Fuzzy adaptive selfish herd optimization based optimal sliding mode controller for frequency stability enhancement of a microgrid

Jena, Narendra Kumar; Sahoo, Subhadra; Sahu, Binod Kumar; Nayak, Jyoti Ranjan; Mohanty, Kanungo Barada

doi:10.1016/j.jestch.2021.10.003

Cited by 14 publications

(7 citation statements)

References 32 publications

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“…Harris Hawk Optimizer [38]. The recognized fractional-order calculus-based controllers like FOPID and TID are invited for various power system applications like load frequency control [39]- [41], hybrid power system control [42], [43] microgrids frequency stability [44], [45]…etc. This is due to its remarkable potential for disturbance rejection and increased sensitivity to model parameter changes.…”

Section: B Literature Surveymentioning

confidence: 99%

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Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer

et al. 2022

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Electrical power system abnormalities may have several negative consequences on its stable operation. As a result, preserving its stability under such operational states has become an ongoing challenge for power engineers. PSSs are created as auxiliary controllers to address the instability issues produced upon disturbances. They dampen the oscillations induced by the disturbances by giving the system the necessary damping torque. This research aims at presenting a comprehensive study for the optimum tuning of power system stabilizer (PSS) of different structures. This aim is accomplished with the help of a novel modified optimization algorithm called Quantum Artificial Gorilla Troops Optimizer. Validation of the modified optimizer is firstly investigated with the well-known benchmark optimization functions and shows superiority over Gorilla Troops Optimizer and competitive algorithms. The research is extended to the application of the optimum tuning of various PSS structures of the single machine to the infinite bus model. The proposed optimization algorithm shows fast convergence over investigated optimization algorithms. Moreover, the Tilt-integral-derivative based PSS shows better performance characteristics in terms of lower settling time, and lower maximum and undershoot values over the conventional lead-lag PSS, dual input PSS, and fractional-order proportional-integral-derivative based PSS.

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Section: B Literature Surveymentioning

confidence: 99%

“…In this research, the 4 th order model of a synchronous machine will be employed to analyze local mode oscillations. The following set of equations can be used to mathematically model the SMIB [44]:…”

Section: Problem Mathematical Formulationmentioning

confidence: 99%

Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer

et al. 2022

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“…So, SMC has several applications available in the operation and control of microgrid in the literature. To overcome poor inertia of the microgrid, fuzzy adaptive optimization-based SMC scheme is developed to improve frequency profile performance even in presence of microgrid nonlinearity and uncertainties (Jena et al, 2022). An integral SMC is designed for direct current (DC) and alternating current (AC) microgrid to regulate voltage and frequency in isolated and grid connected mode (Armghan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Robust sliding mode controller for frequency regulation in a microgrid

Prasad

2023

Transactions of the Institute of Measurement and Control

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The distribution of power at minimum frequency deviation is a primary objective in an isolated microgrid due to variation in inertia and uncertainties in distributed generations. Thus, in this study, a centralized robust sliding mode controller is proposed to achieve minimum frequency deviation with optimal power distribution among distributed generations in an isolated microgrid. The microgrid model is developed for small signal analysis purpose using the electric vehicle charging model dynamics, the wind energy model dynamics and the run-of-river hydro model dynamics. The proposed controller parameters are optimized using linear matrix inequality (LMI), and its asymptotic convergence law is verified via Lyapunov’s stability theorem. The effective reduction in frequency deviations, time characteristics and chattering in control signals is achieved using the proposed controller. Furthermore, robustness nature of the proposed controller conforms against random plant outage sequence, random load and wind uncertainty. In addition, the performance of proposed controller is compared with existing state proportional–integral–derivative (PID) controller and traditional sliding mode control (SMC) even in presence of random plant outage sequence, load and wind speed uncertainties. The proposed controller is capable of regulating power share scenario intelligently according to load disturbance, plant uncertainties and also reducing time characteristics, oscillations and chattering phenomena in control effort within a short duration. As a result, the responses of proposed controller are compared with existing controllers in terms of improved closed-loop dynamics and its effectiveness. The performance of the proposed controller is demonstrated using MATLAB© simulations platform.

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“…Only a few articles have discussed alternative programs for avoiding or mitigating power outages that the utility grids impose to cover the lack of power generation. These studies, like [11][12][13][14][15], discussed multi-agent energy generation networks or their control algorithm for energy optimization [16][17][18][19][20]. However, no generationside EM-based work has been carried out when the power plant uses one type of energy source (such as natural gas or petroleum in Iraq).…”

Section: Introduction 1motivations and Overviewmentioning

confidence: 99%

Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies

Salman,

Pasupuleti,

Sabry

2023

Sustainability

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For power plant networks in developing countries like Iraq, balancing electricity demand and generation continues to be a major challenge. Energy management (EM) in either demand-side (DS) or generation-side (GS) strategies, which is frequently utilized in Iraq due to a lack of adequate power generation, has a small impact on the power balancing mechanism. Most previous studies in similar countries discussed only the application of DS strategies. The purpose of this paper is to contrast and review various energy management methodologies being used in developing nations facing power outages, to be able to recommend suitable ones according to the country’s situation. To assess potential EM-based solutions to improve the total energy efficiency of the Iraqi electrical community, a thorough and methodical analysis was carried out. The main objective of this review paper is to discuss the causes of power outages and the energy management strategies addressed here as methods to mitigate or avoid power outages. Unlike existing reviews that concentrated on demand-side energy management, this study specifically focuses on power outage causes in developing countries like Iraq rather than all management strategies. It also introduces the consequences of power outages including analysis of distribution power losses, financial loss from power blackouts, and power blackouts in firms in a typical month. Therefore, it presents readers with state-of-the-art strategies and recommends a generation-based EM strategy to mitigate such issues.

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Fuzzy adaptive selfish herd optimization based optimal sliding mode controller for frequency stability enhancement of a microgrid

Cited by 14 publications

References 32 publications

Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer

Robust Parameters Tuning of Different Power System Stabilizers Using a Quantum Artificial Gorilla Troops Optimizer

Robust sliding mode controller for frequency regulation in a microgrid

Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies

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