面向沙戈荒新能源大基地的煤电灵活性改造与储能协同配置研究

杨怡林; 樊艳芳; 侯俊杰; 潘王杰

doi:10.19799/j.cnki.2095-4239.2026.0654

您当前的位置：

首页 >

文章列表页 >

面向沙戈荒新能源大基地的煤电灵活性改造与储能协同配置研究

XXXX | 更新时间：2026-09-17

- 面向沙戈荒新能源大基地的煤电灵活性改造与储能协同配置研究
- Coordinated Configuration of Coal-Fired Power Flexibility Retrofit and Energy Storage for Large-Scale Renewable Energy Bases in Desert, Gobi, and Barren Areas
- 储能科学与技术 2026年页码：1-15
- 作者机构：
  
  新疆大学电气工程学院，新疆维吾尔自治区，乌鲁木齐市 830017
- 作者简介：
  
  杨怡林（2002—），男，硕士研究生，研究方向为新能源电力系统优化运行与储能配置，E-mail：19927978234@163.com；
  樊艳芳（1971—），女，硕士，教授，研究方向为新型电力系统规划与稳定分析，E-mail：fyf3985@xju.edu.cn。
- 基金信息：
  
  新疆维吾尔自治区重大科技专项课题(2025A01006-4)
- DOI：10.19799/j.cnki.2095-4239.2026.0654
  中图分类号： TK 02
- 收稿：2026-07-27，
  
  修回：2026-08-19，
  
  网络首发：2026-09-16，
- 稿件说明：
移动端阅览
杨怡林, 樊艳芳, 侯俊杰, 等. 面向沙戈荒新能源大基地的煤电灵活性改造与储能协同配置研究[J]. 储能科学与技术, XXXX, XX(XX): 1-15.

YANG YILIN, FAN YANFANG, HOU JUNJIE, et al. Coordinated Configuration of Coal-Fired Power Flexibility Retrofit and Energy Storage for Large-Scale Renewable Energy Bases in Desert, Gobi, and Barren Areas[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-15.
杨怡林, 樊艳芳, 侯俊杰, 等. 面向沙戈荒新能源大基地的煤电灵活性改造与储能协同配置研究[J]. 储能科学与技术, XXXX, XX(XX): 1-15. DOI： 10.19799/j.cnki.2095-4239.2026.0654.

YANG YILIN, FAN YANFANG, HOU JUNJIE, et al. Coordinated Configuration of Coal-Fired Power Flexibility Retrofit and Energy Storage for Large-Scale Renewable Energy Bases in Desert, Gobi, and Barren Areas[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-15. DOI： 10.19799/j.cnki.2095-4239.2026.0654.

摘要

针对高比例风光外送场景中净负荷存在多时间尺度灵活性需求，且单一调节资源难以兼顾响应速度、调节功率与持续时间的问题，提出一种煤电灵活性改造与混合储能协同配置方法。首先，采用加权多尺度形态滤波（WMMF）方法将净负荷分解为短时、中时和长时分量，并分别以爬坡速率、功率幅值和调节电量量化各时间尺度下的调节压力；其次，构建计及低负荷运行区间、深度调峰持续时间、爬坡能力衰减及附加运行成本的煤电灵活性改造模型，并建立未改造煤电、煤电灵活性改造、功率响应型储能（PE）和日内能量调节型储能（IE）协同容量优化模型。最后，以新疆某风电装机容量为7000 MW、光伏装机容量为3000 MW的新能源大基地为例，设置不同资源组合方案进行对比分析。算例表明：净负荷最大上、下爬坡速率分别为1872.3 MW/min和1966.5 MW/min，中时峰谷差为4618.3 MW，长时正、负向调节电量分别为402.64万 MWh/a和274.26万 MWh/a，说明基地存在多尺度调节需求；四种资源组合的对比结果表明，煤电灵活性改造与PE、IE协同配置方案能够较好兼顾弃电率、系统成本、供电可靠性和多尺度调节压力改善效果，综合性能最优。研究结果表明，PE、灵活性改造煤电和IE分别承担短时快速响应、中时持续调节和长时能量搬移任务，三者协同能有效提升新能源消纳水平与多时间尺度调节能力。

Abstract

To address the multi-timescale flexibility requirements of net load in high-penetration wind–solar power export scenarios

where a single regulation resource cannot simultaneously satisfy the requirements for response speed

regulation power

and duration

a coordinated configuration method for coal-fired power flexibility retrofitting and hybrid energy storage is proposed. First

a weighted multi-scale morphological filter (WMMF) decomposes the net load into short-term

medium-term

and long-term components

and quantifies the regulation pressure at each timescale using ramping rate

power amplitude

and regulation energy

respectively. Second

a coal-fired power flexibility retrofitting model is developed considering low-load operating ranges

deep peak-shaving duration

ramping capability degradation

and additional operating costs. A coordinated capacity optimization model is then established for unretrofitted coal-fired power

flexibility-retrofitted coal-fired power

power-responsive energy storage (PE)

and intraday energy-regulation energy storage (IE). Finally

a large renewable energy base in Xinjiang with 7

000 MW of wind power and 3

000 MW of photovoltaic capacity is used as a case study

and different resource combination schemes are compared. The case results show that the maximum upward and downward ramping rates of the net load are 1

872.3 MW/min and 1

966.5 MW/min

respectively; the medium-term peak-to-valley difference is 4

618.3 MW; and the long-term positive and negative regulation energies are 4.0264 million MWh/a and 2.7426 million MWh/a

respectively

indicating that the base has multi-timescale regulation requirements. Comparisons among the four resource combinations show that the coordinated configuration of flexibility-retrofitted coal-fired power

and IE better balances the renewable energy curtailment rate

system cost

power supply reliability

and mitigation of multi-timescale regulation pressure

thereby achieving the best overall performance. The research results show that PE

flexibility-modified coal power

and IE respectively undertake the tasks of short-term rapid response

medium-term continuous regulation

and long-term energy transfer. The synergy of these three can effectively enhance the level of new energy consumption and the multi-time-scale regulation capability.

关键词

Keywords

references

董昱, 孙大雁, 许丹, 等. 新型电力系统电力电量平衡的挑战、应对与展望[J]. 中国电机工程学报, 2025, 45(6): 2039-2057.

DONG Yu, SUN Dayan, XU Dan, et al. Challenges, Countermeasures and Prospects of Power and Energy Balance in New-Type Power Systems[J]. Proceedings of the CSEE, 2025, 45(6): 2039-2057.

玄东旭, 樊艳芳, 侯俊杰, 等. 适用于直流汇集型风电场送出系统的双极DC/DC变换器及其短路限流[J]. 高电压技术, 2025, 51(2): 605-618.

XUAN Dongxu, Fan Yanfang, Hou Junjie, et al. Bipolar DC/DC converter and its short-circuit current limiting method for DC collection-based wind farm transmission systems[J]. High Voltage Engineering, 2025, 51(2): 605-618.

刘君怡, 樊艳芳, 白雪岩, 等. 基于FTA-NSMC法的风电场直流汇集系统可靠性评估[J]. 智慧电力, 2025, 53(1): 82-89.

LIU Junyi, Fan Yanfang, Bai Xueyan, et al. Reliability assessment of wind farm DC collection systems based on FTA-NSMC method[J]. Smart Power, 2025, 53(1): 82-89.

Ren G, Liu J, Wan J, et al. Investigating the complementarity characteristics of wind and solar power for load matching based on the typical load demand in China[J]. IEEE Transactions on Sustainable Energy, 2021, 13(2): 778-790.

杨胜, 樊艳芳, 侯俊杰, 等. 可再生能源ALK-PEM联合制氢系统多时间尺度优化运行策略[J]. 电力系统保护与控制, 2025, 53(3): 68-80.

Yang Sheng, Fan Yanfang, Hou Junjie, et al. Multi-time-scale optimal operation strategy of renewable energy ALK-PEM coupled hydrogen production system[J]. Power System Protection and Control, 2025, 53(3): 68-80.

王永利, 郭文慧, 李雨洋, 等. 新型电力系统背景下煤电机组容量补偿电价核算[J]. 电力建设, 2025, 46(2): 180-192.

WANG Yongli, GUO Wenhui, LI Yuyang, et al. Calculation of Capacity Compensation Tariff for Coal-Fired Power Units under the Background of New-Type Power Systems[J]. Electric Power Construction, 2025, 46(2): 180-192.

武文博, 周明, 杨瑞亮, 等. 计及煤电功能转型的电力系统源-储协同演化规划方法[J/OL]. 电网技术, 1-13.WU Wenbo, ZHOU Ming, YANG Ruiliang, et al. Source-Storage Coordinated Evolution Planning Method for Power Systems Considering the Functional Transformation of Coal Power[J/OL]. Power System Technology: 1-13.

余佳泉, 樊艳芳, 侯俊杰, 等. 基于旋转备用的虚拟电厂调度边界动态分析方法[J]. 智慧电力, 2025, 53(7): 45-52.

Yu Jiaqian, Fan Yanfang, Hou Junjie, et al. Dynamic analysis method of virtual power plant scheduling boundary based on spinning reserve[J]. Smart Power, 2025, 53(7): 45-52.

赵娟, 李秉晨, 王喆, 等. 基于BMW和TOPSIS的新型储能场景适用性评价[J]. 储能科学与技术, 2025, 14(1): 443-455.

Zhao Juan, Li Bingchen, Wang Zhe, et al. Applicability evaluation of new energy storage scenarios based on BMW and TOPSIS[J]. Energy Storage Science and Technology, 2025, 14(1): 443-455.

Li K, Ke X, Cui L, et al. Load regulation capability enhancement of a coal-fired power unit integrated with renewable energy and flexible energy storage[J]. Fuel, 2026, 422: 139159.

魏震波, 姚怡欣, 张雯雯, 等. 基于完备集合经验模态分解的含抽蓄微电网混合储能容量优化配置[J]. 储能科学与技术, 2023, 12(11): 3414-3424.

Wei Zhenbo, Yao Yixin, ZHANG Wenwen, et al. Capacity optimization configuration of hybrid energy storage system in microgrid with pumped storage based on complete ensemble empirical mode decomposition[J]. Energy Storage Science and Technology, 2023, 12(11): 3414-3424.

Zhang S, Zhang Y, Li S. Multi-timescale available flexibility assessment of integrated energy systems considering different proportions of wind power installations[J]. Frontiers in Energy Research, 2024, 12: 1377358.

詹勋淞, 管霖, 卓映君, 等. 基于形态学分解的大规模风光并网电力系统多时间尺度灵活性评估[J]. 电网技术, 2019, 43(11): 3890-3901.

ZHAN Xunsong, GUAN Lin, ZHUO Yingjun, et al. Multi-timescale Flexibility Assessment of Large-Scale Wind and Solar Grid-Connected Power Systems Based on Morphological Decomposition[J]. Power System Technology, 2019, 43(11): 3890-3901.

章枫, 樊恒建, 邓晖, 等. 基于数学形态学的电力系统灵活调节能力充裕度分析[J]. 中国电力, 2025, 58(3): 43-54.

ZHANG Feng, FAN Hengjian, DENG Hui, et al. Analysis of Power System Flexibility Regulation Adequacy Based on Mathematical Morphology[J]. Electric Power, 2025, 58(3): 43-54.

于志辉, 赵志鹏, 王进, 等. 面向灵活调节与低碳经济运行的风光水火多源多目标短期调度[J]. 电网技术, 2025, 49(8): 3104-3115.

YU Zhihui, ZHAO Zhipeng, WANG Jin, et al. Multi-source and Multi-objective Short-term Dispatch of Wind-PV-Hydro-Thermal Power for Flexible Regulation and Low-carbon Economic Operation[J]. Power System Technology, 2025, 49(8): 3104-3115.

Na C, Pan H, Zhu Y, et al. The flexible operation of coal power and its renewable integration potential in China[J]. Sustainability, 2019, 11(16): 4424.

张立伟, 冯任卿, 张毓清, 等. 考虑火电灵活性改造及深度调峰的风光火储系统容量优化配置[J]. 现代电力, 2025, 42(4): 722-733.

ZHANG Liwei, FENG Renqing, ZHANG Yuqing, et al. Optimal Configuration of Wind-Solar-Thermal-Storage System Capacity Considering Flexible Reconstruction of Thermal Power and Deep Peak Shaving[J]. Modern Electric Power, 2025, 42(4): 722-733.

严新荣, 胡志勇, 张鹏威, 等. 煤电机组运行灵活性提升技术研究与应用[J]. 发电技术, 2024, 45(06): 1074-1086.

YAN Xinrong, HU Zhiyong, ZHANG Pengwei, et al. Research and Application of Operation Flexibility Improvement Technology for Coal-Fired Power Unit[J]. Power Generation Technology, 2024, 45(06): 1074-1086.

Wang C, Chen F, Xu P, et al. Dynamic simulation of a subcritical coal-fired power plant with the emphasis on flexibility[J]. Applied Energy, 2025, 392: 125976.

罗逸夫, 胡秦然, 钱涛, 等. 计及多工况对机组寿命损耗影响的机组组合优化模型[J]. 上海交通大学学报, 2025, 59(6): 768-779.

LUO Yifu, HU Qinran, QIAN Tao, et al. Unit Commitment Optimization Model Considering the Impact of Multiple Operating Conditions on Unit Life Loss[J]. Journal of Shanghai Jiao Tong University, 2025, 59(6): 768-779.

陈昕奕, 柳璐, 张啸虎, 等. 典型与极端场景下考虑煤电机组转型的灵活性资源协同规划[J]. 中国电机工程学报, 2025, 45(23): 9099-9112.

CHEN Xinyi, LIU Lu, ZHANG Xiaohu, et al. Collaborative Planning of Flexible Resources Considering the Transformation of Coal-Fired Units in Typical and Extreme Scenarios[J]. Proceedings of the CSEE, 2025, 45(23): 9099-9112.

王菲, 贾冰洋, 宋先琦. 基于储能技术的燃煤机组灵活性改造应用研究[J]. 太阳能学报, 2026, 47(5): 515-523.

WANG Fei, JIA Bingyang, SONG Xianqi. Application Research on Flexibility Retrofit of Coal-Fired Power Units Based on Energy Storage Technology[J]. Acta Energiae Solaris Sinica, 2026, 47(5): 515-523.

刘婧宇, 周明, 武昭原, 等. 低碳转型下煤电多路径改造与新能源组合决策方法[J]. 电网技术, 2025, 49(6): 2208-2218.

LIU Jingyu, ZHOU Ming, WU Zhaoyuan, et al. Decision Method for Portfolio of Coal-Fired Power Plants Multipath Reformation and Renewable Energy Under Decarbonization[J]. Power System Technology, 2025, 49(6): 2208-2218.

季玉琦, 严亚帮, 和萍, 等. 基于K-Medoids聚类与栅格法提取负荷曲线特征的CNN-LSTM短期负荷预测[J]. 电力系统保护与控制, 2023, 51(18): 81-93.

JI Yuqi, YAN Yabang, HE Ping, et al. CNN-LSTM Short-Term Load Forecasting Based on the K-Medoids Clustering and Grid Method to Extract Load Curve Features[J]. Power System Protection and Control, 2023, 51(18): 81-93

Li Y, Zhong W, Liu X, et al. Combustion characteristics and instability mechanisms of the pulverized coal jet with low loads[J]. Powder Technology, 2025: 121552.

郭东泽, 张继红, 王庆宇, 等. 平抑风电出力波动的混合储能功率分配策略[J]. 储能科学与技术, 2024, 13(5): 1564-1573.

Guo Dongze, ZHANG Jihong, Wang Qingyu, et al. Power allocation strategy of hybrid energy storage system for smoothing wind power output fluctuations[J]. Energy Storage Science and Technology, 2024, 13(5): 1564-1573.

周磊. 可再生能源高渗透率的配网系统储能多场景优化配置[D]. 合肥工业大学, 2018.ZHOU Lei. Multi scenario optimization configuration of energy storage in distribution network systems with high penetration rate of renewable energy[D]. Hefei University of Technology, 2018.

Nycander E, Morales-España G, Söder L. Capacity and intra-hour ramp reserves for wind integration[J]. IEEE Transactions on Sustainable Energy, 2022, 13(3): 1430-1443.

Rosenkranz J B, Martinez-Anido C B, Hodge B M. Analyzing the impact of solar power on multi-hourly thermal generator ramping[C]//2016 IEEE green technologies conference (GreenTech). IEEE, 2016: 153-158.

冯艺萱, 边晓燕, 陈雯, 等. 新型电力系统灵活性资源成本回收机制分析及挑战[J]. 电工技术学报, 2025, 40(21): 7013-7028.

FENG Yixuan, BIAN Xiaoyan, CHEN Wen, et al. Analysis and Challenges of Cost Recovery Mechanisms for Flexibility Resources in New-Type Power Systems[J]. Transactions of China Electrotechnical Society, 2025, 40(21): 7013-7028.

张成凤, 朱轶林, 胡东子, 等. 火-储耦合系统深度调峰综合经济性分析[J]. 储能科学与技术, 2024, 13(10): 3693-3705.

ZHANG Chengfeng, ZHU Yilin, HU Dongzi, et al. Comprehensive economic analysis of deep peak shaving in thermal power-heat storage coupling systems[J]. Energy Storage Science and Technology, 2024, 13(10): 3693-3705.

刘阳, 滕卫军, 谷青发等. 规模化多元电化学储能度电成本及其经济性分析[J]. 储能科学与技术, 2023, 12(01): 312-318.

LIU Yang, TENG Weijun, GU Qingfa, et al. Scaled-up diversified electrochemical energy storage LCOE and its economic analysis[J].Energy Storage Science and Technology, 2023, 12(01): 312-318.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

复合型添加剂对全钒液流电池电解液影响的研究

水系锌碘电池聚合物电解液制备及其电化学性能研究

X射线断层扫描技术在电池失效分析中的应用

基于TPE贝叶斯算法的动力电池滴落接触式液冷流道优化

基于储能技术的铁路新型牵引供电关键技术研究