基于纵横交叉算法的新型电力系统惯量延迟优化控制策略

doi:10.11930/j.issn.1004-9649.202312029

中国电力 ›› 2024, Vol. 57 ›› Issue (7): 12-20.DOI: 10.11930/j.issn.1004-9649.202312029

• 新型电力系统不确定性建模与运行决策 • 上一篇下一篇

基于纵横交叉算法的新型电力系统惯量延迟优化控制策略

王雪¹(), 刘林¹, 刘文迪², 翟延鹏², 杨苓²(), 许方园², 高岩³, 张纪欣³

1. 国网能源研究院有限公司，北京　102209
2. 广东工业大学自动化学院，广东广州　510006
3. 国网保定供电公司，河北保定　071051

收稿日期:2023-12-08 录用日期:2024-03-07 发布日期:2024-07-23 出版日期:2024-07-28
作者简介:王雪（1978—），男，硕士，高级工程师，从事能源互联网、新型电力系统等研究，E-mail：wangxue@sgeri.sgcc.com.cn
杨苓（1992—），女，通信作者，博士，讲师，硕士生导师，从事新型电力系统稳定性研究，E-mail：1650148795@qq.com
基金资助:
国家电网有限公司科技项目（新型电力系统下系统惯量计量、商业模式及关键技术研究，1400-202357351A-1-1-ZN）。

A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization

Xue WANG¹(), Lin LIU¹, Wendi LIU², Yanpeng ZHAI², Ling YANG²(), Fangyuan XU², Yan GAO³, Jixin ZHANG³

1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
2. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
3. State Grid Baoding Electric Power Supply Company, Baoding 071051, China

Received:2023-12-08 Accepted:2024-03-07 Online:2024-07-23 Published:2024-07-28
Supported by:
This work is supported by Science and Technology Project of SGCC (Research on Key Technologies of System Inertia Metering and Commercial Modes under New Power System, No.1400-202357351A-1-1-ZN).

摘要/Abstract

摘要：

以同步发电机为主导的电力系统正在演变为以虚拟同步机（virtual synchronous generator，VSG）为主导的新型电力系统，电力系统的动态特性发生了重大变化。现阶段，绝大多数文献的研究场景是在无穷大电源的基础下，分析单机或多机并网系统的动态特性，对全部虚拟同步机为主导的电力系统动态特性研究较少。因此，先建立了全部虚拟同步机为主导的三机九节点系统的模型，通过微分方程仿真得到系统的动态特性曲线。然后，利用纵横交叉算法（crisscross optimization，CSO），延迟优化新型电力系统惯量，并与无优化控制系统作对比，在系统发生扰动后，优化后的系统振荡幅值变小，调节时间变小。最后，通过仿真验证了上述结论的正确性。

关键词: 三机九节点, 纵横交叉算法, 虚拟同步机, 延迟优化, 动态特性

Abstract:

The power system, traditionally dominated by synchronous generators, is evolving into a new power system where virtual synchronous generators (VSGs) take the lead. This transition results in significant changes in the system's dynamic characteristics. Currently, most literature focuses on analyzing the dynamic behaviors of standalone or multi-machine grid systems based on an assumption of infinite power supply, with limited research on the dynamic characteristics of new power systems dominated entirely by VSGs. Therefore, this study first builds a model of a three-machine, nine-node system where VSGs are the primary controllers and conducts transient simulations using differential equations. Subsequently, the crisscross optimization (CSO) algorithm is employed to optimize the inertia delay in the new power system. A comparison is made between the optimized control system and the non-optimized system. The results demonstrate that the optimized system exhibits reduced oscillation amplitude and shorter adjustment times after disturbances occur. Through simulations, the validity of the conclusions is verified.

Key words: three-machine, nine-node system, crisscross optimization (CSO), virtual synchronous generator (VSG), delay optimization, dynamic characteristics

王雪, 刘林, 刘文迪, 翟延鹏, 杨苓, 许方园, 高岩, 张纪欣. 基于纵横交叉算法的新型电力系统惯量延迟优化控制策略[J]. 中国电力, 2024, 57(7): 12-20.

Xue WANG, Lin LIU, Wendi LIU, Yanpeng ZHAI, Ling YANG, Fangyuan XU, Yan GAO, Jixin ZHANG. A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization[J]. Electric Power, 2024, 57(7): 12-20.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202312029

https://www.electricpower.com.cn/CN/Y2024/V57/I7/12

图/表 10

图 1 VSG为主导的三机九节点系统

Fig.1 Three-machine nine-bus system dominated by VSG

图 2 VSG的拓扑结构

Fig.2 Topological structure of VSG

图 3 VSG的电路结构

Fig.3 Circuit structure of VSG

图 4 基于CSO算法的延迟控制策略原理

Fig.4 Principle of delay control strategy based on CSO algorithm

图 5 基于CSO的新型电力系统惯量延迟优化控制流程

Fig.5 Optimized control flowchart of new power system inertia delay based on CSO

表 1 新型电力系统的参数

Table 1 Parameters of new power system

参数		数值
P_VSG(p.u.)		1.0646, 1.6290, 0.8500
Q_VSG(p.u.)		0.7109, 0.6317, 0.3704
X_f(p.u.)		0.014
\|E₀\|(p.u.)		1.0200, 1.0190, 1.0152
δ₀(p.u.)		0.0145, 0.1166, 0.0409
ω₀(p.u.)		1, 1, 1
I_d0(p.u.)		1.0438, 1.5986, 0.8373
I_q0(p.u.)		–0.7191, –0.6610, –0.3765

图 6 新型电力系统动态特性的变化

Fig.6 Changes in dynamic characteristics of new power system

图 7 3台VSG的频率动态特性曲线

Fig.7 Frequency dynamic characteristic curves of three VSGs

图 8 3台VSG的功率动态特性曲线

Fig.8 Power dynamic characteristic curves of three VSGs

图 9 惯量延迟控制和惯量实时控制

Fig.9 Inertia delay control and real-time control

参考文献 24

1	MARKOVIC U, STANOJEV O, ARISTIDOU P, et al. Understanding small-signal stability of low-inertia systems[J]. IEEE Transactions on Power Systems, 2021, 36 (5): 3997- 4017. DOI
2	李振垚, 甘德强, 栾某德, 等. 基于全状态模型的自同步电压源并网系统频率稳定分析[J]. 中国电力, 2023, 56 (5): 182- 192.
	LI Zhenyao, GAN Deqiang, LUAN Moude, et al. Frequency stability analysis based on full state model in autonomous-synchronization voltage source interfaced power system[J]. Electric Power, 2023, 56 (5): 182- 192.
3	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]. 中国电力, 2022, 55 (7): 142- 151.
	LIU Zhaorui, JIA Qi, YAN Gangui, et al. Dynamic coordination mechanism of DFIGs based on inertia response[J]. Electric Power, 2022, 55 (7): 142- 151.
4	郭小龙, 张江飞, 亢朋朋, 等. 含基于PI控制受端二次调频的特高压直流虚拟同步控制策略[J]. 中国电力, 2022, 55 (11): 66- 72.
	GUO Xiaolong, ZHANG Jiangfei, KANG Pengpeng, et al. Virtual synchronization control strategy for UHVDC with secondary frequency modulation based on PI control[J]. Electric Power, 2022, 55 (11): 66- 72.
5	李建林, 丁子洋, 刘海涛, 等. 构网型储能变流器及控制策略研究[J]. 发电技术, 2022, 43 (5): 679- 686.
	LI Jianlin, DING Ziyang, LIU Haitao, et al. Research on grid-forming energy storage converters and control strategies[J]. Power Generation Technology, 2022, 43 (5): 679- 686.
6	吕志鹏, 盛万兴, 钟庆昌, 等. 虚拟同步发电机及其在微电网中的应用[J]. 中国电机工程学报, 2014, 34 (16): 2591- 2603.
	LÜ Zhipeng, SHENG Wanxing, ZHONG Qingchang, et al. Virtual synchronous generator and its applications in micro-grid[J]. Proceedings of the CSEE, 2014, 34 (16): 2591- 2603.
7	吴恒, 阮新波, 杨东升, 等. 虚拟同步发电机功率环的建模与参数设计[J]. 中国电机工程学报, 2015, 35 (24): 6508- 6518.
	WU Heng, RUAN Xinbo, YANG Dongsheng, et al. Modeling of the power loop and parameter design of virtual synchronous generators[J]. Proceedings of the CSEE, 2015, 35 (24): 6508- 6518.
8	WANG F, ZHANG L J, FENG X Y, et al. An adaptive control strategy for virtual synchronous generator[J]. IEEE Transactions on Industry Applications, 2018, 54 (5): 5124- 5133. DOI
9	LI J, WEN B Y, WANG H Y. Adaptive virtual inertia control strategy of VSG for micro-grid based on improved Bang-Bang control strategy[J]. IEEE Access, 2019, 7, 39509- 39514. DOI
10	李鹏, 王奔, 赵思臣. 微网虚拟同步发电机下的自适应滑模控制策略[J]. 电气自动化, 2017, 39 (3): 86- 89. DOI
	LI Peng, WANG Ben, ZHAO Sichen. An adaptive sliding mode control strategy for the virtual synchronous generator of the micro-grid[J]. Electrical Automation, 2017, 39 (3): 86- 89. DOI
11	YAO F J, ZHAO J B, LI X J, et al. RBF neural network based virtual synchronous generator control with improved frequency stability[J]. IEEE Transactions on Industrial Informatics, 2021, 17 (6): 4014- 4024. DOI
12	张波, 颜湘武, 黄毅斌, 等. 虚拟同步机多机并联稳定控制及其惯量匹配方法[J]. 电工技术学报, 2017, 32 (10): 42- 52.
	ZHANG Bo, YAN Xiangwu, HUANG Yibin, et al. Stability control and inertia matching method of multi-parallel virtual synchronous generators[J]. Transactions of China Electrotechnical Society, 2017, 32 (10): 42- 52.
13	宋琼, 张辉, 孙凯, 等. 多微源独立微网中虚拟同步发电机的改进型转动惯量自适应控制[J]. 中国电机工程学报, 2017, 37 (2): 412- 424.
	SONG Qiong, ZHANG Hui, SUN Kai, et al. Improved adaptive control of inertia for virtual synchronous generators in islanding micro-grid with multiple distributed generation units[J]. Proceedings of the CSEE, 2017, 37 (2): 412- 424.
14	任碧莹, 邱姣姣, 刘欢, 等. 基于虚拟同步发电机双机并联系统的参数自调节优化控制策略[J]. 电工技术学报, 2019, 34 (1): 128- 138.
	REN Biying, QIU Jiaojiao, LIU Huan, et al. Optimization control strategy of self-adjusting parameter based on dual-parallel virtual synchronous generators[J]. Transactions of China Electrotechnical Society, 2019, 34 (1): 128- 138.
15	ALIPOOR J, MIURA Y, ISE T. Stability assessment and optimization methods for microgrid with multiple VSG units[J]. IEEE Transactions on Smart Grid, 2018, 9 (2): 1462- 1471. DOI
16	CHEN S M, SUN Y, HAN H, et al. Active power oscillation suppression and dynamic performance improvement for multi-VSG grids based on consensus control via COI frequency[J]. International Journal of Electrical Power & Energy Systems, 2023, 147.
17	CHEN S M, SUN Y, HAN H, et al. Dynamic frequency performance analysis and improvement for parallel VSG systems considering virtual inertia and damping coefficient[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2023, 11 (1): 478- 489. DOI
18	POURNAZARIAN B, SANGRODY R, LEHTONEN M, et al. Simultaneous optimization of virtual synchronous generators parameters and virtual impedances in islanded microgrids[J]. IEEE Transactions on Smart Grid, 2022, 13 (6): 4202- 4217. DOI
19	YANG Z Q, ZHAN M, LIU D, et al. Small-signal synchronous stability of a new-generation power system with 100% renewable energy[J]. IEEE Transactions on Power Systems, 2023, 38 (5): 4269- 4280. DOI
20	杜燕, 朱轲, 杨向真, 等. 考虑频率耦合的VSG虚拟阻抗优化设计[J]. 高电压技术, 2022, 48 (12): 5057- 5067.
	DU Yan, ZHU Ke YANG Xiangzhen, et al. Optimal design of virtual synchronous generator virtual impedance considering frequency coupling[J]. High Voltage Engineering, 2022, 48 (12): 5057- 5067.
21	GE P J, TU C M, XIAO F, et al. Design-oriented analysis and transient stability enhancement control for a virtual synchronous generator[J]. IEEE Transactions on Industrial Electronics, 2023, 70 (3): 2675- 2684. DOI
22	HU Y W, SHAO Y T, YANG R C, et al. A configurable virtual impedance method for grid-connected virtual synchronous generator to improve the quality of output current[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2020, 8 (3): 2404- 2419. DOI
23	杨苓, 黄泽杭, 陈璟华, 等. 基于纵横交叉算法的直流微电网趋优稳定性分析[J]. 高电压技术, 2023, 49 (11): 4632- 4641.
	YANG Ling, HUANG Zehang, CHEN Jinghua, et al. Optimal stability analysis of DC microgrid based on crisscross optimization algorithm[J]. High Voltage Engineering, 2023, 49 (11): 4632- 4641.
24	殷豪, 丁伟锋, 陈顺, 等. 基于长短时记忆网络-纵横交叉算法的含高比例新能源电力市场日前电价预测[J]. 电网技术, 2022, 46 (2): 472- 480.
	YIN Hao, DING Weifeng, CHEN Shun, et al. Day-ahead electricity price forecasting of electricity market with high proportion of new energy based on LSTM-CSO model[J]. Power System Technology, 2022, 46 (2): 472- 480.

[1]	夏向阳, 蒋戴宇, 曾小勇, 龚芬, 吴小忠, 华夏, 罗彦鹏, 石超. 基于虚拟振荡器控制的储能变流器控制策略研究[J]. 中国电力, 2024, 57(11): 70-77.
[2]	孙佳航, 王小华, 黄景光, 曹豪, 梅诺男, 李浙栋. 基于MPC-VSG的孤岛微电网频率和电压动态稳定控制策略[J]. 中国电力, 2023, 56(6): 51-60,81.
[3]	曾琮, 黄强, 陈德, 郑晓莹, 孟安波. 基于改进纵横交叉算法的电网最优潮流计算[J]. 中国电力, 2021, 54(9): 9-16.
[4]	杨晓楠, 郎燕生, 姚远, 陈艳波, 朱承治. 电-气综合能源系统状态估计可观测性分析[J]. 中国电力, 2020, 53(10): 133-139.
[5]	吕培鑫, 庞力平, 李明, 段立强, 杨勇平. 太阳能辅助燃煤发电系统变工况动态特性分析[J]. 中国电力, 2019, 52(7): 108-116.
[6]	王珠, 韩翔, 许立环, 赵永亮, 种道彤. 一次调频参数对超超临界二次再热机组性能的影响[J]. 中国电力, 2019, 52(5): 54-62.
[7]	王亚欧, 陶谦, 陈波, 管诗骈, 张恩先. 自然循环双压燃气轮机余热锅炉动态特性分析[J]. 中国电力, 2018, 51(2): 176-184.
[8]	高爱民，殳建军，于国强，张卫庆，徐华冠，薛锐. K型热电偶动态特性试验与建模分析[J]. 中国电力, 2016, 49(10): 12-16.
[9]	林俐，李丹，齐军，张红光. 风电集群功率波动下系统关键变量提取及特性分析[J]. 中国电力, 2015, 48(9): 113-118.

基于纵横交叉算法的新型电力系统惯量延迟优化控制策略

A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 24

相关文章 9

编辑推荐

Metrics

模态框（Modal）标题

基于纵横交叉算法的新型电力系统惯量延迟优化控制策略

A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 24

相关文章 9

编辑推荐

Metrics