Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Khan, Laiq; Badar, Rabiah

doi:10.3906/elk-1212-31

Cited by 11 publications

(5 citation statements)

References 46 publications

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“…SSSC is another FACTS controller being effectively utilised for stability enhancement of conventional and RESs integrated grid. 137,138 As discussed earlier, large-scale integration of wind farms into electricity grid causes grid instability issues owing to the intermittent nature of wind. 139 Moreover, it badly affects the grid during contingencies especially during sequential faults occurrence.…”

Section: Sssc In Smart Grid Controlmentioning

confidence: 99%

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

et al. 2020

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Summary In the modern world, only conventional energy resources cannot fulfil the growing energy demand. Electricity is a fundamental building block of a technological revolution. Today, most of the electricity demand is met by the burning of fossil fuels but at the cost of adverse environmental impact. In order to bridge the gap between electricity demand and supply, nonconventional and eco‐friendly means of energy generation are considered. Renewable energy systems (RESs) offer an adequate solution to mitigate the challenges originated due to greenhouse gasses (GHG). However, they have an unpredictable power generation with specific site requirements. Grid integration of RESs may lead to new challenges related to power quality, reliability, power system stability, harmonics, subsynchronous oscillations (SSOs), power quality, and reactive power compensation. The integration with energy storage systems (ESSs) can reduce these complexities that arise due to the intermittent nature of RESs. In this paper, a comprehensive review of renewable energy sources has been presented. Application of ESSs in RESs and their development phase has been discussed. Role of ESSs in increasing lifetime, efficiency, and energy density of power system having RESs has been reviewed. Moreover, different techniques to solve the critical issues like low efficiency, harmonics, and inertia reduction in photovoltaic (PV) systems have been presented. Unlike most of the available review papers, this article also investigates the impact of FACTS technology in RESs‐based power system using multitype flexible AC transmission system (FACTS) controllers. Three simulation models have been developed in MATLAB/Simulink. The results show that FACTS devices help to maintain the stability of RESs integrated power system. This review paper is believed to be of potential benefit for researchers from both the industry and academia to develop better understanding of challenges and solution techniques for REs‐based power systems and future research dimensions in this area.

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Section: Sssc In Smart Grid Controlmentioning

confidence: 99%

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

et al. 2020

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“…Another fast‐growing research trend in the area of NeuroFuzzy is to embed wavelets in their structure to improve their learning performance and rectify the vulnerabilities of learning algorithms. Wavelet‐based NeuroFuzzy systems combine wavelet theory with FIS and ANN which embeds the optimal approximation property of WNN in NeuroFuzzy stucture 15 …”

Section: Introductionmentioning

confidence: 99%

Adaptive Type‐2 NeuroFuzzy wavelet‐based supplementary damping controls for STATCOM

Badar

Dilshad

2020

Int Trans Electr Energ Syst

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Summary Static Synchronous Compensator (STATCOM) is a shunt‐connected Flexible AC Transmission System (FACTS) controller with the primary goal of power flow control on a transmission line. However, it can effectively be used for improving power system stability by incorporating a Supplementary Damping Control (SDC) for bus voltage regulation. This paper presents an SDC strategy based on the integration of Type‐2 fuzzy logic and Wavelet Neural Network (WNN) in NeuroFuzzy structure. The fuzziness in Type‐2 membership function increases the controller capability to handle uncertainties. The performance improvement has been investigated by introducing uncertainty in mean initially and then in both the mean and SD of the Gaussian Type‐2 membership function. A multi‐machine power system installed with SDC‐based STATCOM is used to test the controller performance using different fault scenarios. The comparative evaluation of proposed controllers is done with Adaptive NeuroFuzzy TSK Control (ANFTSKC) and without SDC scenarios. In results, significant performance improvement has been observed in both steady‐state and transient regions for recommended Type‐2 NeuroFuzzy Wavelet Control (NFWC) strategies.

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“…Wavelet inclusion significantly improves the computational speed of the NeuroFuzzy network. The wavelet-based network is considered as an optimal approximator, because it explores a small number of data chunks to achieve precision [ 25 ], [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive control paradigm for photovoltaic and solid oxide fuel cell in a grid-integrated hybrid renewable energy system

Mumtaz

Khan

2017

PLoS ONE

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The hybrid power system (HPS) is an emerging power generation scheme due to the plentiful availability of renewable energy sources. Renewable energy sources are characterized as highly intermittent in nature due to meteorological conditions, while the domestic load also behaves in a quite uncertain manner. In this scenario, to maintain the balance between generation and load, the development of an intelligent and adaptive control algorithm has preoccupied power engineers and researchers. This paper proposes a Hermite wavelet embedded NeuroFuzzy indirect adaptive MPPT (maximum power point tracking) control of photovoltaic (PV) systems to extract maximum power and a Hermite wavelet incorporated NeuroFuzzy indirect adaptive control of Solid Oxide Fuel Cells (SOFC) to obtain a swift response in a grid-connected hybrid power system. A comprehensive simulation testbed for a grid-connected hybrid power system (wind turbine, PV cells, SOFC, electrolyzer, battery storage system, supercapacitor (SC), micro-turbine (MT) and domestic load) is developed in Matlab/Simulink. The robustness and superiority of the proposed indirect adaptive control paradigm are evaluated through simulation results in a grid-connected hybrid power system testbed by comparison with a conventional PI (proportional and integral) control system. The simulation results verify the effectiveness of the proposed control paradigm.

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Hybrid adaptive neuro-fuzzy B-spline--based SSSC damping control paradigm using online system identification

Cited by 11 publications

References 46 publications

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

Limitations, challenges, and solution approaches in grid‐connected renewable energy systems

Adaptive Type‐2 NeuroFuzzy wavelet‐based supplementary damping controls for STATCOM

Adaptive control paradigm for photovoltaic and solid oxide fuel cell in a grid-integrated hybrid renewable energy system

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