RETRACTED: Energy harvesting analysis of hip implantin achieving sustainable development goals

Oladapo, Bankole I.; Bowoto, Oluwole K.; Adebiyi, Victor A.; Ikumapayi, Omolayo M.

doi:10.1016/j.istruc.2023.05.150

Cited by 10 publications

(2 citation statements)

References 40 publications

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“…The equilibrium between electricity generation, transmission, and consumption becomes vital to preventing grid failures and blackouts, which not only disrupt daily life but also lead to substantial societal disarray and economic losses [1,2]. By upholding power system stability, sustainable energy transitions are facilitated, as a resilient grid can integrate intermittent renewable sources, thereby curbing greenhouse gas emissions and fostering a more ecologically harmonious energy landscape for future generations [3,4]. The United Nations Sustainable Development Goals (UN SDGs) provide a comprehensive framework for promoting worldwide sustainability.…”

Section: Introductionmentioning

confidence: 99%

Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

Zamani,

Shahgholian,

Fathollahi

et al. 2023

Sustainability

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Power system stability is of paramount importance in the context of energy sustainability. The reliable and efficient operation of power systems is crucial for supporting modern societies, economies, and the growing demand for electricity while minimizing environmental impact and increasing sustainability. Due to the insufficient effect of power system stabilizers (PSSs) on damping the inter-area mode oscillations, Flexible AC Transmission System (FACTS) devices are utilized for damping this mode and stabilizing power systems. In the present study, a novel optimization framework considering different and variable weight coefficients based on eigenvalue locations is presented, and the parameters of PSS and variable impedance devices, including static Volt-Ampere Reactive (VAR) compensator (SVC) and Thyristor-Controlled Series Compensator (TCSC) (comprising amplifying gain factor and time constants of phase-compensating blocks), are optimized in a coordinated manner using the proposed optimization framework built based on genetic algorithm (GA). Moreover, in the suggested optimization framework, the locations of FACTS devices and control signals are considered optimization parameters. Numerical results for the IEEE 69-bus power system demonstrated an effective improvement in the damping of inter-area modes utilizing the offered approach.

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Section: Introductionmentioning

confidence: 99%

Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

Zamani,

Shahgholian,

Fathollahi

et al. 2023

Sustainability

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show abstract

“…Its ubiquitous influence spans a gamut of applications, from industrial processes to residential power consumption, affirming its pivotal role across diverse sectors [6]. However, the world's growing demand for energy and the urgent need to fight climate change and environmental damage are driving the search for sustainable energy solutions [7]. This compelling mandate has spurred the exploration of alternative energy reservoirs, the refinement of energy-efficient practices, and the innovation of dynamic energy management strategies, all geared towards forging a resilient future for humanity [8].…”

Section: Introductionmentioning

confidence: 99%

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Stecyk,

Miciuła

2023

Energies

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This article shows the evaluation of the Integrated Real-time Energy Management Framework (IREMF), a cutting-edge system designed to develop energy management practices. The framework leverages real-time data collection, advanced visualization techniques, and fuzzy logic to optimize energy consumption patterns. To assess the performance and importance of each layer and main factor within IREMF, we employ a multi-step methodology. First, the Fuzzy Delphi Method is utilized to harness expert insights and collective intelligence, providing a holistic understanding of the framework’s functionality. Researchers used a fuzzy analytic hierarchy process (AHP) to determine the relative importance of each component of the energy system (first stage). This careful evaluation process helps ensure that resources are allocated effectively and that strategic decisions are made based on sound data. The findings of the study not only improve our understanding of the capabilities of the IREMF platform but also pave the way for future developments in energy system management. The study highlights the critical role of real-time data, visualization, fuzzy logic, and advanced decision-making methods in shaping a sustainable energy future.

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Indonesia Induction Stoves Conversion Program: Technology Adoption and Behavior

Damayanti,

Setiadi,

Laksono

et al. 2024

Lecture Notes in Networks and Systems

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RETRACTED: Energy harvesting analysis of hip implantin achieving sustainable development goals

Cited by 10 publications

References 40 publications

Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

Improving Interarea Mode Oscillation Damping in Multi-Machine Energy Systems through a Coordinated PSS and FACTS Controller Framework

Empowering Sustainable Energy Solutions through Real-Time Data, Visualization, and Fuzzy Logic

Indonesia Induction Stoves Conversion Program: Technology Adoption and Behavior

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