电制甲醇系统虚拟惯量建模及其抗扰动分段控制方法

Virtual Inertia Modeling and Disturbance-Resistant Segmented Control Method for Electro-Methanol Production System

摘要

针对传统功率控制下电制甲醇系统并网导致电力系统储存转动惯量降低,影响电力系统稳定运行的问题,建立了电制甲醇系统虚拟惯量模型,并提出一种抗扰动分段控制方法,提高了电制甲醇系统的惯性支撑能力．首先,针对电制甲醇系统无转动惯量的问题,结合甲醇电解槽、甲醇罐的运行特性,对电制甲醇系统的运行特征进行虚拟惯量表征,引入其虚拟惯量的概念,建立了电制甲醇系统的虚拟惯量模型,使无转动惯量的电制甲醇系统具备惯性支撑能力．其次,针对电制甲醇系统传统控制策略的不足,提出电制甲醇系统抗扰动分段控制方法,引入电网频率偏差信号,将电制甲醇系统的运行状态划分为惯量支撑区与非惯量支撑区,在电网受到扰动时,运行状态为惯量支撑区,使电制甲醇系统快速调节运行功率为电网提供短时惯性支持；在电网稳定运行时,运行状态为非惯量支撑区,使电制甲醇系统以额定功率运行,高效率制取甲醇．引入电制甲醇系统功率控制增益系数,控制电制甲醇系统的运行状态,保障其安全运行．最后,以某海岛的电网结构为例,利用MATLAB/Simulink软件建立并网仿真模型,在不同的电网扰动下进行时域仿真．结果表明,所提出的电制甲醇系统抗扰动分段控制方法在不同的扰动情况下均能快速响应电力系统扰动,为电网提供短时惯性支持,提高电力系统运行的稳定性．

Abstract

The presence of reduced stored rotational inertia in the power system, attributable to the integration of the electro-methanol production system into the grid under conventional power control, impacts the stable operation of the power system. To address this issue, a virtual inertia model is developed for the electro-methanol production system, along with a disturbance-resistant segmented control method that aims to enhance its inertia support capability. First, given the absence of rotational inertia in the electro-methanol production system, a virtual inertia characterization is conducted based on the operational characteristics of the methanol electrolyzer and methanol storage tank. The concept of virtual inertia is hereby introduced. Subsequently, a virtual inertia model is developed, enabling the inertia-less electro-methanol production system to provide inertia support. Second, a disturbance-resistant segmented control method is proposed to overcome the limitations of conventional control strategies. This method incorporates the grid frequency deviation signal to divide the operating states of the electro-methanol production system into an inertia support region and a non-inertia support region. Under grid disturbance conditions, the system enters the inertia support region and rapidly adjusts its operating power to provide short-term inertia support. Conversely, under stable grid conditions, the system efficiently produces methanol in the non-inertia support region at rated power. Furthermore, a power control gain coefficient is incorporated to regulate the operating state of the electro-methanol production system and ensure its safe operation. Finally, a grid-connected simulation model was constructed in MATLAB/Simulink based on the power grid structure of an island, and time-domain simulations were conducted under various grid disturbance scenarios. The findings indicate that the proposed disturbance-resistant segmented control method will prompt a swift response of the electro-methanol production system to various disturbances, thereby providing short-term inertia support and enhancing the stability of power system operation.

关键词

电制甲醇系统 / 虚拟惯量 / 惯量响应 / 频率支持 / 频率响应

Key words

electro-methanol production system / virtual inertia / inertia response / frequency support / frequency response

参考文献

[1] 张云州, 张宁, 代红才, 等. 中国电力系统低碳发展分析模型构建与转型路径比较[J]. 中国电力, 2021, 54(3):1-11.

[2] Zhang Yunzhou, Zhang Ning, Dai Hongcai, et al. Model construction and pathways of low—carbon transition of China’s power system[J]. Electric Power, 2021, 54(3):1-11(in Chinese).

[3] 郑富辉. 甲醇作为清洁能源的影响与可持续发展分析[J]. 投资与合作, 2024(4):71-73.

[4] Zheng Fuhui. Analysis of the impact and sustainable development of methanol as a clean energy source[J]. Investment and Cooperation, 2024(4):71-73(in Chinese).

[5] 陈文倩, 辛小南, 程志平. 基于虚拟同步发电机的光储并网发电控制技术[J]. 电工技术学报, 2018, 33(增2):538-545.

[6] Chen Wenqian, Xin Xiaonan, Cheng Zhiping. Control of grid—connected of photovoltaic system with storage based on virtual synchronous generator[J]. Transactions of China Electrotechnical Society, 2018, 33(Suppl 2):538-545(in Chinese).

[7] 崔健, 房建军. 虚拟直流电机技术参数分析及虚拟惯量自适应控制[J]. 电源学报, 2022, 20(6):192-202.

[8] Cui Jian, Fang Jianjun. Parameters analysis and virtual inertia adaptive control of virtual DC motor technique[J]. Journal of Power Supply, 2022, 20(6):192-202(in Chinese).

[9] 卢军, 杨沛豪, 何凯琳. 新能源储能微电网惯量支撑性能研究[J]. 电源学报, 2024, 22(4):182-191.

[10] Lu Jun, Yang Peihao, He Kailin. Research on inertia support performance of new energy storage microgrid[J]. Journal of Power Supply, 2024, 22(4):182-191(in Chinese).

[11] 王毅, 陈中, 周涛, 等. 计及新能源虚拟惯量的电力系统最低惯量评估[J]. 电气工程学报, 2024, 19(1):254-260.

[12] Wang Yi, Chen Zhong, Zhou Tao, et al. Evaluation of minimum inertia of power system considering virtual inertia of renewable energy[J]. Journal of Electrical Engineering, 2024, 19(1):254-260(in Chinese).

[13] 杜威, 姜齐荣, 陈蛟瑞. 微电网电源的虚拟惯性频率控制策略[J]. 电力系统自动化, 2011, 35(23):26-31, 36.

[14] Du Wei, Jiang Qirong, Chen Jiaorui. Frequency control strategy of distributed generations based on virtual inertia in a microgrid[J]. Automation of Electric Power Systems, 2011, 35(23):26-31,36(in Chinese).

[15] 李世春, 邓蕊, 薛臻瑶, 等. 基于虚拟惯量计算的储能虚拟惯量补偿控制方法[J]. 电力系统及其自动化学报, 2023, 35(11):114-121.

[16] Li Shichun, Deng Rui, Xue Zhenyao, et al. Virtual inertia compensation control method for energy storage device based on calculation of virtual inertia[J]. Proceedings of the CSU—EPSA, 2023, 35(11):114-121(in Chinese).

[17] 李世春, 张业丽, 刘颂凯, 等. 跟网型电化学储能虚拟惯性常数的常数化计算方法[J]. 电力系统自动化, 2024, 48(20):149-158.

[18] Li Shichun, Zhang Yeli, Liu Songkai, et al. Constantized calculation method of virtual inertia constant for grid—following electrochemical energy storage[J]. Automation of Electric Power Systems, 2024, 48(20):149-158(in Chinese).

[19] Wang T, Jin M X, Li Y D, et al. Adaptive damping control scheme for wind grid—connected power systems with virtual inertia control[J]. IEEE Transactions on Power Systems, 2022, 37(5):3902-3912.

[20] 朱晓荣, 蔡杰, 王毅, 等. 风储直流微网虚拟惯性控制技术[J]. 中国电机工程学报, 2016, 36(1):49-58.

[21] Zhu Xiaorong, Cai Jie, Wang Yi, et al. Virtual inertia control of wind—battery—based DC micro—grid[J]. Proceedings of the CSEE, 2016, 36(1):49-58(in Chinese).

[22] 张祥宇, 胡剑峰, 付媛, 等. 风储联合系统的虚拟惯量需求与协同支撑[J]. 电工技术学报, 2024, 39(3):672-685.

[23] Zhang Xiangyu, Hu Jianfeng, Fu Yuan, et al. Virtual inertia demand and collaborative support of wind power and energy storage system[J]. Transactions of China Electrotechnical Society, 2024, 39(3):672-685(in Chinese).

[24] 张冠锋, 杨俊友, 王海鑫, 等. 基于虚拟同步机技术的风储系统协调调频控制策略[J]. 电工技术学报, 2022, 37(增1):83-92.

[25] Zhang Guanfeng, Yang Junyou, Wang Haixin, et al. Coordinated frequency modulation control strategy of wind farm—storage system based on virtual synchronous generator technology[J]. Transactions of China Electrotechnical Society, 2022, 37(Suppl 1):83-92(in Chinese).

[26] 张祥宇, 杨黎, 朱晓荣, 等. 光储发电系统的虚拟转动惯量控制[J]. 电力自动化设备, 2017, 37(9):109-115.

[27] Zhang Xiangyu, Yang Li, Zhu Xiaorong, et al. Virtual rotational inertia control of PV generation system with energy storage devices[J]. Electric Power Automation Equipment, 2017, 37(9):109-115(in Chinese).

[28] Huang X, Wang K Y, Li G J, et al. Virtual inertia—based control strategy of two—stage photovoltaic inverters for frequency support in islanded micro—grid[J]. Electronics, 2018, 7(11):340.

[29] 张常友, 朱作滨. 基于储能协调的光储微网VSG控制策略研究[J]. 电气工程学报, 2023, 18(1):228-234.

[30] Zhang Changyou, Zhu Zuobin. Research on VSG control strategy of optical storage microgrid based on energy storage coordination[J]. Journal of Electrical Engineering, 2023, 18(1):228-234(in Chinese).

[31] Dozein M G, de Corato A M, Mancarella P. Virtual inertia response and frequency control ancillary services from hydrogen electrolyzers[J]. IEEE Transactions on Power Systems, 2022, 38(3):2447-2459.

[32] 冯沛, 余会明, 聂工哲, 等. 基于电流型虚拟同步机控制的电解制氢负荷主动调频策略[J]. 现代电力, 2024, 41(6):1017-1021.

[33] Feng Pei, Yu Huiming, Nie Gongzhe, et al. Active frequency regulation strategy for electrolytic hydrogen production load based on current—type virtual synchronous machine control[J]. Modern Electric Power, 2024, 41(6):1017-1021(in Chinese).

[34] 代灵英, 苏永庆, 古铭岚, 等. C—Cu₂O复合电极用于电化学还原CO₂制甲醇[J]. 应用化工, 2022, 51(7):1946-1949.

[35] Dai Lingying, Su Yongqing, Gu Minglan, et al. C—Cu₂O composite electrode using for electrochemical reduction of CO₂ to methanol[J]. Applied Chemical Industry, 2022, 51(7):1946-1949(in Chinese).

基金资助

国家自然科学基金资助项目(U25B20206)

国家自然科学基金资助项目(52277201)

中央高校基本科研业务费专项资金资助项目(2682024GF001)

四川省高效电源变换技术工程研究中心基金资助项目