Based on the coordinated optimization of transient control parameters for wind, solar, hydro, thermal, and energy storage, this paper optimizes the energy storage configuration in a new energy base. Firstly, by analyzing the transfer functions of wind, solar, hydro, thermal, and energy storage in the new energy base, the transient control parameters of each device are determined, and a comprehensive source-storage control model for the new energy base is established. Then, based on a convolutional neural network, three convolutional layers with different kernel sizes are set up and combined with a long short-term memory network to build a hybrid neural network model. This model is used to coordinate and optimize the transient control parameters of wind, solar, hydro, thermal, and energy storage, proposing a control strategy for the new energy base. Finally, based on the power deficit, a two-level optimization objective function for energy storage is established. By comparing the economic performance and transient stability enhancement capability of energy storage under different scenarios, an optimized energy storage configuration method for the new energy base is proposed, achieving safe, stable, and economical operation of the new energy base.
Key words
transient stability /
electric energy storage /
optimization algorithms /
neural network models /
control parameters
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References
[1] 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.
[2] 曹敏健. 多运行场景下储能优化配置方法及实现策略[D]. 南京: 东南大学, 2019.
CAO M J.Research on energy storage system configuration and implementation strategies in multi-operational scenarios[D]. Nanjing: Southeast University, 2019.
[3] 孟贤, 郭启蒙, 李颖欢, 等. 考虑双向需求的混合储能容量多目标优化配置[J]. 太阳能学报, 2023, 44(8): 45-53.
MENG X, GUO Q M, LI Y H, et al.Multi-objrctive optimal configuration of hybrid energy storage capacity considering two-way demand[J]. Acta energiae solaris sinica, 2023, 44(8): 45-53.
[4] 朱志莹, 郭杰, 于国强, 等. 风光接入下储能系统双层优化模型[J]. 太阳能学报, 2022, 43(10): 443-451.
ZHU Z Y, GUO J, YU G Q, et al.Bi-layer optimization model for energy storage systems under wind and PV access[J]. Acta energiae solaris sinica, 2022, 43(10): 443-451.
[5] 郑凯元, 杜文娟, 王海风. 混联多微电网系统动态交互作用及稳定性分析[J]. 中国电机工程学报, 2021, 41(16): 5552-5569.
ZHENG K Y, DU W J, WANG H F.Analysis on dynamic interactions and stability of hybrid multi-microgrids[J]. Proceedings of the CSEE, 2021, 41(16): 5552-5569.
[6] 李杨, 孙斌, 吴峰, 等. 考虑动态频率约束的多能源电力系统日前-日内优化调度[J]. 太阳能学报, 2024, 45(2): 406-415.
LI Y, SUN B, WU F, et al.Day-ahead and intra-day optimal scheduling of multi-energy power systems considering dynamic frequency constraints[J]. Acta energiae solaris sinica, 2024, 45(2): 406-415.
[7] 陈曦, 汪平. 基于分数阶PID的互联电力系统负荷频率控制[J]. 计算机仿真, 2025, 42(8): 144-150.
CHEN X, WANG P.Load frequency control of interconnected power system based on fractional-order PID[J]. Computer simulation, 2025, 42(8): 144-150.
[8] 常海军, 刘福锁, 吕睿. 应对暂态短时功率冲击的接续型频率紧急控制方法[J]. 电网与清洁能源, 2024, 40(9): 81-91.
CHANG H J, LIU F S, LYU R.Method of continuous frequency emergency control considering transient short-time power shock[J]. Power system and clean energy, 2024, 40(9): 81-91.
[9] 兰才华, 石荣亮, 王国斌, 等. 基于频率前馈补偿的储能VSG并网有功响应优化策略[J]. 太阳能学报, 2024, 45(2): 236-243.
LAN C H, SHI R L, WANG G B, et al.Optimization strategy of grid-connected active power response of grid-connected active of energy storage VSG based on frequency feedforward compensation[J]. Acta energiae solaris sinica, 2024, 45(2): 236-243.
[10] 李培强, 孙培栋, 李欣然, 等. 基于临界割集识别的储能系统提高电网暂态稳定裕度的研究[J]. 中国电机工程学报, 2021, 41(20): 6916-6927.
LI P Q, SUN P D, LI X R, et al.Study on improving transient stability margin of power grid by energy storage system based on critical-cutset identification[J]. Proceedings of the CSEE, 2021, 41(20): 6916-6927.
[11] 李汐, 高阳, 马斌, 等. 基于PEF-PinSVM的含可再生能源并网电力系统电压暂态稳定裕度评估[J]. 太阳能学报, 2024, 45(8): 240-248.
LI X, GAO Y, MA B, et al.Voltage transient stability margin assessment of grid connected power systems containing renewable energy based on PEF-PinSVM[J]. Acta energiae solaris sinica, 2024, 45(8): 240-248.
[12] 窦真兰, 张春雁, 汤芳, 等. 综合考虑风功率波动平抑及辅助调频的混合储能容量优化配置策略[J]. 太阳能学报, 2025, 46(12): 67-75.
DOU Z L, ZHANG C Y, TANG F, et al.Considering wind power fluctuation suppression and auxiliary frequency modulation hybrid energy storage capacity optimization configuration strategy[J]. Acta energiae solaris sinica, 2025, 46(12): 67-75.
[13] 曹林锋, 呼斯乐, 杨家强, 等. 计及灵活性和源荷不确定性的储能优化配置方法[J]. 太阳能学报, 2024, 45(9): 623-629.
CAO L F, HU S L, YANG J Q, et al.Optimal configuration method of energy storage considering flexibility and source-load uncertainty[J]. Acta energiae solaris sinica, 2024, 45(9): 623-629.
[14] 韩晓娟, 郭思琪, 吕志恒. 基于双重模糊控制的氢-储耦合系统协同优化策略[J]. 太阳能学报, 2024, 45(11): 718-726.
HAN X J, GUO S Q, LYU Z H.Collaborative and optimal strategy of hydrogen-storage coupling system based on dual fuzzy control[J]. Acta energiae solaris sinica, 2024, 45(11): 718-726.
[15] 曹文思, 张敏, 黄慧. 基于混合算法的配电网中电池储能的多目标优化配置研究[J]. 太阳能学报, 2022, 43(5): 541-546.
CAO W S, ZHANG M, HUANG H.Research on multi-objective optimal configuration of battery energy storage in distribution network based on hybrid algorithm[J]. Acta energiae solaris sinica, 2022, 43(5): 541-546.
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