AN IMPACT LOAD IDENTIFICATION METHOD FOR MICROGRIDS WITH HETEROGENEOUS ENERGY STORAGE BASED ON IBKA-ISDT

Yu Yang; Pang Qiwen; Niu Yunjing; Zhang Qianhui; Sun Zishuo; Wang Boxiao

doi:10.19912/j.0254-0096.tynxb.2025-0352

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (7) : 693-702. DOI: 10.19912/j.0254-0096.tynxb.2025-0352

AN IMPACT LOAD IDENTIFICATION METHOD FOR MICROGRIDS WITH HETEROGENEOUS ENERGY STORAGE BASED ON IBKA-ISDT

Yu Yang^1,2, Pang Qiwen^1,2, Niu Yunjing^1,2, Zhang Qianhui^1,2, Sun Zishuo^1,2, Wang Boxiao^1,2

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Abstract

Currently, the impact load identification methods for microgrids with heterogeneous energy storage insufficiently focus on energy storage parameters, resulting in ineffective responses of energy storage systems to complete impact loads. To address this issue, this paper proposes an IBKA-ISDT algorithm-based impact load identification method for microgrids with heterogeneous energy storage. Firstly, multidimensional mutational indicators for impact loads are established, including power peak, power change rate, peak duration, and electrical energy, to meet the requirements of heterogeneous energy storage microgrids. Secondly, an improved swing door trending （ISDT） algorithm with multiple door-width coefficients is proposed, where door-width coefficient optimization is implemented through an improved black-winged kite algorithm （IBKA）. Subsequently, a modified fitness function is employed to achieve multi-power feature extraction, accomplishing impact load identification and combination. Finally, actual operational data from a heterogeneous energy storage microgrid are used to validate the proposed method. Results demonstrate that this method effectively identifies impact loads with high accuracy and exhibits significant advantages.

Key words

microgrids / heuristic algorithms / energy storage / impact load / power feature extraction / improved swing door trending algorithm

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Yu Yang, Pang Qiwen, Niu Yunjing, Zhang Qianhui, Sun Zishuo, Wang Boxiao. AN IMPACT LOAD IDENTIFICATION METHOD FOR MICROGRIDS WITH HETEROGENEOUS ENERGY STORAGE BASED ON IBKA-ISDT[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 693-702 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0352

References

[1] Zhao Q L, Liao K, Yang J W, et al.Aging rate equalization strategy for battery energy storage systems in microgrids[J]. IEEE Transactions on Smart Grid, 2024, 15(1): 136-148.
[2] 李尚龙, 刘乾易, 邹润民, 等. 港口岸电系统冲击性负荷功率柔性控制方法[J]. 中国电机工程学报, 2024, 44(16): 6587-6596.
Li S L, Liu Q Y, Zou R M, et al.Flexible control method for impact load power in port shore power system[J]. Proceedings of the CSEE, 2024, 44(16): 6587-6596.
[3] 朱润林. 电力系统冲击负荷建模及其对电压稳定性的影响分析[D]. 成都: 西南交通大学, 2021.
Zhu R L.Modeling of power system shock load and analysis of its effect on voltage stability[D]. Chengdu: Southwest Jiaotong University, 2021.
[4] 孙震龙. 电解铝负荷建模及对电压稳定影响研究[D]. 北京: 华北电力大学, 2023.
Sun Z L.Research on load modeling of electrolytic aluminum and its influence on voltage stability[D]. Beijing: North China Electric Power University, 2023.
[5] 刘乾易, 李源, 刘芳, 等. 面向功率冲击平抑的岸电系统储能型电能调控装置容量优化配置策略[J]. 电力自动化设备, 2024, 44(7): 37-44.
Liu Q Y, Li Y, Liu F, et al.Capacity optimization allocation strategy of electric energy regulator with energy storage for power shock suppression in shore power system[J]. Electric Power Automation Equipment, 2024, 44(7): 37-44.
[6] 杨家辉, 杨逸凡, 孙明宇, 等. 基于超短期预测的区域综合能源系统冲击响应调控策略[J]. 电气工程学报, 2025, 20(1): 239-249.
Yang J H, Yang Y F, Sun M Y, et al.Regulation strategy of impact response of regional integrated energy system based on ultra short term prediction[J]. Journal of Electrical Engineering, 2025, 20(1): 239-249.
[7] 刘纳, 石梦璇, 黄碧月, 等. 含有冲击负荷孤网中的储能应用研究[J]. 计算机仿真, 2021, 38(5): 60-65.
LIU N, SHI M X, HUANG B Y, et al.Application of energy storage system in shock load of isolated power grid[J]. Computer simulation, 2021, 38(5): 60-65.
[8] Yang H J, Hao Z Y, Ma Y H, et al.Inverse proportion technique based scheduling strategy for energy storage system considering load demand differences[J]. CSEE Journal of Power And Energy Systems, 2022, 8(5): 1487-1496.
[9] 赵源筱, 耿光超, 江全元, 等. 考虑功率变化速率的储能辅助单机调频控制策略[J]. 电力自动化设备, 2020, 40(1): 141-147.
Zhao Y X, Geng G C, Jiang Q Y, et al.Frequency control strategy of single-generator supporting by energy storage considering power change rate[J]. Electric Power Automation Equipment, 2020, 40(1): 141-147.
[10] 魏玖明, 李兆伟, 李碧君, 等. 提升新能源短时性功率冲击下暂态频率安全的储能紧急控制策略[J]. 电力系统自动化, 2024, 48(8): 152-161.
Wei J M, Li Z W, Li B J, et al.Emergency control strategies using energy storage to enhance transient frequency safety under short-time power impact of renewable energy[J]. Automation of Electric Power Systems, 2024, 48(8): 152-161.
[11] 刘晓艳. 计及初始荷电状态的含混合储能微电网双层调度研究[J]. 太阳能学报, 2024, 45(2): 416-420.
Liu X Y.Two-layer dispatch of microgrid with hybrid energy storage considering initial state of charge[J]. Acta Energiae Solaris Sinica, 2024, 45(2): 416-420.
[12] 张伟杰, 顾吉鹏, 张有兵, 等. 基于T-S模糊逻辑的混合储能孤岛直流微电网功率分配控制[J]. 电力自动化设备, 2024, 44(6): 135-144.
Zhang W J, Gu J P, Zhang Y B, et al.Power distribution control of islanded DC microgrid with hybrid energy storage based on T-S fuzzy logic[J]. Electric Power Automation Equipment, 2024, 44(6): 135-144.
[13] 王力, 胡佳成, 曾祥君, 等. 基于混合储能的交直流混联微电网功率分级协调控制策略[J]. 电工技术学报, 2024, 39(8): 2311-2324.
Wang L, Hu J C, Zeng X J, et al.Hierarchical coordinated power control strategy for AC-DC hybrid microgrid with hybrid energy storage[J]. Transactions of China Electrotechnical Society, 2024, 39(8): 2311-2324.
[14] Qu Y P, Xu J, Sun Y Z, et al.A parameter and resolution adaptive algorithm for rapid detection of ramp events in different timescale databases of the power system[J]. International Journal of Electrical Power & Energy Systems, 2019, 112: 393-403.
[15] 乔妍, 韩丽, 李梦洁. 基于爬坡特征和云模型的风电功率预测误差区间评估[J]. 电力系统自动化, 2022, 46(11): 75-84.
Qiao Y, Han L, Li M J.Interval estimation of wind power forecasting error based on ramp features and cloud model[J]. Automation of Electric Power Systems, 2022, 46(11): 75-84.
[16] 梁志, 张哲, 师宇, 等. 基于旋转门算法的风速和风功率爬坡事件的识别方法及特征分析[J]. 中国科学院大学学报(中英文), 2024, 41(6): 821-829.
Liang Z, Zhang Z, Shi Y, et al.Detection method and characterization of ramp events of wind speed and wind power based on swinging door algorithm[J]. Journal of University of Chinese Academy of Sciences, 2024, 41(6): 821-829.
[17] 李文泽. 基于深度学习的风电爬坡识别及短期功率预测技术研究[D]. 武汉: 华中科技大学, 2021.
Li W Z.Wind power climbing recognition and short-term power forecasting technology based on deep learning[D]. Wuhan: Huazhong University of Science and Technology, 2021.
[18] 余洋, 吴玉威, 陈东阳, 等. 面向风电波动平抑基于改进C-DCA的电池储能分组控制策略[J]. 高电压技术, 2023, 49(10): 4096-4108.
Yu Y, Wu Y W, Chen D Y, et al.Battery energy storage grouping control strategy based on improved C-DCA for wind power fluctuation suppression[J]. High Voltage Engineering, 2023, 49(10): 4096-4108.
[19] Cui Y, He Y J, Xiong X, et al.Algorithm for identifying wind power ramp events via novel improved dynamic swinging door[J]. Renewable Energy, 2021, 171: 542-556.
[20] Wang J, Wang W C, Hu X X, et al.Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems[J]. Artificial Intelligence Review, 2024, 57(4): 98.
[21] Zhao W G, Wang L Y, Zhang Z X, et al.Electric eel foraging optimization: a new bio-inspired optimizer for engineering applications[J]. Expert Systems with Applications, 2024, 238: 122200.
[22] Tian A Q, Liu F F, Lyu H X.Snow Geese Algorithm: a novel migration-inspired meta-heuristic algorithm for constrained engineering optimization problems[J]. Applied Mathematical Modelling, 2024, 126: 327-347.
[23] 余洋, 王卜潇, 吴玉威, 等. 面向光伏平抑考虑SOH与SOC的电池储能系统功率分配方法[J]. 太阳能学报, 2024, 45(3): 377-388.
Yu Y, Wang B X, Wu Y W, et al.Power distribution method of battery energy storage system for photovoltaic power suppression considering SOH and SOC[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 377-388.
[24] 孙振新, 张秩鸣, 马俯波, 等. 基于熵理论的能量调节性能研究[J]. 储能科学与技术, 2024, 13(5): 1584-1591.
Sun Z X, Zhang Z M, Ma F B, et al.Investigation of energy regulation performance based on entropy theory[J]. Energy Storage Science and Technology, 2024, 13(5): 1584-1591.
[25] 余洋, 陈东阳, 王卜潇, 等. 基于IBSO-SDT的风电爬坡事件检测方法[J]. 太阳能学报, 2023, 44(9): 348-355.
Yu Y, Chen D Y, Wang B X, et al.Wind power ramp event detection method based on IBSO-SDT[J]. Acta Energiae Solaris Sinica, 2023, 44(9): 348-355.