Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach

Bevrani, Hassan; Habibi, F.; Babahajyani, P.; Watanabe, Masayuki; Mitani, Yasunori

doi:10.1109/tsg.2012.2196806

Cited by 528 publications

(268 citation statements)

References 25 publications

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“…An MG is an interconnection of different local loads and LV distributed generating units, such as wind turbines, solar PV panels, micro-turbines and battery storage systems [18]. The model of the proposed modified grid-connected MG incorporating SOFC is shown in Figure 1.…”

Section: Structure Of Microgridmentioning

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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Section: Structure Of Microgridmentioning

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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“…The RESs in some systems might have a high-order dynamic response. However, the low-order dynamic models applied in this work are appropriate for investigating frequency control issues [19,24,25]. Therefore, the frequency deviation of the interconnected power system without virtual inertia control system for the i-th area can be calculated as follows:…”

Section: Structure Of Frequency Controlmentioning

confidence: 99%

Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration

2018

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Due to a rapid increase in the utilization of power converter-based renewable energy sources (RESs), the overall system inertia in an interconnected power system might be significantly reduced, increasing the vulnerability of the interconnected power system to the system instability. To overcome problems caused by the significant reduction in system inertia, this paper proposes a new application of virtual inertia control to improve frequency stability of the interconnected power system due to high penetration level of RESs. The derivative control technique is introduced for higher-level applications of virtual inertia emulation. Thus, the proposed virtual inertia control loop has a second-order characteristic, which provides a simultaneous enabling of damping and inertia emulations into the interconnected power system, enhancing frequency stability and resiliency. System modeling and simulation results are carried out using MATLAB/Simulink ® (R2016b, MathWorks, Natick, MA, USA). Trajectory sensitivities are also performed to analyze the dynamic effects of virtual inertia control's parameters on the system stability. The effectiveness of the virtual inertia control concept on stability improvement is verified through a multi-area test system with high RESs penetration level for different contingencies.

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“…In recent years, some frequency control methods for microgrids or hybrid power systems have been proposed by using traditional proportional-integral-derivative (PID) controllers or robust controllers [7][8][9][10][11][12][13][14][15][16]. For example, a hybrid method by combining particle swarm optimization (PSO) and fuzzy logic [11] is proposed to design proportional-integral (PI)-based frequency controllers for an alternating current microgrid.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a hybrid method by combining particle swarm optimization (PSO) and fuzzy logic [11] is proposed to design proportional-integral (PI)-based frequency controllers for an alternating current microgrid. Another genetic algorithm (GA)-based frequency PID controller has been developed for a solar thermal diesel wind hybrid energy generation and storage system [13].…”

Section: Introductionmentioning

confidence: 99%

Design of a Fractional Order Frequency PID Controller for an Islanded Microgrid: A Multi-Objective Extremal Optimization Method

et al. 2017

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Abstract:Fractional order proportional-integral-derivative(FOPID) controllers have attracted increasing attentions recently due to their better control performance than the traditional integer-order proportional-integral-derivative (PID) controllers. However, there are only few studies concerning the fractional order control of microgrids based on evolutionary algorithms. From the perspective of multi-objective optimization, this paper presents an effective FOPID based frequency controller design method called MOEO-FOPID for an islanded microgrid by using a Multi-objective extremal optimization (MOEO) algorithm to minimize frequency deviation and controller output signal simultaneously in order to improve finally the efficient operation of distributed generations and energy storage devices. Its superiority to nondominated sorting genetic algorithm-II (NSGA-II) based FOPID/PID controllers and other recently reported single-objective evolutionary algorithms such as Kriging-based surrogate modeling and real-coded population extremal optimization-based FOPID controllers is demonstrated by the simulation studies on a typical islanded microgrid in terms of the control performance including frequency deviation, deficit grid power, controller output signal and robustness.

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Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach

Cited by 528 publications

References 25 publications

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

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

Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration

Design of a Fractional Order Frequency PID Controller for an Islanded Microgrid: A Multi-Objective Extremal Optimization Method

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