MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE

Peng Weipeng; Shao Zhenguo; Chen Feixiong; Zhang Shuling; Gao Tongtong; Chen Dawei

doi:10.19912/j.0254-0096.tynxb.2023-1561

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 282-292. DOI: 10.19912/j.0254-0096.tynxb.2023-1561

MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE

Peng Weipeng¹, Shao Zhenguo¹, Chen Feixiong¹, Zhang Shuling², Gao Tongtong², Chen Dawei²

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Abstract

The new mode of “wind farm+energy storage” has gradually become the mainstream. Facing the new power system with high proportion of wind storage system connected to grid, a multi-timescale optimal scheduling strategy of wind-storage cluster power system with demand response is proposed. Firstly, in the day-ahead long time scale stage, the user load power is adjusted by price based demand response, and the day-ahead scheduling plan and optimized load curve are obtained with the goal of minimizing the net load power fluctuation and operating cost. Secondly, in the intra-day short time scale stage, the incentive demand response and wind-storage systems are scheduled on the basis of the optimized load power. With the goal of minimizing the total dispatching cost of the power system, the daily scheduling plan of the power system is formulated considering the maximum limit of the active power change of the wind-storage cluster system. Finally, the improved IEEE39-node system is taken as an example to verify the proposed strategy. As the results, the proposed strategy can reduce the curtailment power and grid-connected power fluctuation of wind-storage cluster system.

Key words

demand response / wind power integration / battery energy storage system / multi-time scale scheduling / wind power fluctuation flattening

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Peng Weipeng, Shao Zhenguo, Chen Feixiong, Zhang Shuling, Gao Tongtong, Chen Dawei. MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 282-292 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1561

References

[1] 徐询, 谢丽蓉, 叶林, 等. 基于非参数核密度估计的风电场有功功率双层优化模型[J]. 电力系统自动化, 2022, 46(2): 43-55.
XU X, XIE L R, YE L, et al.Bi-level optimization model of active power for wind farm based on nonparametric kernel density estimation[J]. Automation of electric power systems, 2022, 46(2): 43-55.
[2] WAN C, QIAN W T, ZHAO C F, et al.Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing[J]. IEEE transactions on sustainable energy, 2021, 12(4): 1841-1852.
[3] 薛禹胜, 雷兴, 薛峰, 等. 关于风电不确定性对电力系统影响的评述[J]. 中国电机工程学报, 2014, 34(29): 5029-5040.
XUE Y S, LEI X, XUE F, et al.A review on impacts of wind power uncertainties on power systems[J]. Proceedings of the CSEE, 2014, 34(29): 5029-5040.
[4] SUN Y S, PEI W, JIA D Q, et al.Application of integrated energy storage system in wind power fluctuation mitigation[J]. Journal of energy storage, 2020, 32: 101835.
[5] 赵团团, 邬昌军, 巩晓赟. 基于最优滚动控制域的储能控制策略[J]. 太阳能学报, 2023, 44(2): 247-253.
ZHAO T T, WU C J, GONG X Y.Energy storage control strategy based on optimal rolling control domain[J]. Acta energiae solaris sinica, 2023, 44(2): 247-253.
[6] 中华人民共和国中央人民政府. 中国政府网.关于进一步推动新型储能参与电力市场和调度运用的通知[EB/OL]. http://www.gov.cn/zhengce/zhengceku/2022/06/07/content_5694423.htm.
The Central People's Government of the People's Republic of China. China Government Network. Notice on further promoting the participation of new energy storage in the electricity market and dispatch utilization[EB/OL]. http://www.gov.cn/zhengce/zhengceku/2022/06/07/content_5694423.htm.
[7] 东亚光, 李凤婷, 王森. 跟踪计划出力的新能源场站与汇集站储能协调运行策略[J]. 电网技术, 2023, 47(4): 1579-1591.
DONG Y G, LI F T, WANG S.Energy storage coordinated operation strategy of new energy stations and collection stations by tracking planned output[J]. Power system technology, 2023, 47(4): 1579-1591.
[8] 谢小荣, 马宁嘉, 刘威, 等. 新型电力系统中储能应用功能的综述与展望[J]. 中国电机工程学报, 2023, 43(1): 158-169.
XIE X R, MA N J, LIU W, et al.Functions of energy storage in renewable energy dominated power systems: review and prospect[J]. Proceedings of the CSEE, 2023, 43(1): 158-169.
[9] 唐杰, 吕林, 叶勇, 等. 多时间尺度下主动配电网源-储-荷协调经济调度[J]. 电力系统保护与控制, 2021, 49(20): 53-64.
TANG J, LYU L, YE Y, et al.Source-storage-load coordinated economic dispatch of an active distribution network under multiple time scales[J]. Power system protection and control, 2021, 49(20): 53-64.
[10] 程瑜, 陈熙. 基于源-荷-储互动的储能对风电消纳能力影响分析[J]. 电力系统自动化, 2022, 46(13): 84-93.
CHENG Y, CHEN X.Analysis on influence of energy storage on accommodation capability of wind power based on source-load-storage interaction[J]. Automation of electric power systems, 2022, 46(13): 84-93.
[11] 刘丽军, 罗宁, 吴桐, 等. 基于混合整数二阶锥规划的考虑需求侧响应虚拟电厂优化调度[J]. 太阳能学报, 2021, 42(8): 96-104.
LIU L J, LUO N, WU T, et al.Optimal scheduling of virtual power plant considering demand side response based on mixed integer second-order cone programming[J]. Acta energiae solaris sinica, 2021, 42(8): 96-104.
[12] 邓婷婷, 娄素华, 田旭, 等. 计及需求响应与火电深度调峰的含风电系统优化调度[J]. 电力系统自动化, 2019, 43(15): 34-41.
DENG T T, LOU S H, TIAN X, et al.Optimal dispatch of power system integrated with wind power considering demand response and deep peak regulation of thermal power units[J]. Automation of electric power systems, 2019, 43(15): 34-41.
[13] DAI X M, LI Y P, ZHANG K F, et al.A robust offering strategy for wind producers considering uncertainties of demand response and wind power[J]. Applied energy, 2020, 279: 115742.
[14] 祁江浩, 李凤婷, 张高航. 需求响应分段参与的多时间尺度源荷协调调度策略[J]. 电力系统保护与控制, 2021, 49(11): 61-69.
QI J H, LI F T, ZHANG G H.Multi-time scale scheduling strategy for source-load coordination considering demand response block participation[J]. Power system protection and control, 2021, 49(11): 61-69.
[15] WANG B, ZHANG C, DONG Z Y.Interval optimization based coordination of demand response and battery energy storage system considering SOC management in a microgrid[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2922-2931.
[16] ZHANG J J, ZHANG P, WU H B, et al.Two-stage load-scheduling model for the incentive-based demand response of industrial users considering load aggregators[J]. IET generation, transmission & distribution, 2018, 12(14): 3518-3526.
[17] 周伟, 孙永辉, 王建喜, 等. 计及自适应阶梯型需求响应激励机制的园区综合能源系统优化调度[J]. 电网技术, 2023, 47(10): 4210-4218.
ZHOU W, SUN Y H, WANG J X, et al.Optimal dispatch of park-level integrated energy system considering adaptive stepped demand response incentive mechanism[J]. Power system technology, 2023, 47(10): 4210-4218.
[18] YU M M, HONG S H, DING Y M, et al.An incentive-based demand response (DR) model considering composited DR resources[J]. IEEE transactions on industrial electronics, 2019, 66(2): 1488-1498.
[19] ZHAO Y X, LIN Z Z, WEN F S, et al.Risk-constrained day-ahead scheduling for concentrating solar power plants with demand response using info-gap theory[J]. IEEE transactions on industrial informatics, 2019, 15(10): 5475-5488.
[20] 马丙泰, 刘海涛, 郝思鹏, 等. 基于价格需求响应的储能系统退化成本模型研究[J]. 太阳能学报, 2023, 44(10): 531-540.
MA B T, LIU H T, HAO S P, et al.Research on degradation cost model of energy storage system based on price demand response[J]. Acta energiae solaris sinica, 2023, 44(10): 531-540.
[21] 黄剑平, 陈皓勇, 林镇佳, 等. 需求侧响应背景下分时电价研究与实践综述[J]. 电力系统保护与控制, 2021, 49(9): 178-187.
HUANG J P, CHEN H Y, LIN Z J, et al.A summary of time-of-use research and practice in a demand response environment[J]. Power system protection and control, 2021, 49(9): 178-187.
[22] 国家能源局华中监管局. 《华中区域发电厂并网运行管理实施细则》[EB/OL]. (2020-09-07) [2023-05-19] http://hzj.nea.gov.cn/adminContent/initViewContent.do?pk=AEB05CC013329FBDE050A8C0C1C8659B.
National Energy Administration Central China Regulatory Bureau. Implementation Rules for the Grid-connected Operation Management of Power Plants in the Central China Region[EB/OL]. (2020-09-07) [2023-05-19] http://hzj.nea.gov.cn/adminContent/initViewContent.do?pk=AEB05CC013329FBDE050A8C0C1C8659B.
[23] MU G, WU F Z, ZHANG X P, et al.Analytic mechanism for the cumulative effect of wind power fluctuations from single wind farm to wind farm cluster[J]. CSEE journal of power and energy systems, 2022, 8(5): 1290-1301.
[24] 别朝红, 胡国伟, 谢海鹏, 等. 考虑需求响应的含风电电力系统的优化调度[J]. 电力系统自动化, 2014, 38(13): 115-120, 159.
BIE Z H, HU G W, XIE H P, et al.Optimal dispatch for wind power integrated systems considering demand response[J]. Automation of electric power systems, 2014, 38(13): 115-120, 159.
[25] 崔杨, 邓贵波, 曾鹏, 等. 计及碳捕集电厂低碳特性的含风电电力系统源-荷多时间尺度调度方法[J]. 中国电机工程学报, 2022, 42(16): 5869-5886, 6163.
CUI Y, DENG G B, ZENG P, et al.Multi-time scale source-load dispatch method of power system with wind power considering low-carbon characteristics of carbon capture power plant[J]. Proceedings of the CSEE, 2022, 42(16): 5869-5886, 6163.
[26] 湖北省能源局. 湖北省能源局关于开展2020年平价风电和平价光伏发电项目竞争配置工作的通知[EB/OL].http://fgw.hubei.gov.cn/fbjd/xxgkml/jgzn/wgdw/nyj/xnyhkzsnyc/tzgg/202006/t20200608_2385384.shtml.
Hubei Provincial Energy Bureau. Notice on the competitive allocation of grid-parity wind power and grid-parity photovoltaic power projects for 2020 by the Hubei Provincial Energy Bureau[EB/OL]. http://fgw.hubei.gov.cn/fbjd/xxgkml/jgzn/wgdw/nyj/xnyhkzsnyc/tzgg/202006/t20200608_2385384.shtml.