Micro-Grid Autonomous Operation During and Subsequent to Islanding Process

Katiraei, Farid; Iravani, Mohammad Reza; Lehn, Peter W.

doi:10.1109/tpwrd.2004.835051

Cited by 1,003 publications

(174 citation statements)

References 7 publications

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“…The microgrid can execute either in a grid-connected mode or in an islanded mode [17][18][19]. A pilot project of the Mae Sariang microgrid system model, which was created and funded by the United Nations Development Program (UNDP), is reported in [20][21][22][23].…”

Section: The Perspective Of Microgridmentioning

confidence: 99%

Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid

Tephiruk¹,

Kanokbannakorn²,

Kerdphol³

et al. 2018

Sustainability

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Abstract:In this study, the active and reactive power control of a battery energy storage system (BESS) using fuzzy logic control to maintain the voltage and frequency stability of the islanded Mae Sariang microgrid is presented. The main scope of the presented study is to cogitate the effectiveness of the BESS controller in view of fluctuations of frequency/voltage subjected to a disturbance occurring in the islanded microgrid. In the Mae Sariang microgrid system, the electricity is produced from two renewable energy resources (RESs), i.e., hydro and solar PV. The use of these clean energy sources has become a main problem, envisaging the output power uncertainties from RESs. Further, such power uncertainty raises power quality problems and leads to power failure. To overcome such problems, the proposed fuzzy logic control (FLC) approach is applied for the BESS controller to improve the stability of the islanded Mae Sariang microgrid. The proposed FLC is intended to provide the BESS with well-established attributes of dynamical response to disturbance, which is analyzed by a predictive model. The proposed FLC has been investigated and compared with the robust control method, which is analyzed by a mathematical model using the system identification technique. The modeling of the microgrid system with BESS is implemented and verified on the DIgSILENT PowerFactory software. The simulation result illustrates that both of the control approaches allow the dynamic stability of the microgrid and the maintenance of frequency and voltage within acceptable ranges. However, the proposed BESS fuzzy logic control is less prone to uncertainty than the BESS robust control. Furthermore, in the proposed BESS fuzzy logic control, the microgrid frequency and voltage rapidly return to their normal steady-state condition and the size of the BESS is smaller than the BESS robust control.

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Section: The Perspective Of Microgridmentioning

confidence: 99%

Fuzzy Logic Control of a Battery Energy Storage System for Stability Improvement in an Islanded Microgrid

Tephiruk¹,

Kanokbannakorn²,

Kerdphol³

et al. 2018

Sustainability

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“…To achieve better performance, these DGs are commonly interfaced electronically to the microgrid (MG) using power inverters [3,4]. The MGS incorporate an ingenious perception for DG units application and empower interconnection of several distributed energy resources (DER's) with the ability to independently operate within the power system requirements [1,3,[5][6][7][8]. Although this arrangement can bring significant flexibility in the control of power distribution system, it shall also cause some intricate control-related problems.…”

Section: Introductionmentioning

confidence: 99%

Regulation of Voltage and Frequency in Solid Oxide Fuel Cell-Based Autonomous Microgrids Using the Whales Optimisation Algorithm

et al. 2018

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This study explores the Whales Optimization Algorithm (WOA)-based PI controller for regulating the voltage and frequency of an inverter-based autonomous microgrid (MG). The MG comprises two 50 kW DGs (solid oxide fuel cells, SOFCs) interfaced using a power electronics-based voltage source inverter (VSI) with a 120-kV conventional grid. Four PI controller schemes for the MG are implemented: (i) stationary PI controller with fixed gain values (Kp and Ki), (ii) PSO tuned PI controller, (iii) GWO tuned PI controller, and (iv) WOA tuned PI controller. The performance of these controllers is evaluated by monitoring the system voltage and frequency during the transition of MG operation mode and changes in the load. The MATLAB/SIMULINK tool is utilised to design the proposed model of grid-tied MG alongside the MATLAB m-file to apply an optimisation technique. The simulation results show that the WOA-based PI controller which optimises the control parameters, achieve 62.7% and 59% better results for voltage and frequency regulation, respectively. The eigenvalue analysis is also provided to check the stability of the proposed controller. Furthermore, the proposed system also satisfies the limits specified in IEEE-1547-2003 for voltage and frequency.

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“…(4) The protection based on control of micro-grid Now, most of researches concentrate on the strategy of micro-grid control, but for the protection, micro-grid is still stagnating at the theoretical stage [43][44][45][46]. Reference [47] introduces a centralized protection system for micro -grid, shown as Figure 5.…”

Section: Resultsmentioning

confidence: 99%