Identification of modal interaction and small signal stability in autonomous microgrid operation

被引:18
|
作者
Krismanto, Awan Uji [1 ,2 ]
Mithulananthan, Nadarajah [1 ]
机构
[1] Univ Queensland, Sch ITEE, Brisbane, Qld, Australia
[2] Natl Inst Technol, Dept Elect Engn, Malang, Indonesia
关键词
power system stability; distributed power generation; eigenvalues and eigenfunctions; wind power plants; diesel engines; photovoltaic power systems; dynamic response; modal interaction identification; small signal stability; autonomous microgrid operation; renewable energy resources; distributed generation unit; wind energy conversion system; diesel engine; photovoltaic system; DG units; MG structures; oscillatory condition evaluation; gain controller variation; system dynamic response; MG stability; eigen-interaction; eigenvalues; eigen-trajectories method; sensitive identification method; cross-participation factor; CPF; modal interaction index analysis; MII analysis; eigen-trajectories deviation; SYSTEMS; MODES;
D O I
10.1049/iet-gtd.2017.1219
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The detailed models of renewable energy resources based distributed generation (DG) unit, namely, wind energy conversion system, photovoltaic and diesel engine are presented in this study. Combination of different DG units in three microgrid (MG) structures is considered to investigate small signal stability and possible interaction between sensitive modes, particularly in autonomous mode of MG operation. Evaluation of oscillatory condition suggested that gain controller variation significantly influenced MG stability and system dynamic response. Moreover, since modal interaction potentially occurred due to gain change, it is necessary to identify the interaction accurately to ensure stable MG operation. The conventional identification method of eigen-interaction is conducted by observing the movements of engaged eigenvalues. However, the eigen-trajectories method is less sensitive to identify the occurrence of weak interaction. To provide more sensitive identification method, cross-participation factor (CPF) and modal interaction index (MII) analysis are proposed. Deviation of eigen-trajectories after approaching a particular interaction point, higher values of CPF and MII confirmed the occurrence of interactions. The presented works contribute for MGs gain setting consideration and proposing novel methodologies in identifying modal interaction.
引用
收藏
页码:247 / 257
页数:11
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