Comprehensive enhanced Newton Raphson approach for power flow analysis in droop-controlled islanded AC microgrids

被引:14
|
作者
Bayat, Mohammad [1 ,2 ]
Koushki, Masoud Mehrabi [1 ]
Ghadimi, Ali Asghar [1 ,2 ]
Tostado-Veliz, Marcos [3 ]
Jurado, Francisco [3 ]
机构
[1] Arak Univ, Dept Elect Engn, Fac Engn, Arak 3815688349, Iran
[2] Arak Univ, Res Inst Renewable Energy, Arak 3815688349, Iran
[3] Univ Jaen, Dept Elect Engn, Linares 23700, Spain
关键词
Droop -controlled islanded microgrids; Newton Raphson; Power flow; ALGORITHM; RECONFIGURATION; COMPENSATION; EVOLUTION;
D O I
10.1016/j.ijepes.2022.108493
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
One of the essential studies in the planning and operation of a microgrid is Power Flow (PF). Traditional PF methods are not applicable for droop-controlled islanded microgrids due to the absence of a slack bus in the system. The steady state characteristics of the system such as frequency, bus voltages, Distributed Generators' (DG) output power, and actual loads' demand are obtained based on the droop characteristics of the DGs, and also, the frequency and voltage dependency of the load. Therefore, in this paper, an Enhanced Newton Raphson (ENR) method is proposed for PF in the droop-controlled islanded microgrids. The proposed method is based on the well-known NR method but with a more comprehensive model that considers different droop schemes (resistive, inductive, and complex), load demand dependency on voltage and frequency, pi line model, and shunt compensators. Moreover, a new index for selecting proper droop characteristics for any droop-controlled islanded microgrid is proposed. Five test systems with different scales, topologies, droop control strategies, and various load models are considered to evaluate the performance of the proposed method. The results are compared with the recently developed methods and steady-state results of Time-Domain simulations conducted in PLECS software. The results show that the proposed technique has excellent accuracy with low computational time and can be easily integrated into the currently available power system analysis tools.
引用
收藏
页数:16
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