Current injection-based Newton-Raphson power-flow algorithm for droop-based islanded microgrids

被引:19
|
作者
Kumar, Abhishek [1 ]
Jha, Bablesh Kumar [1 ]
Singh, Devender [1 ]
Misra, Rakesh Kumar [1 ]
机构
[1] Banaras Hindu Univ Campus, Elect Engn Dept, IIT BHU Varanasi, Varanasi, Uttar Pradesh, India
关键词
load flow; Newton-Raphson method; distributed power generation; nonlinear equations; current injection-based Newton-Raphson power-flow algorithm; droop-based islanded microgrid; power-flow analysis; DBIMG; power-flow problem; conventional power-flow techniques; reference bus; system frequency; voltage magnitude; power-flow formulation; power-flow equations; 6-bus system; 38-bus system; current injection Newton-Raphson based algorithm; BACKWARD/FORWARD SWEEP ALGORITHM; AUTONOMOUS OPERATION; VOLTAGE; GENERATION; INVERTERS; IMPEDANCE; DESIGN; MODEL;
D O I
10.1049/iet-gtd.2019.0575
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 power-flow analysis of droop-based islanded microgrid (DBIMG) is a growing research area. The conventional power-flow techniques have been difficult to employ in DBIMG due to the non-existence of reference bus (slack bus). To address this issue, a current injection Newton-Raphson based novel algorithm is proposed. The proposed algorithm chooses system frequency and voltage magnitude of the reference bus as additional variables in power-flow formulation. The proposed algorithm takes into account three operating modes of distributed generators viz. Droop control, PQ and PV. The linear equations cover the droop characteristics of the DGs, while non-linear equations cover power-flow equations of the system. The proposed algorithm has been executed on two test systems viz. 6-bus system and 38-bus system. To show the effectiveness and robustness of the proposed algorithm, the performance of the proposed algorithm is also examined for the different loading conditions and different R/X ratios of the line of the test systems. The obtained solutions have also been compared with the solutions obtained by other Newton-Raphson based algorithms reported in the literature and PSCAD. The comparative analysis shows better efficiency and superior convergence of the proposed algorithm.
引用
收藏
页码:5271 / 5283
页数:13
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