Comparative studies on load frequency control for islanded distribution network connected with mini hydro

Laghari, J. A.; Mokhlis, Hazlie; Bakar, A. B. Halim Abu; Mohammad, Hassan

doi:10.1109/peoco.2011.5970388

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Mamdani and Takagi Sugeno interface fuzzy systems are commonly used for control applications. An application of a mamdani interface system is found in [11] where a fuzzy-based speed governor was designed for a mini hydro power plant that supplies varying load. In [12] an adaptive fuzzy logic controller was designed using a mamdani interface system for load frequency control of a small hydro plant.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System

et al. 2017

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Solar power generation is intermittent in nature. It is nearly impossible for a photovoltaic (PV) system to supply power continuously and consistently to a varying load. Operating a controllable source like a fuel cell in parallel with PV can be a solution to supply power to variable loads. In order to coordinate the power supply from fuel cells and PVs, a power management system needs to be designed for the microgrid system. This paper presents a power management system for a grid-connected PV and solid oxide fuel cell (SOFC), considering variation in the load and solar radiation. The objective of the proposed system is to minimize the power drawn from the grid and operate the SOFC within a specific power range. Since the PV is operated at the maximum power point, the power management involves the control of SOFC active power where a proportional and integral (PI) controller is used. The control parameters of the PI controller K p (proportional constant) and T i (integral time constant) are determined by the genetic algorithm (GA) and simplex method. In addition, a fuzzy logic controller is also developed to generate appropriate control parameters for the PI controller. The performance of the controllers is evaluated by minimizing the integral of time multiplied by absolute error (ITAE) criterion. Simulation results showed that the fuzzy-based PI controller outperforms the PI controller tuned by the GA and simplex method in managing the power from the hybrid source effectively under variations of load and solar radiation.

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Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System

et al. 2017

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“…Fuzzy logic controllers (FLC) have gained high appreciation in nonlinear control [1,2] although Proportional-IntegralDerivative (PID) controllers and model predictive controllers (MPC) are widely used in industrial processes [3][4][5]. This is mainly due to its aptitude which can counter nonlinear control problems by programming heuristic knowledge.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System

Maji

Patra

Mahapatra

2015

Advances in Artificial Intelligence

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Fuzzy logic systems have been widely used for controlling nonlinear and complex dynamic systems by programming heuristic knowledge. But these systems are computationally complex and resource intensive. This paper presents a technique of development and porting of a fuzzy logic approximation PID controller (FLAC) in an automatic cruise control (ACC) system. ACC is a highly nonlinear process and its control is trivial due to the large change in parameters. Therefore, a suitable controller based on heuristic knowledge will be easy to develop and provide an effective solution. But the major problem with employing fuzzy logic controller (FLC) is its complexity. Moreover, the designing of Rulebase requires efficient heuristic knowledge about the system which is rarely found. Therefore, in this paper, a novel rule extraction process is used to derive a FLAC. This controller is then ported on a C6748 DSP hardware with timing and memory optimization. Later, it is seamlessly connected to a network to support remote reconfigurability. A performance analysis is drawn based on processor-in loop test with Simulink model of a cruise control system for vehicle.

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Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms

Altınöz

2019

Computational Intelligence and Optimization Methods for Control Engineering

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Comparative studies on load frequency control for islanded distribution network connected with mini hydro

Cited by 6 publications

References 17 publications

A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System

A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System

Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System

Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms

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