Real-Time Control of Thermal Synchronous Generators for Cyber-Physical Security: Addressing Oscillations with ANFIS DOI Open Access
Ahmed Khamees, Hüseyin Altınkaya

Processes, Год журнала: 2024, Номер 12(11), С. 2345 - 2345

Опубликована: Окт. 25, 2024

This paper introduces a novel real-time ANFIS controller, specifically designed for thermal synchronous generators, to mitigate the risks associated with cyber-physical attacks on power systems. The controller integrates dynamic model of turbine’s thermomechanical components, such as boiler and heat transfer processes, within generator. In contrast previous studies, this is practical implementation addresses often-overlooked areas, including interaction between electrical control responses attacks, incorporation economic considerations alongside technical performance. study takes comprehensive approach filling these gaps. Under normal conditions, proposed significantly improves management industrial turbines governors, optimizing existing systems particular focus minimizing generation costs. However, its primary innovation ability respond dynamically local inter-area oscillations triggered by attacks. events, efficiently manages governors ensuring stability reliability cutting-edge thermo-electrical strategy that both dynamics generators. novelty lies in capability counteract effects well simultaneous consideration optimization performance system stability. Unlike traditional methods, work offers an adaptive using (Adaptive NeuroFuzzy Inference System), robust under interarea voltage deviations. To validate effectiveness, undergoes extensive simulation testing MATLAB/Simulink, comparisons against state-of-the-art methods. Benchmarking also conducted IEEE standard test systems, 9-bus 39-bus networks, highlight superiority protecting

Язык: Английский

A Comprehensive Review of Supervised Learning Algorithms for the Diagnosis of Photovoltaic Systems, Proposing a New Approach Using an Ensemble Learning Algorithm DOI Creative Commons
Guy M. Toche Tchio, Joseph Kenfack, Djima Kassegne

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(5), С. 2072 - 2072

Опубликована: Март 1, 2024

Photovoltaic systems are prone to breaking down due harsh conditions. To improve the reliability of these systems, diagnostic methods using Machine Learning (ML) have been developed. However, many publications only focus on specific AI models without disclosing type learning used. In this article, we propose a supervised algorithm that can detect and classify PV system defects. We delve into world learning-based machine its application in detecting classifying defects photovoltaic (PV) systems. explore various types faults occur provide concise overview most commonly used techniques diagnosing such Additionally, introduce novel classifier known as Extra Trees or Extremely Randomized speedy approach for Although has not yet explored realm fault detection classification installations, it is highly recommended remarkable precision, minimal variance, efficient processing. The purpose article assist technicians, engineers, researchers identifying typical responsible failures, well creating effective control supervision minimize breakdowns ensure longevity installed

Язык: Английский

Процитировано

18
HYBRID POWER SYSTEMS IN MINING: REVIEW OF IMPLEMENTATIONS IN CANADA, USA, AND AFRICA DOI Creative Commons

Femi Oluwatoyin Omole,

Oladiran Kayode Olajiga,

Tosin Michael Olatunde

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 1008 - 1019

Опубликована: Март 24, 2024

This comprehensive exploration delves into Hybrid Power Systems (HPS), investigating their components, technologies, economic considerations, environmental impacts, and technological challenges. Integrating renewable traditional sources in HPS emerges as a transformative solution for sustainable energy. Economic analyses reveal initial costs offset by long-term benefits. At the same time, impacts demonstrate substantial reduction greenhouse gas emissions resource preservation. Technological challenges, including intermittency system optimization, are addressed through advanced storage, smart grids, microgrid technologies. The abstract concludes with recommendations emphasizing research, education, policy support, international collaboration, public awareness, ongoing innovation. As stands at forefront of energy solutions, this study navigates complex terrain, offering insights guidance future where plays pivotal role resilient, efficient, environmentally conscious global landscape. Keywords: Systems, Renewable Energy, Sustainability, Challenges.

Язык: Английский

Процитировано

15
Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management DOI Creative Commons

Swapandeep Kaur,

Raman Kumar, Kanwardeep Singh

и другие.

Journal of Sustainability for Energy, Год журнала: 2024, Номер 3(1), С. 1 - 20

Опубликована: Фев. 4, 2024

The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency systems. This article conducts an exhaustive analysis critical aspects concerning AI-sustainable nexus, encompassing challenges in technological facilitation intelligent decision-making processes pivotal for frameworks. It is demonstrated that AI applications, ranging from optimization algorithms predictive analytics, possess revolutionary capacity bolster energy. However, this not without its challenges, which span complexities socio-economic impacts. underscores imperative deploying manner transparent, equitable, inclusive. Best practices solutions are proposed navigate these effectively. Additionally, discourse extends recent advancements AI, including edge computing, quantum explainable offering insights evolving landscape Future research directions delineated, emphasizing importance enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining ramifications, exploring models human-AI collaboration, fortifying security measures, evaluating impact emerging technologies. comprehensive aims inform academics, practitioners, policymakers, guiding creation resilient future.

Язык: Английский

Процитировано

13
The Role of Utilizing Artificial Intelligence and Renewable Energy in Reaching Sustainable Development Goals DOI
Fatma M. Talaat, A.E. Kabeel,

Warda M. Shaban

и другие.

Renewable Energy, Год журнала: 2024, Номер 235, С. 121311 - 121311

Опубликована: Сен. 7, 2024

Язык: Английский

Процитировано

11
Trends in Hybrid Renewable Energy System (HRES) Applications: A Review DOI Creative Commons

Daniel Alejandro Pérez Uc,

Susana Estefany De León Aldaco, J. Aguayo

и другие.

Energies, Год журнала: 2024, Номер 17(11), С. 2578 - 2578

Опубликована: Май 26, 2024

Microgrids and hybrid renewable energy systems play a crucial role in today’s transition. They enable local power generation distribution, reducing dependence on large centralized infrastructures, can operate independently or connected to grid, provide backup power, thus increasing system resilience. In addition, they combine multiple sources, such as solar, wind, hydro, biomass, maximize the efficiency reliability of supply, are also adaptable location-specific conditions, taking advantage locally available resources need for imports. Moreover, contribute decarbonization goals by offering cleaner more sustainable alternative. this article, documentary review is presented interaction Homer Pro software 3.16.2 (July 2023), used design (HRES), with other methods optimization sizing. Allusion made type architecture most prominent clean fossil source configurations, levelized cost, net annual maintenance capital investment cost. A comparison among works reported last five years regarding use tool, based load demand, geographical area, objective functions, applied educational, rural, industrial sectors. It shown that India one countries has number HRES techno-economic environmental analysis works, case studies have focused approximately 47% rural areas, 20% educational agencies, 14% commerce industry, 29% urban buildings.

Язык: Английский

Процитировано

9
New Directions for Thermoelectrics: A Roadmap from High‐Throughput Materials Discovery to Advanced Device Manufacturing DOI Creative Commons

Kaidong Song,

A. N. M. Tanvir, Md. Omarsany Bappy

и другие.

Small Science, Год журнала: 2024, Номер unknown

Опубликована: Апрель 4, 2024

Thermoelectric materials, which can convert waste heat into electricity or act as solid‐state Peltier coolers, are emerging key technologies to address global energy shortages and environmental sustainability. However, discovering materials with high thermoelectric conversion efficiency is a complex slow process. The field of high‐throughput material discovery demonstrates its potential accelerate the development new combining low cost. synergistic integration processing characterization techniques machine learning algorithms form an efficient closed‐loop process generate analyze broad datasets discover unprecedented performances. Meanwhile, recent advanced manufacturing methods provides exciting opportunities realize scalable, low‐cost, energy‐efficient fabrication devices. This review overview advances in using methods, including processing, characterization, screening. Advanced devices also introduced impacts power generation cooling. In end, this article discusses future research prospects directions.

Язык: Английский

Процитировано

7
Comprehensive Review on Challenges of Integration of Renewable Energy Systems into Microgrid DOI Creative Commons
Mohamed G Moh Almihat, Josiah L. Munda

Solar Energy and Sustainable Development, Год журнала: 2025, Номер 14(1), С. 199 - 236

Опубликована: Март 4, 2025

The integration of renewable energy systems (RES) into microgrids faces challenges from technical, economic, and socio-environmental perspectives. Despite their potential to address access climate change challenges, RES-based face significant barriers, including technical complexities, economic constraints, socio-cultural resistance, regulatory inadequacies, environmental concerns. Some the issues, like intermittency lack compatibility with other sources, are managed by management (EMS) integrated battery systems. These barriers include high capital investment unpredictable revenue which addressable through chosen microgrid architecture, flexible payment structures, tariffs. Community opposition local knowledge overcome employing mitigation measures that pertain partaking in planning processes developing training programs. gaps addressed use standardized policy as well streamlined permitting procedures, while issues application life cycle assessment (LCA)-based solutions environmentally sustainable materials. Furthermore, paper addresses more recent developments, artificial intelligence (AI), peer-to-peer (P2P) trading, an emphasis on improvement prospects. Finally, implications presented, stressing need for systemic observed tendencies. This systematically reviews multifaceted integrating RES microgrids. It presents innovative solutions, AI-driven management, modular designs, frameworks enhance efficiency, reliability, sustainability a scalable transition. review provides diverse view future growth several insights stakeholders related development technology making transition sustainable.

Язык: Английский

Процитировано

1
A Free and open-source microgrid optimization tool: SAMA the solar alone Multi-Objective Advisor DOI
Seyyed Ali Sadat,

Jonathan Takahashi,

Joshua M. Pearce

и другие.

Energy Conversion and Management, Год журнала: 2023, Номер 298, С. 117686 - 117686

Опубликована: Окт. 21, 2023

Язык: Английский

Процитировано

12
Comprehensive multi-stage 3E feasibility and overall sensitivity analysis of PV-Diesel-BESS hybrid on/off grid system under various battery technologies, energy controls strategies, and solar tracking techniques DOI

Aziz Haffaf,

Fatiha Lakdja

Energy Conversion and Management, Год журнала: 2024, Номер 312, С. 118548 - 118548

Опубликована: Май 25, 2024

Язык: Английский

Процитировано

5
Development of an integrated energy management system for off-grid solar applications with advanced solar forecasting, time-of-use tariffs, and direct load control DOI Creative Commons
Tolulope Olumuyiwa Falope, Liyun Lao, Da Huo

и другие.

Sustainable Energy Grids and Networks, Год журнала: 2024, Номер 39, С. 101449 - 101449

Опубликована: Июнь 13, 2024

Effectively managing and maximizing the integration of renewable energy sources is essential for a sustainable power grid due to stochastic intermittent nature generation. This study develops comprehensive Integrated Energy Management System incorporating supply-demand side management in form time-of-use credit, direct load control, generator control enhance photovoltaic utilization off-grid applications. A novel three-step solar forecasting approach proposed this paper, utilizing low-level data fusion regression models predict next-day generation with improved accuracy, rule-based decision algorithm developed correct forecast errors manage loads dynamically. techno-economic analysis covering 20-year duration carried out scenarios without integrated system; three configurations are investigated supplying an residential home, including diesel generator, generator/photovoltaic system, system/integrated system. Results reveal that hybrid configuration system achieved 44 % 46 reductions costs carbon dioxide emissions compared alone, 8 9 setup respectively. The further enhanced utilisation rate by over 113 when Further evaluations include customer behaviour impacts, demonstrating fully automated 100 compliance significantly outperforms systems manual highlighting detrimental effect overrides on efficiency control. flexibility framework allows potential adaptation on-grid applications, showcasing its utility diverse operational contexts.

Язык: Английский

Процитировано

5