基于多源储能协同的交直流送端系统惯量优化控制模型

doi:10.11930/j.issn.1004-9649.202205065

摘要/Abstract

摘要： 针对高比例新能源接入下的交直流送端系统惯性水平较低的问题，提出基于多源储能协同的交直流送端系统惯量优化控制方法。首先，考虑大规模新能源接入后会影响送端系统的能量平衡关系，建立含高比例风电的交直流送端系统潮流方程。其次，考虑弱送端系统惯量支撑不足的问题，提出一种电、热、气能源转换与存储设备的多源储能系统，分析多源储能协同下的系统惯量支撑特性。在此基础上，考虑送端系统频率稳定，提出基于多源储能协同的交直流送端系统惯量优化控制模型。最后，以北方某区域交直流送端系统为仿真算例，验证了所提模型的有效性。本文所提模型可为含大规模新能源的交直流系统的惯量稳定控制提供理论依据，实现交直流送端系统的安全稳定运行。

关键词: 多源储能, 惯量, 频率, 交直流系统, 新能源

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

项颂, 苏鹏, 吴坚, 刘鑫, 马继涛. 基于多源储能协同的交直流送端系统惯量优化控制模型[J]. 中国电力, 2023, 56(4): 68-76.

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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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202205065

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

参考文献

[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.