Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100514
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorWu, Yen_US
dc.creatorWang, Sen_US
dc.creatorXiong, Len_US
dc.creatorZhang, Den_US
dc.creatorXu, Zen_US
dc.date.accessioned2023-08-11T03:09:58Z-
dc.date.available2023-08-11T03:09:58Z-
dc.identifier.issn1000-1026en_US
dc.identifier.urihttp://hdl.handle.net/10397/100514-
dc.language.isozhen_US
dc.publisher電力工業部南京自動化硏究所en_US
dc.rights© 2020 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.rights© 2020 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.en_US
dc.subjectDC voltage time scaleen_US
dc.subjectElectrical torque analysisen_US
dc.subjectEnergy storage system (ESS)en_US
dc.subjectGrid-connected power generation systemen_US
dc.subjectInertia and damping characteristicsen_US
dc.subjectMulti-time scale modelingen_US
dc.subjectPhotovoltaic (PV)en_US
dc.titleAnalysis on inertia and damping mechanism of grid-connected power generation system integrated with photovoltaic and energy storage systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: 吴永斌en_US
dc.description.otherinformationAuthor name used in this publication: 王素娥en_US
dc.description.otherinformationAuthor name used in this publication: 熊连松en_US
dc.description.otherinformationAuthor name used in this publication: 张东辉en_US
dc.description.otherinformationAuthor name used in this publication: 许昭en_US
dc.description.otherinformationTitle in Traditional Chinese: 光儲一體化併網發電系統的慣量阻尼機理分析en_US
dc.identifier.spage129en_US
dc.identifier.epage137en_US
dc.identifier.volume44en_US
dc.identifier.issue6en_US
dc.identifier.doi10.7500/AEPS20190308009en_US
dcterms.abstractThe grid-connected power generation system integrated with photovoltaic (PV) and energy storage systems (ESSs) is taken as the research object, and multiple time scales are used in the modeling ideas. Focusing on the main time scale affecting the dynamic characteristics of system frequency-the DC voltage time scale, this paper develops a dynamic model of DC voltage time scale for the analysis of the system inertia and damping characteristics. On the basis of this model, the electric torque analysis method is used to analyze the main factors and their action laws on the inertia effect, damping capacity and synchronization characteristics from the physical mechanism level. The research results show that the dynamic characteristics of the system are determined by its control parameters, structural parameters and steady-state operation point parameters. The inertia effect and synchronization characteristics of the system are respectively affected by the proportional controller and integral controller in the DC bus voltage control loop. The damping capacity of the system is mainly affected by the frequency droop control in the energy storage device. The system dynamic characteristics will not be affected by the PV converter operating in the maximum power point tracking (MPPT) mode. In addition, the system dynamic characteristics are also affected by the structural parameters (such as line impedance and DC bus capacitance), the steady-state operation point parameters (such as the AC/DC bus voltage level of the system) and the steady-state operation power (power angle). Finally, the correctness of the above analysis is verified by the simulation and experiment results.en_US
dcterms.abstract以光储一体化并网发电系统为研究对象,利用多时间尺度建模的思想,聚焦于影响系统频率动态特性的主要时间尺度——直流电压时间尺度,建立了用于系统惯量阻尼特性分析的直流电压时间尺度动态模型。在此模型的基础上,利用电气转矩分析法从物理机制层面上分析了影响系统惯量效应、阻尼能力以及同步特性的主要因素及其作用规律。研究结果表明:系统的动态特性由其控制参数、结构参数以及稳态工作点参数共同决定。直流电压母线控制环中的比例控制器、积分控制器分别影响系统的惯性效应和同步特性;储能装置中的频率下垂控制主要影响系统的阻尼能力;工作在最大功率点跟踪模式的光伏变流器则无法影响系统的动态特性。此外,系统的动态特性还受到线路阻抗、直流母线电容等结构参数以及系统交/直流母线电压等级、稳态运行功率(功角)等稳态工作点参数的共同影响。仿真和实验结果验证了上述分析结论的正确性。en_US
dcterms.accessRightsopen accessen_US
dcterms.alternative光储一体化并网发电系统的惯量阻尼机理分析en_US
dcterms.bibliographicCitation电力系统自动化 (Automation of electric power systems), 25 Mar. 2020, v. 44, no. 6, p. 129-137en_US
dcterms.isPartOf电力系统自动化 (Automation of electric power systems)en_US
dcterms.issued2020-03-25-
dc.identifier.scopus2-s2.0-85082111830-
dc.description.validate202307 bckwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberEE-0135-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Shaanxi Province Industrial Science and Technology Research Project; Xi'an Science and Technology Plan Projecten_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24263674-
dc.description.oaCategoryVoR alloweden_US
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