基于扰动观测器的广义风/光一体化控制策略研究

doi:10.11930/j.issn.1004-9649.201901112

中国电力 ›› 2020, Vol. 53 ›› Issue (5): 89-99.DOI: 10.11930/j.issn.1004-9649.201901112

基于扰动观测器的广义风/光一体化控制策略研究

张雪猛^1,2, 王睿¹, 马大中¹, 杜楷³

1. 东北大学，辽宁沈阳 110819;
2. 深圳市汇川技术股份有限公司广东深圳 518101;
3. 中国电建集团西北勘测设计研究院有限公司陕西西安 710065

收稿日期:2019-01-30 修回日期:2019-04-17 发布日期:2020-05-05
作者简介:张雪猛(1993-),男,硕士研究生,从事可再生能源的并网控制策略研究,E-mail:zhangxuemeng001@163.com;王睿(1993-),男,通信作者,博士研究生,从事为分布式可再生能源电磁时间尺度稳定性分析和控制策略研究,E-mail:1610232@stu.neu.edu.cn;马大中(1982-),男,博士,副教授,从事故障诊断、容错控制、能源管理系统以及分布式发电系统、微网和能源互联网的优化与控制研究,E-mail:madazhong@ise.neu.edu.cn;杜楷(1993-),男,学士,助理工程师,从事光伏、风机等可再生能源发电技术研究,E-mail:806903591@qq.com
基金资助:
国家重点研发计划资助项目(2017YFF0108800)；国家自然科学基金资助项目(61773109，61627809)

Research on the Disturbance Observer Based Generalized Wind/Solar Intergration Control Strategy

ZHANG Xuemeng^1,2, WANG Rui¹, MA Dazhong¹, DU Kai³

1. Northeastern University, Shenyang 110819, China;
2. Shenzhen Inovance Technology Co., Ltd, Shenzhen 518101, China;
3. China Electrical Construction Group Northwest Survey and Design Research Institute Co., Ltd., Xi'an 710065, China

Received:2019-01-30 Revised:2019-04-17 Published:2020-05-05
Supported by:
This work is supported by National Key R&D Program of China (No.2017YFF0108800) and National Natural Science Foundation of China (No.61773109, No.61627809.)

摘要/Abstract

摘要： 随着光伏、风电等分布式可再生能源高比例接入微电网，其发电出力不确定性给微电网的安全稳定运行带来显著的压力。提出了一种基于广义风/光同构模型的扰动观测器。首先通过建立风机接口整流器状态方程与光伏接口Boost电路状态方程的类比模型，提出了单输入单输出的风/光同构等效模型，使风机和光伏可以达到广义模型一致性。其次，针对光伏、风机等分布式能源出力不确定所造成的状态变量部分未知问题，通过引入连续时间模型的扰动观测器对等效的广义Boost模型进行控制，在光照或风速变化时，可以实现迅速跟随变化，同时随着时间的推移，扰动观测器可以实现无差调节，从而达到消除扰动而带来的部分状态未知的目的。更进一步，利用电压-电流双扰动观测器可以获得稳定的风/光混合系统的输出电压、电流及功率，并且输出量迅速达到给定值。最后通过仿真验证了所提出方法的有效性和可靠性。

关键词: 风/光混合系统, 不确定性, 广义一致模型, 扰动观测器, 状态未知

Abstract: With the high proportion of distributed renewable energy sources, such as photovoltaic and wind power, connected to the micro-grid, the uncertainty of its power generation output brings significant pressure to the safe and stable operation of the micro grid. Based on this, a disturbance observer based on generalized wind/solar isomorphic model is proposed. Firstly, by establishing the analogy model between the state equation of the interface rectifier and the state equation of the photovoltaic interface Boost circuit, the equivalent model of the isomorphic photovoltaic/wind turbine with single input and single output is proposed, so that the wind turbine and photovoltaic can achieve the consistency of the generalized model. Secondly, in order to solve the problem of partially unknown state variables caused by the output uncertainties of distributed energy such as photovoltaic and wind turbines, a continuous-time disturbance observer is introduced to control the equivalent generalized Boost model. When the illumination or wind speed changes, the disturbance observer can quickly follow the change. At the same time, with the passage of time, the disturbance observer can achieve no-difference adjustment, so as to control the equivalent generalized Boost model. The purpose of eliminating the partial state unknown caused by disturbance is achieved. Furthermore, the output voltage, current and power of a stable wind/photovoltaic hybrid system can be obtained by using a voltage-current double disturbance observer, and the output can quickly reach the given value. Finally, the effectiveness and reliability of the proposed method are verified by simulation.

Key words: wind/solar hybrid system, uncertainty, generalized uniform model, disturbance observer, status unknown

张雪猛, 王睿, 马大中, 杜楷. 基于扰动观测器的广义风/光一体化控制策略研究[J]. 中国电力, 2020, 53(5): 89-99.

ZHANG Xuemeng, WANG Rui, MA Dazhong, DU Kai. Research on the Disturbance Observer Based Generalized Wind/Solar Intergration Control Strategy[J]. Electric Power, 2020, 53(5): 89-99.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201901112

https://www.electricpower.com.cn/CN/Y2020/V53/I5/89

参考文献

[1] 汪惟源, 乔颖, 窦飞, 等. 基于改进遗传算法的海上风电场集电系统拓扑优化[J]. 中国电力, 2019, 52(1): 63–68
WANG Weiyuan, QIAO Ying, DOU Fei, et al. Optimization of offshore wind farm collector systems based on improved genetic algorithm[J]. Electric Power, 2019, 52(1): 63–68
[2] 王睿, 孙秋野, 马大中, 等. 微网中分布式电源锁相环建模及其稳定性分析[J]. 中国电机工程学报, 2018, 38(24): 7338–7348, 7460
WANG Rui, SUN Qiuye, MA Dazhong, et al. Modeling and stability analysis of distributed generation phase locked loop in microgrid[J]. Proceedings of the CSEE, 2018, 38(24): 7338–7348, 7460
[3] 杨磊, 罗萍萍, 王高猛, 等. 配电网单-三相混合潮流计算模型及算法[J]. 中国电力, 2019, 52(1): 102–109
YANG Lei, LUO Pingping, WANG Gaomeng, et al. Method of distribution network three-phase power flow calculation based on a hybrid single-three phase model[J]. Electric Power, 2019, 52(1): 102–109
[4] 邓卫华, 张波, 胡宗波. 电力电子变压器电路拓扑与控制策略研究[J]. 电力系统自动化, 2003, 27(20): 40–44, 48
DENG Weihua, ZHANG Bo, HU Zongbo. Research on the topology and control scheme of power electronic transformer[J]. Automation of Electric Power Systems, 2003, 27(20): 40–44, 48
[5] 姜建国, 乔树通, 郜登科. 电力电子装置在电力系统中的应用[J]. 电力系统自动化, 2014, 38(3): 2–6, 18
JIANG Jianguo, QIAO Shutong, GAO Dengke. Application of power electronic equipments in power system[J]. Automation of Electric Power Systems, 2014, 38(3): 2–6, 18
[6] WANG R, SUN Q Y, MA D Z, et al. The small-signal stability analysis of the droop-controlled converter in electromagnetic timescale[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3): 1459–1469.
[7] WANG R, SUN Q Y, CHENG Q F, et al. The stability analysis of a multi-port single-phase solid-state transformer in the electromagnetic timescale[J]. Energies, 2018, 11(9): 2250.
[8] 国家电网公司“电网新技术前景研究”项目咨询组. 大规模储能技术在电力系统中的应用前景分析[J]. 电力系统自动化, 2013, 37(1): 3–8, 30
Consulting Group of State Grid Corporation of Chin to Prospects of New Technologies in Power System. An analysis of prospects for application of large-scale energy storage technology in power systems[J]. Automation of Electric Power Systems, 2013, 37(1): 3–8, 30
[9] YAO L Z, YANG B, CUI H F, et al. Challenges and progresses of energy storage technology and its application in power systems[J]. Journal of Modern Power Systems and Clean Energy, 2016, 4(4): 519–528.
[10] CAO Y J, LI Q, TAN Y, et al. A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(3): 399–411.
[11] 孙秋野, 滕菲, 张化光, 等. 能源互联网动态协调优化控制体系构建[J]. 中国电机工程学报, 2015, 35(14): 3667–3677
SUN Qiuye, TENG Fei, ZHANG Huaguang, et al. Construction of dynamic coordinated optimization control system for energy Internet[J]. Proceedings of the CSEE, 2015, 35(14): 3667–3677
[12] 谢国辉, 栾凤奎, 李娜娜, 等. 新能源消纳影响因素的贡献度评估模型[J]. 中国电力, 2018, 51(11): 125–131
XIE Guohui, LUAN Fengkui, LI Nana, et al. Contribution evaluating model for the new energy accommodation influencing factors[J]. Electric Power, 2018, 51(11): 125–131
[13] LI H, YANG D, SU W Z, et al. An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading[J]. IEEE Transactions on Industrial Electronics, 2019, 66(1): 265–275.
[14] AHMED J, SALAM Z. An enhanced adaptive P&O MPPT for fast and efficient tracking under varying environmental conditions[J]. IEEE Transactions on Sustainable Energy, 2018, 9(3): 1487–1496.
[15] VILLALVA M G, DE SIQUEIRA T G, RUPPERT E. Voltage regulation of photovoltaic arrays: small-signal analysis and control design[J]. IET Power Electronics, 2010, 3(6): 869.
[16] NOUSIAINEN L, PUUKKO J, MÄKI A, et al. Photovoltaic generator as an input source for power electronic converters[J]. IEEE Transactions on Power Electronics, 2013, 28(6): 3028–3038.
[17] URTASUN A, LU DYLAND C. Control of a single-switch two-input buck converter for MPPT of two PV strings[J]. IEEE Transactions on Industrial Electronics, 2015, 62(11): 7051–7060.
[18] URTASUN A, SANCHIS P, MARROYO L. Adaptive voltage control of the DC/DC boost stage in PV converters with small input capacitor[J]. IEEE Transactions on Power Electronics, 2013, 28(11): 5038–5048.
[19] SITBON M, SCHACHAM S, KUPERMAN A. Disturbance observer-based voltage regulation of current-mode-boost-converter-interfaced photovoltaic generator[J]. IEEE Transactions on Industrial Electronics, 2015, 62(9): 5776–5785.
[20] MURAMATSU H, KATSURA S. An adaptive periodic-disturbance observer for periodic-disturbance suppression[J]. IEEE Transactions on Industrial Informatics, 2018, 14(10): 4446–4456.
[21] ERROUISSI R, AL-DURRA A, MUYEEN S M. A robust continuous-time MPC of a DC–DC boost converter interfaced with a grid-connected photovoltaic system[J]. IEEE Journal of Photovoltaics, 2016, 6(6): 1619–1629.
[22] ERROUISSI R, MUYEEN S M, AL-DURRA A, et al. Experimental validation of a robust continuous nonlinear model predictive control based grid-interlinked photovoltaic inverter[J]. IEEE Transactions on Industrial Electronics, 2016, 63(7): 4495–4505.
[23] SUN Q Y, ZHOU J G, GUERRERO J M, et al. Hybrid three-phase/single-phase microgrid architecture with power management capabilities[J]. IEEE Transactions on Power Electronics, 2015, 30(10): 5964–5977.
[24] 孙秋野, 王睿, 马大中, 等. 能源互联网中自能源的孤岛控制研究[J]. 中国电机工程学报, 2017, 37(11): 3087–3098, 3364
SUN Qiuye, WANG Rui, MA Dazhong, et al. An islanding control strategy research of we-energy in energy Internet[J]. Proceedings of the CSEE, 2017, 37(11): 3087–3098, 3364

基于扰动观测器的广义风/光一体化控制策略研究

Research on the Disturbance Observer Based Generalized Wind/Solar Intergration Control Strategy

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[2]	孙东磊, 王宪, 孙毅, 孟祥飞, 张涌琛, 张玉敏. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155.
[3]	张亚健, 陈茨, 薛飞, 马丽, 郑敏. 电制氢协同的含高比例光伏配电网两阶段电压随机优化控制[J]. 中国电力, 2024, 57(8): 23-35.
[4]	卢纯颢, 周春丽, 林溪桥, 陈志君. 基于车辆行为模拟的加氢站氢负荷概率建模方法[J]. 中国电力, 2024, 57(8): 46-54, 66.
[5]	易文飞, 朱卫平, 郑明忠. 计及数据中心和风电不确定性的微电网经济调度[J]. 中国电力, 2024, 57(2): 19-26.
[6]	李卓, 王胤喆, 叶林, 罗雅迪, 宋旭日, 张振宇. 从感知-预测-优化综述图神经网络在电力系统中的应用[J]. 中国电力, 2024, 57(12): 2-16.
[7]	王蕊, 傅质馨, 王健, 刘皓明. 基于复杂特征提取和Sinkhorn距离的风光荷多阶段场景树生成方法[J]. 中国电力, 2024, 57(12): 30-40.
[8]	崔伟, 柴龙越, 王聪, 王炜, 汪莹, 杨仑. 基于改进凸松弛的新能源电网概率最优潮流快速计算方法[J]. 中国电力, 2024, 57(10): 166-171.
[9]	赵先海, 刘晓峰, 季振亚, 李峰, 刘国宝. 考虑居民用户动态行为的负荷聚合商决策分析[J]. 中国电力, 2024, 57(10): 179-189.
[10]	袁铁江, 杨洋, 李瑞, 蒋东方. 考虑源荷不确定性的氢能微网容量优化配置[J]. 中国电力, 2023, 56(7): 21-32.
[11]	叶颖津, 林玲, 阮迪, 张诗鸣, 林红阳. 新型电力系统下电网企业有效资产运营效率评估[J]. 中国电力, 2023, 56(6): 185-193.
[12]	张涛, 刘伉, 陶然, 王清川, 黄明娟. 计及热媒流率和热损耗不确定性的综合能源系统优化调度[J]. 中国电力, 2023, 56(4): 146-155.
[13]	梁涛, 尹晓东, 刘亚祥. 面向投资收益的综合能源系统鲁棒优化配置规划[J]. 中国电力, 2023, 56(4): 156-166.
[14]	张淑兴, 马驰, 杨志学, 王尧, 吴昊, 任洲洋. 基于深度确定性策略梯度算法的风光储系统联合调度策略[J]. 中国电力, 2023, 56(2): 68-76.
[15]	陈璨, 王晶, 于宗民, 马原, 王乙, 范梁晨曦, 丁然, 李红权. 配电网自治单元规划研究综述与展望[J]. 中国电力, 2023, 56(12): 9-19.

模态框（Modal）标题

基于扰动观测器的广义风/光一体化控制策略研究

Research on the Disturbance Observer Based Generalized Wind/Solar Intergration Control Strategy

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics