Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination

doi:10.11930/j.issn.1004-9649.202205065

Abstract

Abstract: To address the low inertia level of AC/DC sending-end systems with high-proportion new energy access, this paper proposes an optimal control method for the inertia of such systems based on multi-source energy storage coordination. First, considering that large-scale new energy access will affect the energy balance of sending-end systems, the paper establishes a power flow equation for AC/DC sending-end systems with a high proportion of wind power. Second, in response to the insufficient inertia support of weak sending-end systems, it puts forward a multi-source energy storage system with electricity, heat, and gas energy conversion and storage equipment and analyzes the system inertia support characteristics under the coordination of multi-source energy storage. On this basis, considering the frequency stability of sending-end systems, an inertia optimization control model is built for AC/DC sending-end systems based on multi-source energy storage coordination. Finally, an AC/DC sending-end system in an area in northern China is used as a simulation example to verify the effectiveness of the proposed model. The model can provide a theoretical basis for the inertia stability control of AC/DC hybrid systems containing large-scale new energy and realize the safe and stable operation of AC/DC sending-end systems.

Key words: multi-source energy storage, inertia, frequency, AC and DC systems, new energy

XIANG Song, SU Peng, WU Jian, LIU Xin, MA Jitao. Inertia Optimization Control Model of AC/DC Sending-End System Based on Multi-source Energy Storage Coordination[J]. Electric Power, 2023, 56(4): 68-76.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202205065

https://www.electricpower.com.cn/EN/Y2023/V56/I4/68

References

[1] 习近平. 在第七十五届联合国大会一般性辩论上的讲话[N]. 人民日报, 2020-09-23(3).
[2] 金晨, 任大伟, 肖晋宇, 等. 支撑碳中和目标的电力系统源-网-储灵活性资源优化规划[J]. 中国电力, 2021, 54(8): 164–174
JIN Chen, REN Dawei, XIAO Jinyu, et al. Optimization planning on power system supply-grid-storage flexibility resource for supporting the “carbon neutrality” target of China[J]. Electric Power, 2021, 54(8): 164–174
[3] 曹永吉, 张恒旭, 施啸寒, 等. 规模化分布式能源参与大电网安全稳定控制的机制初探[J]. 电力系统自动化, 2021, 45(18): 1–8
CAO Yongji, ZHANG Hengxu, SHI Xiaohan, et al. Preliminary study on participation mechanism of large-scale distributed energy resource in security and stability control of large power grid[J]. Automation of Electric Power Systems, 2021, 45(18): 1–8
[4] ZHANG S Q, MISHRA Y, SHAHIDEHPOUR M. Fuzzy-logic based frequency controller for wind farms augmented with energy storage systems[J]. IEEE Transactions on Power Systems, 2016, 31(2): 1595–1603.
[5] SUN P, et al. Robust coordinated optimization for multi-energy systems based on multiple thermal inertia numerical simulation and uncertainty analysis[J]. Applied Energy, 2021, 296: 116982.
[6] 孙华东, 王宝财, 李文锋, 等. 高比例电力电子电力系统频率响应的惯量体系研究[J]. 中国电机工程学报, 2020, 40(16): 5179–5192
SUN Huadong, WANG Baocai, LI Wenfeng, et al. Research on inertia system of frequency response for power system with high penetration electronics[J]. Proceedings of the CSEE, 2020, 40(16): 5179–5192
[7] 陈彬彬, 孙宏斌, 陈瑜玮, 等. 综合能源系统分析的统一能路理论(一): 气路[J]. 中国电机工程学报, 2020, 40(2): 436–444
CHEN Binbin, SUN Hongbin, CHEN Yuwei, et al. Energy circuit theory of integrated energy system analysis (I): gaseous circuit[J]. Proceedings of the CSEE, 2020, 40(2): 436–444
[8] 王天翔, 程雪坤, 李伟超, 等. 基于变参数减载控制的风电场一次调频策略[J]. 中国电力, 2021, 54(12): 94–101
WANG Tianxiang, CHENG Xuekun, LI Weichao, et al. Primary frequency control strategy for wind farms based on variable parameter de-loading control[J]. Electric Power, 2021, 54(12): 94–101
[9] LI D D, ZHU Q W, LIN S F, et al. A self-adaptive inertia and damping combination control of VSG to support frequency stability[J]. IEEE Transactions on Energy Conversion, 2017, 32(1): 397–398.
[10] 孙鹏, 滕云, 回茜, 等. 考虑热惯性不确定性的多能源系统两阶段鲁棒优化调度模型[J]. 中国电机工程学报, 2021, 41(21): 7249–7261
SUN Peng, TENG Yun, HUI Qian, et al. Two-stage robust optimal scheduling model for multi-energy systems considering thermal inertia uncertainty[J]. Proceedings of the CSEE, 2021, 41(21): 7249–7261
[11] 葛晓琳, 王云鹏, 朱肖和, 等. 计及差异化能量惯性的电–热–气综合能源系统日前优化调度[J]. 电网技术, 2021, 45(12): 4630–4642
GE Xiaolin, WANG Yunpeng, ZHU Xiaohe, et al. Day-ahead optimal scheduling for integrated power, heat and gas energy system considering differentiation energy inertia[J]. Power System Technology, 2021, 45(12): 4630–4642
[12] URIARTE F M, SMITH C, VANBROEKHOVEN S, et al. Microgrid ramp rates and the inertial stability margin[J]. IEEE Transactions on Power Systems, 2015, 30(6): 3209–3216.
[13] 李岩, 滕云, 冷欧阳, 等. 含多端柔性直流互联的交直流电力系统静态安全分析[J]. 电力系统自动化, 2019, 43(10): 155–161
LI Yan, TENG Yun, LENG Ouyang, et al. Static security analysis of AC/DC power system with multi-terminal flexible DC[J]. Automation of Electric Power Systems, 2019, 43(10): 155–161
[14] 张嘉诚, 夏向阳, 邓子豪, 等. 储能电站安全参与电网一次调频的优化控制策略[J]. 中国电力, 2022, 55(2): 19–27
ZHANG Jiacheng, XIA Xiangyang, DENG Zihao, et al. Optimal control strategy for energy storage power station in primary frequency regulation of power grid[J]. Electric Power, 2022, 55(2): 19–27
[15] 刘櫂芮, 贾祺, 严干贵, 等. 基于惯量响应的双馈风电机组动态协调机理研究[J/OL]. 中国电力, 2022: 1–9. (2022-04-20). https://kns.cnki.net/kcms/detail/11.3265.TM.20220419.0811.002.html.
LIU Zhaorui, JIA Qi, YAN Gangui, et al. Research on dynamic coordination mechanism of DFIGs based on inertia response[J/OL]. Electric Power, 2022: 1–9. (2022-04-20). https://kns.cnki.net/kcms/detail/11.3265.TM.20220419.0811.002.html.
[16] RAKHSHANI E, REMON D, CANTARELLAS A M, et al. Virtual synchronous power strategy for multiple HVDC interconnections of multi-area AGC power systems[J]. IEEE Transactions on Power Systems, 2017, 32(3): 1665–1677.
[17] 徐泰山, 丁茂生, 彭慧敏, 等. 交直流电力系统暂态安全稳定在线紧急控制策略并行算法[J]. 电力系统自动化, 2015, 39(10): 174–180
XU Taishan, DING Maosheng, PENG Huimin, et al. A parallel algorithm for determining an online emergency control strategy of transient security and stability for AC-DC power systems[J]. Automation of Electric Power Systems, 2015, 39(10): 174–180
[18] 孙鹏, 滕云, 冷欧阳, 等. 考虑供热系统多重热惯性的电热联合系统协调优化[J]. 中国电机工程学报, 2020, 40(19): 6059–6071
SUN Peng, TENG Yun, LENG Ouyang, et al. Coordinated optimization of combined heat and power systems considering multiple thermal inertia of heating system[J]. Proceedings of the CSEE, 2020, 40(19): 6059–6071
[19] 罗永伟, 李成仁, 张泠, 等. 考虑复合储能的综合能源系统能量模拟与优化调度[J]. 中国电力, 2020, 53(10): 96–103
LUO Yongwei, LI Chengren, ZHANG Ling, et al. Energy simulation and optimal scheduling of integrated energy system considering hybrid energy storage[J]. Electric Power, 2020, 53(10): 96–103
[20] 刘晓龙. 广东特高压交直流混联电网安全稳定分析与控制[D]. 长沙: 湖南大学, 2014
LIU Xiaolong. The stability analysis and control of Guangdong UHV AC/DC hybrid power grid[D]. Changsha: Hunan University, 2014.
[21] 屈小云, 吴鸣, 李奇, 等. 多能互补综合能源系统综合评价研究进展综述[J]. 中国电力, 2021, 54(11): 153–163
QU Xiaoyun, WU Ming, LI Qi, et al. Review on comprehensive evaluation of multi-energy complementary integrated energy systems[J]. Electric Power, 2021, 54(11): 153–163
[22] 孙鹏, 滕云, 回茜, 等. 考虑异质能流输运特性的多能源系统惯量极限优化[J]. 中国电机工程学报, 2022, 42(10): 3642–3656
SUN Peng, TENG Yun, HUI Qian, et al. Inertia limit optimization of multi-energy system considering the transport characteristics of heterogeneous energy flow[J]. Proceedings of the CSEE, 2022, 42(10): 3642–3656
[23] TORRES L M A, LOPES L A C, MORÁN T L A, et al. Self-tuning virtual synchronous machine: a control strategy for energy storage systems to support dynamic frequency control[J]. IEEE Transactions on Energy Conversion, 2014, 29(4): 833–840.
[24] BHATTACHARJEE C, ROY B K. Fuzzy-supervisory control of a hybrid system to improve contractual grid support with fuzzy proportional-derivative and integral control for power quality improvement[J]. IET Generation, Transmission & Distribution, 2018, 12(7): 1455–1465.