A modified moth flame optimisation technique tuned adaptive fuzzy logic PID controller for frequency regulation of an autonomous power system

Mohanty, Debidasi; Panda, Sidhartha

doi:10.1080/14786451.2020.1787412

Cited by 19 publications

(8 citation statements)

References 35 publications

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“…a) Case 1-the rectified non-linear load Figures 19,20,21,22 show the proposed controller has given the correct power-sharing results with the ratio of 1:1; its transient response and steady-state response are also very good. The…”

Section: Resultsmentioning

confidence: 92%

“…In this case, the islanded microgrid has been operated by a centralized controller in the presence of various DGs. The articles [17][18][19][20][21][22] presented an SMC-based voltage profile management in a microgrid. Besides this, some more works on SMC aided with fuzzy control have been presented.…”

Section: Introductionmentioning

confidence: 99%

“…Besides this, some more works on SMC aided with fuzzy control have been presented. In the article [23] it is suggested to use an adaptive fuzzy logic PID controller for the frequency regulation of an autonomous power system; the robustness of this controller is furthermore investigated against variation of system parameters. The article [24] backstepping control method was used to construct the virtual controller, and the final controller was designed by using SMC.…”

Section: Introductionmentioning

confidence: 99%

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Improved power controller for enhancement of voltage quality in microgrid

Pham

2022

The Journal of Engineering

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In microgrid, non-linear or unbalanced loads will degrade the voltage quality at the output of the inverters, and the voltage of the load will be distorted or unbalanced. On the other hand, the inverters in microgrid are connected in parallel to improve efficiency, increase transmission capacity, and are easy to repair and maintain. When the microgrid is operating in standalone mode, inverters must be controlled to share power according to their rated power; this is to stabilize frequency and voltage in the microgrid. However, since non-linear or unbalanced loads will produce load currents containing harmonics, it will make the voltage of load unbalanced, which will affect the control of power-sharing for the inverters, and it also degrades the voltage quality at the output of the inverters. This paper has proposed an improved power-sharing control method combined with the sliding mode control (SMC) technique to improve the voltage quality and improve the accuracy of power-sharing for the inverters in the microgrid. The proposed method will ensure accurate power-sharing even if the communication is interrupted. If the load changes while the communication is interrupted, the accuracy of power-sharing is reduced but the proposed method is better than the conventional power-sharing method. In addition, the accuracy of the proposed power-sharing method is not affected by the time delay in the communication channel and local loads at the output of the inverters. Simulation and experimental results will prove the effectiveness of the proposed method.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved power controller for enhancement of voltage quality in microgrid

Pham

2022

The Journal of Engineering

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“…The credibility of the proposed SCaHHO optimized AFPID controller is also investigated in two equal area thermal power system model 41‐45 . Two equal AFPID structures are taken for each area owing to their identical nature.…”

Section: Resultsmentioning

confidence: 99%

“…The effectiveness of the AFPID controller is analyzed with several recent optimization techniques in addition to conventional ones such as: Ziegler Nichols (ZN), 41 Bacterial Foraging Optimization Algorithm (BFOA), 41 Genetic Algorithm (GA), 41 PSO, 42 hybrid BFOA‐PSO, 42 NSGA‐II‐based PI controller, 43 NSGA‐II optimized PIDF controller, 44 Pattern Search, PSO optimized fuzzy PI controllers 44 and modified MFO (MMFO)‐based AFPID controller 45 . Table 10 provides the objective function values, peak undershoot and settling time for all the considered techniques.…”

Section: Resultsmentioning

confidence: 99%

Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

Mohanty

Panda

2021

Int Trans Electr Energ Syst

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Summary A considerable number of intermittent renewable resources like photovoltaic generation and wind energy when integrated into the conventional grid technology causes serious issues in the power systems like frequency instability. So an intelligent controller is desired for steady and reliable operation of the electric grid. This paper deals with the frequency control of hybrid power system (HPS) employing a sine cosine adopted Harris' hawks optimization (SCaHHO) technique. The proposed technique aims at improving the performance of the original Harris' hawks optimization (HHO) algorithm by incorporating a sine and cosine function in the calculation of escaping energy and chances of escaping of prey respectively to emphasize the exploitation process of hawks. The effectiveness of the SCaHHO technique is validated with the novel HHO technique as well as moth flame optimization, sine cosine algorithm, grey wolf optimization, salp swarm algorithm and gravitational search algorithm using 23 standard test functions. A non‐parametric statistical investigation is also carried out to verify the effectiveness of the suggested technique. Later the SCaHHO technique is utilized to tune a newly proposed adaptive fuzzy proportional integral derivative controller (AFPID) for frequency control of HPS. The suggested SCaHHO‐tuned AFPID controller achieves an improved control action by moderating the frequency fluctuations as compared to the PID controller. Hardware‐in‐loop validation of the proposed load frequency control scheme is also carried out using OPAL‐RT to measure its fidelity with the numerical simulation results.

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Multi‐objective salp swarm algorithm‐based fractional order fuzzy precompensated PDPI controller for frequency regulation of hybrid power system

Mohanty

Panda

2023

Int J Numerical Modelling

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Significant number of renewable sources when integrated with distributed generations and energy storage components form a sustainable power system called hybrid power system (HPS). But the stochastic nature of the sources and continuous variation of load cause serious issues in the power systems like frequency instability. Our work proposes a novel approach for load frequency control (LFC) of the proposed system. For the work, both frequency deviation and control signal are used to give the input signal to energy storage components. A new fuzzy‐based controller called fractional order fuzzy precompensated PDPI (FO‐FPPDPI) controller for LFC of the mentioned HPS is suggested in this paper. The controller is optimized by a nature inspired multi‐objective salp swarm algorithm (MSSA). The comparison of the proposed approach with the classical PID controller and Fuzzy PID (FPID) controller is carried out by taking several system operating conditions. Robustness of the FO‐FPPDPI controller is also validated for system parameter variations and the superiority of the proposed control strategy over PID and FPID controllers is validated for all the situations. Finally, the control strategy is realized in OPAL‐RT to measure its fidelity with the simulation results.

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A modified moth flame optimisation technique tuned adaptive fuzzy logic PID controller for frequency regulation of an autonomous power system

Cited by 19 publications

References 35 publications

Improved power controller for enhancement of voltage quality in microgrid

Improved power controller for enhancement of voltage quality in microgrid

Sine cosine adopted Harris' hawks optimization for function optimization and power system frequency controller design

Multi‐objective salp swarm algorithm‐based fractional order fuzzy precompensated PDPI controller for frequency regulation of hybrid power system

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