Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Bisht, Manoj Singh; Sathans,

doi:10.1109/cca.2014.6981446

Cited by 25 publications

(14 citation statements)

References 12 publications

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“…Line resistances are ignored in [44] which must be taken into account. Some variations of the control scheme involve voltage control based on PID controllers [45]. The use of a large number of controllers increases complexity and proper schemes are required to prevent the harmonic interference.…”

Section: Voltage Current Droop Controlmentioning

confidence: 99%

Voltage and frequency control strategies of hybrid AC/DC microgrid: a review

Malik¹,

Xin

Sun

et al. 2017

IET Generation, Transmission & Distribution

177

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Section: Voltage Current Droop Controlmentioning

confidence: 99%

Voltage and frequency control strategies of hybrid AC/DC microgrid: a review

Malik¹,

Xin

Sun

et al. 2017

IET Generation, Transmission & Distribution

177

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“…The fuzzy logic technique [33] is used as supervisory controller for the frequency control system in our proposed model. Fuzzy logic is a computing approach based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which modern computers are based.…”

Section: Fuzzy Logic Based Control Systemmentioning

confidence: 99%

Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid

2017

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Abstract:The microgrid (MG) concept is attracting considerable attention as a solution to energy deficiencies, especially in remote areas, but the intermittent nature of renewable sources and varying loads cause many control problems and thereby affect the quality of power within a microgrid operating in standalone mode. This might cause large frequency and voltage deviations in the system due to unpredictable output power fluctuations. Furthermore, without any main grid support, it is more complex to control and manage the system. In past, droop control and various other coordination control strategies have been presented to stabilize the microgrid frequency and voltages, but in order to utilize the available resources up to their maximum capacity in a positive way, new and robust control mechanisms are required. In this paper, a standalone microgrid is presented, which integrates renewable energy-based distributed generations and local loads. A fuzzy logic-based intelligent control technique is proposed to maintain the frequency and DC (direct current)-link voltage stability for sudden changes in load or generation power. Also from a frequency control perspective, a battery energy storage system (BESS) is suggested as a replacement for a synchronous generator to stabilize the nominal system frequency as a synchronous generator is unable to operate at its maximum efficiency while being controlled for stabilization purposes. Likewise, a super capacitor (SC) and BESS is used to stabilize DC bus voltages even though maximum possible energy is being extracted from renewable generated sources using maximum power point tracking. This newly proposed control method proves to be effective by reducing transient time, minimizing the frequency deviations, maintaining voltages even though maximum power point tracking is working and preventing generators from exceeding their power ratings during disturbances. However, due to the BESS limited capacity, load switching (load shedding scheme) as last option is also introduced in this paper. Simulation results prove the effectiveness of the proposed control strategy from both frequency and voltage perspectives.

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“…Authors in [13] presented a generalized droop control scheme, synergized with adaptive neural fuzzy, for islanded microgrid that ensures efficient regulation of the dynamic behavior under load perturbations. Intelligent control techniques based on fuzzy gain scheduling based PID controller [14], adaptive neural fuzzy inference system (ANFIS) based PID controller [15], and genetic algorithm (GA) tuned PID controller [16] have been proposed for islanded AC microgrid to regulate the system frequency with varying weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Frequency Regulation in AC Microgrid with and without Electric Vehicle Using Multiverse-Optimized Fractional Order- PID controller

Singh¹,

Suhag²

2019

IJCDS

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This paper presents the design and implementation of a novel control scheme for frequency regulation in an AC microgrid, subjected to varying operating conditions, using fractional order proportional integral derivative (FOPID) controller with its parameters optimized employing multi-verse optimizer (MVO) evolutionary algorithm. For the comparative analysis, proportional integral derivative (PID) and fractional order proportional integral (FOPI) controllers, both optimally tuned using MVO, are also implemented. Further, the impact of electric vehicle (EV) on system performance is analyzed. Integral of time multiplied absolute error (ITAE) is considered as the cost function in the optimization process whereas, the settling time and peak undershoot serve as the performance indices and a step change in load is taken as the perturbation. The proposed control scheme is tested for robustness against system parametric changes in the range of ± 25 besides random step load varying both in magnitude and time scale. The proposed MVO optimized FOPID controller outperforms other control schemes implemented in this work and proves to be very effective in frequency regulation in the AC microgrid comprising the renewable energy sources (RESs), diesel engine generator (DEG), and the energy storage systems (ESS). System Modeling and simulations are performed in MATLAB/Simulink.

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Fuzzy based intelligent frequency control strategy in standalone hybrid AC microgrid

Cited by 25 publications

References 12 publications

Voltage and frequency control strategies of hybrid AC/DC microgrid: a review

Voltage and frequency control strategies of hybrid AC/DC microgrid: a review

Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid

Frequency Regulation in AC Microgrid with and without Electric Vehicle Using Multiverse-Optimized Fractional Order- PID controller

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