A Performance evaluation of a fuzzy logic controller-based Photovoltaic-fed multi-level inverter for a three-phase induction motor

Chandrasekaran, S.; Durairaj, S.; Padmavathi, S.

doi:10.1016/j.jfranklin.2021.07.032

Cited by 13 publications

(15 citation statements)

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confidence: 99%

“…Proportional Integral-PI [41,46,50,51,[61][62][63][64][65]. PI controllers have a simple structure, they are simple to design and install, but their performance is dependent on gain parameters and parametric uncertainties [41,50,[63][64][65]. Various PI controllers are used to regulate the voltage of the DC coupling and to control the AC current of inverter-based PV interface systems [66].…”

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confidence: 99%

“…The PI controller is not suitable for steady-state operations and system response speed [65]. Due to the use of constant gain parameters, these controllers do not demonstrate their optimum performance with changes in the system and changes in the input(s) under different operating conditions [62,68].…”

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confidence: 99%

“…Fuzzy Logic Controller (FLC) [46,49,51,52,65,124]. Fuzzy logic has received a lot of attention in structure control due to its simplicity and robustness (reliability) [54].…”

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confidence: 99%

“…Compared to conventional controllers, FLCs are generally not effective if the structure of the controlled system is uncertain, as simple FLCs (type 1 FLCs) have limited capability to directly handle data uncertainties [52]. The FLC controller has an advantage over the PI controller as it better controls the active power fed to the grid, and better monitors the grid current and maximum power point tracking for the PV array [51,64,65].…”

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Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

Stanelytė

Radziukynas

2022

Energies

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The rapid development of renewable energy sources and electricity storage technologies is further driving the change and evolution of traditional energy systems. The aim is to interconnect the different electricity systems between and within countries to ensure greater reliability and flexibility. However, challenges are faced in reaching it, such as the power grid complexity, the system control, voltage fluctuations due to the reverse power flow, equipment overloads, resonance, incorrect island setting, and the diversity of user needs. The electricity grid digitalization in the market also requires the installation of smart devices to enable real-time information exchange between the generator and the user. Inverter-based distributed generation (DG) may be used to control the grid voltage. Smart PV inverters have the capability to supply both inductive and capacitive reactive power to control the voltage at the point of interconnection with the grid, and only technical parameters of smart PV inverters limit this capability. Reactive power control is related to ensuring the quality of voltage in the electricity distribution network and compensating reactive power flows, which is a technical–economic aspect. The goal of this research is to present an analysis of controllers that supply reactive power to the electrical grid via PV systems. This research analyzes recent research on local, centralized, distributed, and decentralized voltage control models in distribution networks. The article compares various approaches and highlights their advantages and disadvantages. The voltage control strategies and methodologies mentioned in the article can serve as a theoretical foundation and provide practical benefits for PV system development in distribution networks. The results of the research show that the local voltage control approach, as well as linear and intelligent controllers, has great potential.

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confidence: 99%

“…Fuzzy Logic Controller (FLC) [46,49,51,52,65,124]. Fuzzy logic has received a lot of attention in structure control due to its simplicity and robustness (reliability) [54].…”

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confidence: 99%

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