高比例新能源弱电网中储能参与调压的优化调度策略Optimal scheduling strategy for energy storage-based voltage regulation in weak power grids with high renewable energy penetration
王玉,胡超凡,赵晋泉,张宇栋,赵子康,黄锡芳
WANG Yu,HU Chaofan,ZHAO Jinquan,ZHANG Yudong,ZHAO Zikang,HUANG Xifang
摘要(Abstract):
针对高比例新能源接入的弱电网中系统电压调控难度显著增大的问题,提出一种储能充放电参与电压调节的优化调度策略与辅助服务补偿机制。首先,构建了一个省级电网日前三阶段协调调度框架,该框架包含日前现货市场出清、日前无功计划以及储能调压阶段。其次,在储能调压阶段建立了以“调整储能日前调峰计划、补偿其调峰收益损失”为核心的优化调度模型,旨在通过调节储能的有功出力来支撑系统电压。然后,设计了与模型相匹配的调压辅助服务成本补偿与分摊方案,从而在保障电压安全的同时,维护储能作为独立市场主体的合理经济收益。最后,基于改造后的IEEE 39节点系统以及西藏某地区电网进行仿真,验证了所提方法的有效性。
To address the increased difficulty of voltage regulation in weak power grids with high renewable energy penetration, this paper proposes an optimal scheduling strategy for energy storage systems(ESSs) to participate in voltage regulation through coordinated charging and discharging, together with a corresponding ancillary service compensation mechanism. First, a three-stage day-ahead coordinated scheduling framework for a provincial power grid is established, consisting of day-ahead spot market clearing, day-ahead reactive power scheduling, and an ESS-based voltage regulation stage. Next, an optimal scheduling model centered on adjusting the day-ahead peakshaving schedule of ESSs while compensating for the resulting loss of peak-shaving revenue is developed for the voltage regulation stage to support system voltage by regulating the active power output of ESSs. Subsequently, a compensation and cost allocation scheme for voltage regulation ancillary services is designed to align with the proposed scheduling model, ensuring voltage security while maintaining the reasonable economic returns of ESSs as independent market participants. Finally, simulations conducted on a modified IEEE 39-bus system and a power grid in Xizang verify the effectiveness of the proposed method.
关键词(KeyWords):
高比例新能源弱电网;电压控制;调压辅助服务;补偿机制;储能充放电计划
weak power grids with high renewable energy penetration;voltage regulation;voltage regulation ancillary services;compensation mechanism;energy storage charging and discharging schedule
基金项目(Foundation): 智能电网国家科技重大专项(2026ZD0809500);; 国家电网有限公司总部管理科技项目(5100-202340422A-3-2-ZN)
作者(Author):
王玉,胡超凡,赵晋泉,张宇栋,赵子康,黄锡芳
WANG Yu,HU Chaofan,ZHAO Jinquan,ZHANG Yudong,ZHAO Zikang,HUANG Xifang
DOI: 10.19585/j.zjdl.202608004
参考文献(References):
- [1]孙玉树,杨敏,师长立,等.储能的应用现状和发展趋势分析[J].高电压技术,2020,46(1):80-89.Sun Yushu,Yang Min,Shi Changli,et al.Analysis of application status and development trend of energy storage[J].High Voltage Engineering,2020,46(1):80-89.
- [2]Yang Y,Peng J C,Ye Z S.A market clearing mechanism considering primary frequency response rate[J]. IEEE Transactions on Power Systems,2021,36(6):5952-5955.
- [3]Li L X,Kappler T,Schwarz B,et al.Optimal BESS management for peak load shaving and battery health under prediction uncertainty[J].IEEE Transactions on Sustainable Energy,2026,17(1):351-363.
- [4]赵晋泉,唐成魁,陈涛,等.惯量和一次调频辅助服务市场机制设计研究[J].浙江电力,2026,45(2):12-21.Zhao Jinquan,Tang Chengkui,Chen Tao,et al.Research on market mechanism design for inertia ancillary services and PFC services[J]. Zhejiang Electric Power,2026,45(2):12-21.
- [5]曾东,张泽强,蔡其东,等.新能源高占比系统储能与无功补偿装置协调调压控制策略[J].电力电容器与无功补偿,2024,45(3):9-19.Zeng Dong,Zhang Zeqiang,Cai Qidong,et al.Coordinated voltage regulation control strategy of energy storage and reactive power compensation device for renewable energy high percentage systems[J].Power Capacitor&Reactive Power Compensation,2024,45(3):9-19.
- [6]曹晓庆,李特,李林,等.面向不平衡电网的改进型电压支撑方法研究[J].电力建设,2025,46(8):34-44.Cao Xiaoqing,Li Te,Li Lin,et al.Improved voltage support method for unbalanced grid condition[J]. Electric Power Construction,2025,46(8):34-44.
- [7]范嘉炜,任永峰,杭雨祺,等.构网型储能与九开关UPQC联合控制提升风电系统稳定性[J].高压电器,2025,61(11):11-21.Fan Jiawei,Ren Yongfeng,Hang Yuqi,et al.Improvement of wind powe system stability by joint control of gridforming energy storage and nine-switch UPQC[J]. High Voltage Apparatus,2025,61(11):11-21.
- [8]周良才,周毅,沈维健,等.基于深度强化学习的新型电力系统无功电压优化控制[J].电测与仪表,2024,61(9):182-189.Zhou Liangcai,Zhou Yi,Shen Weijian,et al.Reactive voltage optimization control of novel power system based on deep reinforcement learning[J].Electrical Measurement&Instrumentation,2024,61(9):182-189.
- [9]尚博文,徐铭铭,张金帅,等.高比例分布式光伏接入背景下配电网电压调控方法研究综述[J].智慧电力,2024,52(12):1-11.Shang Bowen,Xu Mingming,Zhang Jinshuai,et al.A Review of voltage regulation methods for distribution networks in the context of high proportion of distributed photovoltaic integration[J].Smart Power,2024,52(12):1-11.
- [10]赵晓敏,单小雨,李斯特,等.考虑电压主导型连锁故障的新能源电力系统无功补偿优化配置[J].电力电容器与无功补偿,2024,45(5):1-7.Zhao Xiaomin,Shan Xiaoyu,Li Site,et al.Optimal allocation of reactive compensation of renewable power system considering voltagedominated cascading faults[J]. Power Capacitor&Reactive Power Compensation,2024,45(5):1-7.
- [11]赵晶晶,朱炯达,刘帅,等.基于集群划分的配电网多时间尺度分布式有功-无功协同优化方法[J].电测与仪表,2024,61(10):57-66.Zhao Jingjing,Zhu Jiongda,Liu Shuai,et al. Multitimescale distributed active and reactive power coordinated optimization method of distributed network based on cluster division[J].Electrical Measurement&Instrumentation,2024,61(10):57-66.
- [12]卢锦玲,赵增辉,胡兴华,等.计及光伏波动性的主动配电网双层有功无功协调优化[J].电力系统及其自动化学报,2024,36(5):19-26.Lu Jinling,Zhao Zenghui,Hu Xinghua,et al.Dual-layer active and reactive power coordinated optimization of active distribution network considering photovoltaic fluctuations[J].Proceedings of the CSU-EPSA,2024,36(5):19-26.
- [13]Nazaripouya H,Pota H R,Chu C C,et al. Real-time model-free coordination of active and reactive powers of distributed energy resources to improve voltage regulation in distribution systems[J].IEEE Transactions on Sustainable Energy,2020,11(3):1483-1494.
- [14]Chen S,Wang C F,Zhang Z W.Multitime scale active and reactive power coordinated optimal dispatch in active distribution network considering multiple correlation of renewable energy sources[J].IEEE Transactions on Industry Applications,2021,57(6):5614-5625.
- [15]林宇豪,杨军,王弘利,等.考虑决策依赖不确定性的光储充一体化电站优化运行策略[J].浙江电力,2025,44(10):91-101.Lin Yuhao,Yang Jun,Wang Hongli,et al.An optimal operation strategy for photovoltaic-storage-charging integrated stations considering decision-dependent uncertainty[J].Zhejiang Electric Power,2025,44(10):91-101.
- [16]谢义国,刘牧阳,常喜强,等.转动惯量辅助服务市场交易机制研究[J].电力建设,2024,45(10):158-166.Xie Yiguo,Liu Muyang,Chang Xiqiang,et al. Trading mechanism for the rotational inertia ancillary service market[J].Electric Power Construction,2024,45(10):158-166.
- [17]田圆,陈红坤,刘颖杰,等.辅助服务市场背景下灵活性资源调峰补偿价格决策方法[J].电力自动化设备,2024,44(9):154-161.Tian Yuan,Chen Hongkun,Liu Yingjie,et al.Compensation price decision method for peak shaving of flexible resources in context of ancillary service market[J].Electric Power Automation Equipment,2024,44(9):154-161.
- [18]刘硕,于松泰,孙田,等.面向高比例可再生能源电力系统的容量补偿机制研究[J].电网技术,2022,46(5):1780-1789.Liu Shuo,Yu Songtai,Sun Tian,et al.Capacity compensation mechanism for highly-proportional renewable energy power systems[J]. Power System Technology,2022,46(5):1780-1789.
- [19]白晶,金广厚,孙鹤林,等.高渗透光伏配电网第三方主体调压辅助服务补偿与获取[J].中国电力,2023,56(4):95-103.Bai Jing,Jin Guanghou,Sun Helin,et al.Third-party entity voltage regulation ancillary service compensation and procurement in distribution networks with high-penetration PV[J].Electric Power,2023,56(4):95-103.
- [20]Zhang J J,Zhang J X,Skitmore M,et al. Compensation mechanism for peak-shaving auxiliary services considering the cost recovery period of energy storage[J]. Journal of Energy Storage,2025,128:117127.
- [21]吴迪,程海花,赵晋泉,等.基于平衡成本的风电分段及火电调峰补偿方法[J].电力系统自动化,2019,43(3):116-122.Wu Di,Cheng Haihua,Zhao Jinquan,et al.Balancing cost based wind power segmentation and compensation method of peak regulation for thermal power[J]. Automation of Electric Power Systems,2019,43(3):116-122.
- [22]王韵楚,张思,林振智,等.分布式源荷参与辅助服务的市场机制与实现方法[J].电力系统自动化,2023,47(18):2-16.Wang Yunchu,Zhang Si,Lin Zhenzhi,et al.Market mechanisms and implementation methods for distributed sources and loads participating in ancillary services[J].Automation of Electric Power Systems,2023,47(18):2-16.
- [23]侯婷婷,方仍存,王治华,等.提升源荷多元调峰主动性的优化调度及费用补偿分摊机制[J].高电压技术,2024,50(12):5529-5538.Hou Tingting,Fang Rengcun,Wang Zhihua,et al.Optimal scheduling and compensation cost allocation mechanism to enhance the initiative of source-load multi-element peak regulation[J].High Voltage Engineering,2024,50(12):5529-5538.
- [24]Yang D F,Zhang R R,Liu C,et al.The study of long-term trading revenue distribution models in wind-photovoltaicthermal complementary systems based on the improved shapley value method[J].Energy Engineering,2025,122(7):2673-2694.
- [25]赵晋泉,居俐洁,戴则梅,等.基于分支定界-原对偶内点法的日前无功优化[J].电力系统自动化,2015,39(15):55-60.Zhao Jinquan,Ju Lijie,Dai Zemei,et al. Day-ahead reactive power optimization based on branch and boundinterior point method[J]. Automation of Electric Power Systems,2015,39(15):55-60.