and heating network system

the model can ensure the robustness of the system while improving the economy.

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