Optimal Operation and Frequency Regulation Control Strategy for Wind and Pumped Storage Unit Combined System Based on Dynamic Deloading

Xinyuan LIU; Shuqiang ZHAO; Jinhao WANG; Liming BO; Yongqiang HU; Zhiwei LI

doi:10.19725/j.cnki.1007-2322.2023.0109

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Optimal Operation and Frequency Regulation Control Strategy for Wind and Pumped Storage Unit Combined System Based on Dynamic Deloading

New Energy Power System | 更新时间：2025-10-13

- Optimal Operation and Frequency Regulation Control Strategy for Wind and Pumped Storage Unit Combined System Based on Dynamic Deloading
- Modern Electric Power Vol. 42, Issue 2, Pages: 238-246(2025)
- 作者机构：
  
  1.国网山西省电力公司电力科学研究院, 山西省太原市 030001
  2.河北省分布式储能与微网重点实验室(华北电力大学), 河北省保定市 071003
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0109
  CLC： TM73
- Received：26 March 2023，
  
  Accepted：11 May 2023，
  
  Published：10 April 2025
- 稿件说明：
移动端阅览
Xinyuan LIU, Shuqiang ZHAO, Jinhao WANG, et al. Optimal Operation and Frequency Regulation Control Strategy for Wind and Pumped Storage Unit Combined System Based on Dynamic Deloading[J]. Modern electric power, 2025, 42(2): 238-246.
DOI：

Xinyuan LIU, Shuqiang ZHAO, Jinhao WANG, et al. Optimal Operation and Frequency Regulation Control Strategy for Wind and Pumped Storage Unit Combined System Based on Dynamic Deloading[J]. Modern electric power, 2025, 42(2): 238-246. DOI： 10.19725/j.cnki.1007-2322.2023.0109.

摘要

双碳目标背景下，新能源渗透率逐年升高，其出力随机波动性给电力系统频率安全稳定带来严峻挑战。从调度层面考虑新能源机组主动参与调频、与储能联合参与调频是新型电力系统演进的重要途径。对此，基于风电功率备用控制方法，提出了全风况下风电动态减载控制策略，量化了不同风况的调频容量供应能力。结合抽水蓄能机组不同工况下的调频特性，以机会约束形式表征了风电出力与负荷波动的不确定性并设置系统调频备用约束，建立基于动态减载的风蓄联合优化运行模型，提出了不同工况下风蓄联合调频控制策略，通过算例验证了所提策略能够在保证系统频率安全的前提下，促进风电消纳，提高风蓄联合系统的经济性。

Abstract

Under the dual carbon target

the penetration rate of renewable energy sources is increasing year by year. However

the random fluctuation of their output poses great challenges to the frequency security and stability of the power system. Enabling active participation of the renewable energy sources unit in frequency regulation and their joint participation with energy storage is an important way for the evolution of the novel power system from the perspective of dispatching. To address this issue

a wind turbine dynamic deloading control strategy was proposed based on the wind power reserve control method which quantifies the frequency control capacity supply under different wind conditions. By combining the frequency regulation characteristics of the pumped storage unit under various operating conditions

characterizing the uncertainty of wind power and load fluctuations in the form of chance constraints and setting system frequency regulation reserve constraints

a wind-storage joint optimization operation model based on dynamic deloading was established

and various wind-storage joint frequency control strategies were proposed. Numerical examples demonstrate that the proposed method can promote the consumption of wind power and optimizes the economic viability of wind storage combined systems while ensuring system frequency safety as well.

关键词

Keywords

references

李政, 陈思源, 董文娟, 等. 碳约束条件下电力行业低碳转型路径研究[J]. 中国电机工程学报, 2021, 41(12): 3987−4000.

LI Zheng, CHEN Siyuan, DONG Wenjuan, et al . Low carbon transition pathway of power sector under carbon emission constraints[J ] . Proceedings of the CSEE, 2021, 41(12): 3987−4000(in Chinese).

唐西胜, 苗福丰, 齐智平, 等. 风力发电的调频技术研究综述[J]. 中国电机工程学报, 2014, 34(25): 4304−4314.

TANG Xisheng, MIAO Fufeng, QI Zhiping, et al . Survey on frequency control of wind power[J ] . Proceedings of the CSEE, 2014, 34(25): 4304−4314(in Chinese).

张武其, 文云峰, 迟方德, 等. 电力系统惯量评估研究框架与展望[J]. 中国电机工程学报, 2021, 41(20): 6842−6855.

ZHANG Wuqi, WEN Yunfeng, CHI Fangde, et al . Research framework and prospect on power system inertia estimation[J ] . Proceedings of the CSEE, 2021, 41(20): 6842−6855(in Chinese).

YE Y, QIAO Y, LU Z. Revolution of frequency regulation in the converter-dominated power system[J]. Renewable and Sustainable Energy Reviews, 2019, 111: 145−156.

National Grid Eso. Technical report on the events of 9 August 2019[R]. National Grid Eso, 2019.

王伟胜, 林伟芳, 何国庆, 等. 美国得州 2021 年大停电事故对我国新能源发展的启示[J]. 中国电机工程学报, 2021, 41(21): 4033−4042.

WANG Weisheng, LIN Weifang, HE Guoqing, et al . Enlightenment of 2021 Texas blackout to the renewable energy development in China[J ] . Proceedings of the CSEE, 2021, 41(21): 4033−4042(in Chinese).

鲁宗相, 姜继恒, 乔颖, 等. 新型电力系统广义惯量分析与优化研究综述[J]. 中国电机工程学报, 2023, 43(05): 1754−1776.

LU Zongxiang, JIANG Jiheng, QIAO Ying, et al . A review on generalized inertia analysis and optimization of new power systems[J ] . Proceedings of the CSEE, 2023, 43(05): 1754−1776(in Chinese).

周海强, 鲁锦文, 薛峰, 等. 计及风电综合惯性控制的电力系统扩展频率响应模型[J/OL]. 电力系统自动化: 1-12[2023-03-22]. http://kns.cnki.net/kcms/detail/32.1180.tp.20230220.1829.006.html.

ZHOU Haiqiang, LU Jinwen, XUE Feng, et al. Extended frequency response model for power system considering wind power synthetic inertia control[J/OL]. Automation of Electric Power Systems. 1-12[2023-03-22]. http://kns.cnki.net/kcms/detail/32.1180.tp.20230220.1829.006.html.

付媛, 王毅, 张祥宇, 等. 变速风电机组的惯性与一次调频特性分析及综合控制[J]. 中国电机工程学报, 2014, 34(27): 4706−4716.

FU Yuan, WANG Yi, ZHANG Xiangyu, et al . Analysis and integrated control of inertia and primary frequency regulation for variable speed wind turbines[J ] . Proceedings of the CSEE, 2014, 34(27): 4706−4716(in Chinese).

张昭遂, 孙元章, 李国杰, 等. 超速与变桨协调的双馈风电机组频率控制[J]. 电力系统自动化, 2011, 35(17): 20−25,43.

ZHANG Zhaosui, SUN Yuanzhang, LI Guojie, et al . Frequency regulation by doubly fed induction generator wind turbines based on coordinated overspeed control and pitch control[J ] . Automation of Electric Power Systems, 2011, 35(17): 20−25,43(in Chinese).

CHANG-CHIEN L R, YIN Y C. Strategies for operating wind power in a similar manner of conventional power plant[J]. IEEE Transactions on Energy Conversion, 2009, 24(4): 926−934.

伍双喜, 谭嫣, 刘思宁, 等. 风电机组参与调频的系统频率响应模型[J]. 南方电网技术, 2022, 16(10): 48−56.

WU Shuangxi, TAN Yan, LIU Sining, et al . System frequency response model with wind turbines participating in frequency regulation[J ] . Southern Power System Technology, 2022, 16(10): 48−56(in Chinese).

颜湘武, 孙颖, 李晓宇, 等. 基于双馈风力发电场虚拟惯量控制策略优化[J]. 华北电力大学学报(自然科学版), 2020, 47(06): 42−51.

YAN Xiangwu, SUN Ying, LI Xiaoyu, et al . Optimization of virtual inertia control strategy based on doubly-fed wind farm[J ] . Journal of North China Electric Power University, 2020, 47(06): 42−51(in Chinese).

李和明, 张祥宇, 王毅, 等. 基于功率跟踪优化的双馈风力发电机组虚拟惯性控制技术[J]. 中国电机工程学报, 2012, 32(7): 32−39.

LI Heming, ZHANG Xiangyu, WANG Yi, et al . Virtual inertia control of DFIG-based wind turbines based on the optimal power tracking[J ] . Proceedings of the CSEE, 2012, 32(7): 32−39(in Chinese).

吉静, 郝丽丽, 王昊昊, 等. 大规模风电参与一次调频下基于机组快速启动能力的日内滚动调度[J]. 电力自动化设备, 2020, 40(5): 121−130.

JI Jing, HAO Lili, WANG Haohao, et al . Intra-day rolling dispatch considering large-scale wind power participating in primary frequency regulation based on unit fast start-up capability[J ] . Electric Power Automation Equipment, 2020, 40(5): 121−130(in Chinese).

欧阳金鑫, 袁毅峰, 李梦阳, 等. 考虑风电减载调频的高比例风电电力系统优化调度方法[J]. 电网技术, 2021, 45(6): 2192−2201.

OUYANG Jinxin, YUAN Yifeng, LI Mengyang, et al . Optimal dispatching method of high-proportion wind power systems considering wind power reserve for frequency adjustment[J ] . Power System Technology, 2021, 45(6): 2192−2201(in Chinese).

董天翔, 翟保豫, 李星, 等. 风储联合系统参与频率响应的优化控制策略[J]. 电网技术, 2022, 46(01): 3980−3989.

DONG Tianxiang, ZHAI Baoyu, LI Xing, et al . Optimal control strategy for combined wind-storage system to participate in frequency response[J ] . Power System Technology, 2022, 46(01): 3980−3989(in Chinese).

张文亮, 丘明, 来小康. 储能技术在电力系统中的应用[J]. 电网技术, 2008, 32(7): 1−9.

ZHANG Wenliang, QIU Ming, LAI Xiaokang. Application of energy storage technologies in power grids[J]. Power System Technology, 2008, 32(7): 1−9(in Chinese).

JIANG Ruiwei, WANG Jianhui, GUAN Yongpei. Robust unit commitment with wind power and pumped storage hydro[J]. IEEE Transactions on Power Systems, 2012, 27(2): 800−810.

盛四清, 孙晓霞. 风电–抽水蓄能联合运行优化模型[J]. 电力系统及其自动化学报, 2016, 28(11): 100−103.

SHENG Siqing, SUN Xiaoxia. Operational optimization model for combined operation of wind power and pumped-storage plant[J]. Proceedings of the CSU-EPSA, 2016, 28(11): 100−103(in Chinese).

迟昆, 李媛, 张军, 等. 基于IGDT-CVaR的风电–抽水蓄能联合调度研究[J]. 电工电能新技术, 2022, 41(07): 1−9.

CHI Kun, LI Yuan, ZHANG Jun, et al . Research on wind power and pumped hydrostorage based on IGDT-CVAR[J ] . Advanced Technology of Electrical Engineering and Energy, 2022, 41(07): 1−9(in Chinese).

李志伟, 赵书强, 刘金山. 基于机会约束目标规划的风–光–水–气–火–储联合优化调度[J]. 电力自动化设备, 2019, 39(08): 214−223.

LI Zhiwei, ZHAO Shuqiang, LIU Jinshan. Coordinated optimal dispatch of wind-photovoltaic-hydro-gas-thermal-storage system based on chance-constrained goal programming[J]. Electric Power Automation Equipment, 2019, 39(08): 214−223(in Chinese).

赖春羊, 马光文, 谢航, 等. 基于综合效益指标体系的风水互补系统经济调度[J]. 电网技术, 2021, 45(11): 4319−4328.

LAI Chunyang, MA Guangwen, XIE Hang, et al . Economic dispatching of wind and hydropower complementary system based on comprehensive benefit index system[J ] . Power System Technology, 2021, 45(11): 4319−4328(in Chinese).

徐飞, 陈磊, 金和平, 等. 抽水蓄能电站与风电的联合优化运行建模及应用分析[J]. 电力系统自动化, 2013, 37(1): 149−154.

XU Fei, CHEN Lei, JIN Heping, et al . Modeling and application analysis of optimal joint operation of pumped storage power station and wind power[J ] . Automation of Electric Power Systems, 2013, 37(1): 149−154(in Chinese).

赵书强, 吴博, 李志伟, 等. 风电–储能参与调频的高比例风电电力系统运行经济性分析[J/OL]. 南方电网技术: 1-9[2023-01-06]. http://kns.cnki.net/kcms/detail/44.1643.TK.20230105.1051.002.html.

ZHAO Shuqiang, WU Bo, LI Zhiwei, et al. Operational economic analysis of high-proportion wind power system with wind power and energy storage participating in frequency regulation[J/OL]. Southern Power System Technology. 1-9[2023-01-06]. http://kns.cnki.net/kcms/detail/44.1643.TK.20230105.1051.002.html.

HEG, CHEN Q, KANG C, et al. Cooperation of wind power and battery storage to provide frequency regulation in power markets[J]. IEEE Transactions on Power Systems, 2017, 32(5):3559-3568 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Scheduling Model of Virtual Power Plant Considering Source-load Uncertainty

Real-Time Optimal Scheduling of AC / DC Hybrid Microgrid Based on Artificial Auxiliary Deep Reinforcement Learning

Optimal Scheduling of Integrated Energy System based on Improved Line-Pack Model

The Optimized Scheduling Model of Unit Commitment Based on Interruptible Load

Related Author

Jiakang SUN

Yanan SONG

Shuxian FENG

Jicheng LIU

Hailong WANG

Fangfei LI

Zixiong LU

Zhong WANG

Related Institution

School of Economics and Management, North China Electric Power University, Changping District

NARI Technology Co. Ltd.

Yangzhong Power Supply Company, Yangzhong

State Grid Jiaxing Electric Power Company

State Grid Jilin Electric Power Company

AI脑图

AI问答

⁰