Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Aluko, Anuoluwapo; Dorrell, David G.; Carpanen, Rudiren Pillay; Ojo, Evan E.

doi:10.3390/en13030564

Cited by 27 publications

(8 citation statements)

References 84 publications

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“…For short-interval faults, an improved control technique for handling frequency problems is presented [84]. The heuristic-based artificial bee colony algorithm helps to tune the controller parameter for the WECS-based power system.…”

Section: Classical Strategiesmentioning

confidence: 99%

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Shobug,

Chowdhury,

Hossain

et al. 2024

Energies

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In modern power systems, conventional energy production units are being replaced by clean and environmentally friendly renewable energy resources (RESs). Integrating RESs into power systems presents numerous challenges, notably the need for enhanced grid stability and reliability. RES-dominated power systems fail to meet sufficient demand due to insufficient inertia responses. To address this issue, various virtual inertia emulation techniques are proposed to bolster power system stability amidst the increased integration of renewable energy sources into the grid. This review article explores state-of-the-art virtual inertia support strategies tailored to accommodate the increased penetration of RESs. Beginning with an overview of this study, it explores the existing virtual inertia techniques and investigates the various methodologies, including control algorithms, parameters, configurations, key contributions, sources, controllers, and simulation platforms. The promising virtual inertia control strategies are categorised based on the techniques used in their control algorithms and their applications. Furthermore, this review explains evolving research trends and identifies promising avenues for future investigations. Emphasis is placed on addressing key challenges such as dynamic response characteristics, scalability, and interoperability with conventional grid assets. The initial database search reveals 1529 publications. Finally, 106 articles were selected for this study, adding 6 articles manually for the review analysis. By synthesising current knowledge and outlining prospective research directions, this review aims to facilitate the current state of research paths concerning virtual inertia control techniques, along with the categorisation and analysis of these approaches, and showcases a comprehensive understanding of the research domain, which is essential for the sustainable integration of renewable energy into modern power systems via power electronic interface.

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Section: Classical Strategiesmentioning

confidence: 99%

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Shobug,

Chowdhury,

Hossain

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

“…[200]. An additional control scheme comprising of Artificial Bee Colony algorithm (ABC) computes the parametric values of the wind energy machine side converter, enabling them to partake in frequency control minimizing the active power deviation [201].…”

Section: ) Solar/photovoltaic Power Generationmentioning

confidence: 99%

A Comprehensive Survey on the Current Trends in Improvising the Renewable Energy Incorporated Global Power System Market

Saranyaa

Fathima

2023

IEEE Access

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Power generation all over the world is slowly being taken over by the renewable energy technologies to alleviate the energy crisis, as well as provide clean and green energy. Therefore, in the foreseeable future, the renewable energy technologies most likely may compete on par level with the conventional energy generation. The near future holds the rebalancing of the global power system market, which mandates, the interpretation of the upcoming and current trends revolving around the power market, pricing and the supply-demand balance with focus on the various renewable energy sources. Levelised Cost of Energy (LCOE) is the present global evaluator that ensures the fair valuation of the generation costs and the grid parity achievement for the various generating technologies. With the power market rebalancing, both regulated and deregulated configuration, have a requisite duty of maintaining the power generation and demand balance. Therefore, this paper does an extensive survey on the recent trends and methodologies in the levelised cost estimation, demand-supply balance with focus on the various renewable generating sources.

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“…The IEEE 118-bus system is the testing platform demonstrating the proposed scheme's feasibility. Reference [89] presents an artificial bee colony (ABC) algorithm-based heuristic optimization technique to maintain optimal frequency regulation for WT connected to the microgrid. Figure 5(b) represents the considered model that consists of two areas connected via the AC tie line and the high voltage DC (HVDC) line.…”

Section: A Intelligent Vic Techniquesmentioning

confidence: 99%

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

et al. 2022

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By replacing conventional generation units with renewable energy sources (RESs), the power system gains an alternate source of future power generation and a better environmental platform. RESs, on the other hand, are unable to provide the required power demand due to poor inertia responses and low-frequency stability. As a result, multiple inertia augmentation control strategies were developed to increase frequency stability and maximize power usage in the grid-integrated renewable energy systems. Accordingly, this study thoroughly reviews existing virtual inertia control (VIC) strategies for improving inertia response and frequency stability. This study investigates 51 VIC approaches regarding required parameters, configurations, key contributions, sources, controllers, and simulation platforms. Furthermore, to emphasize the most promising ones, the VIC approaches are classified as intelligent, adaptive, derivative, coordinated control, and other VIC techniques. The classification approach is followed by the system configuration and the mode of operation of each control scheme. Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. In contrast, adaptive control schemes emphasize the adaptation of control operations. These studies include both the standalone and grid-connected RESs frequency and power control approaches with necessary mathematical modelling and equations, which are rarely available in the recent existing works. The current state of research on improving frequency stability and inertia response in the grid-integrated RESs is discussed. Finally, this literature review reflects the present status of VIC technique research paths, and the categorization and analysis of these approaches demonstrate an extensive insight into the research field.INDEX TERMS Renewable energy, virtual inertia control techniques, synthetic inertia control, frequency stability, intelligent control, adaptive control, derivative control, coordinated control.

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Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Cited by 27 publications

References 84 publications

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects

A Comprehensive Survey on the Current Trends in Improvising the Renewable Energy Incorporated Global Power System Market

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques

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