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IET Renewable Power Generation
Scopus
ISSN 1752-1424 · Wiley · 1.268 artikel di indeks
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Artikel Jurnal
Co‐Digestion of Abattoir Effluent and Rumen Content for Waste Management and Biogas Production
ABSTRACT This study examined the feasibility of using two primary waste types from a local abattoir for waste management and subsequent biogas production. In the study, wastewater (WW) and rumen content (RC) found at a red meat abattoir were used as substrates during anaerobic digestion (AD). An…
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Artikel Jurnal
Droop control strategy in inverter‐based microgrids: A brief review on analysis and application in islanded mode of operation
Abstract Droop control is at the first level of the control hierarchy and does not require communication. Having high reliability, is usually used in inverter‐based microgrids. The microgrid can operate as an island, and it can also be connected to the main or auxiliary grid. By reviewing the…
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Artikel Jurnal
A Two‐Stage Strategy for Black‐Start Restoration by Coordinating Deep Reinforcement Learning and Mixed‐Integer Linear Programming
ABSTRACT Extreme events can lead to extensive blackouts, emphasising the crucial significance of power system black‐start restoration. In this paper, a two‐stage strategy coordinating deep reinforcement learning (DRL) and mixed‐integer linear programming (MILP) for power system black‐start…
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Artikel Jurnal
Ultra‐Short‐Term Wind Power Prediction Based on Digital Twins
ABSTRACT To address the issue of insufficient consideration of wind turbine physical characteristics and wind farm meteorological features in wind power forecasting, this paper proposes an ultra‐short‐term wind power prediction model based on digital twin technology. The model constructs a digital…
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Artikel Jurnal
Control‐Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind‐Wave Energy Systems
ABSTRACT Hybrid wind‐wave energy systems, integrating floating offshore wind turbine (FOWT) and wave energy converters (WECs), have received much attention in recent years due to its potential benefits in increasing the power harvesting density and reducing the levelized cost of electricity (LCOE)…
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Artikel Jurnal
An Analysis of South Africa's Diurnal Energy Distribution Towards a Strategy on LV Storage
ABSTRACT This study investigates South Africa's energy distribution patterns and examines the potential of low‐voltage (LV) energy storage to address energy challenges. The research aims to formulate a strategic framework for implementing LV storage technologies by examining diurnal energy…
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Artikel Jurnal
Pricing of Park Charging Station Integrated Photovoltaic and Energy Storage Based On Metamodel Optimization Algorithm
ABSTRACT With the rapid growth of electric vehicle (EV) ownership and the lower cost of photovoltaic (PV) modules, photovoltaic‐energy storage charging station (PV‐ES CS) will gradually become the main configuration method for EV charging station in the future due to its economic and environmental…
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Artikel Jurnal
A Coupling‐Factor‐Based Nonlinear Decoupling Method for Transient Operation Analysis of LCL‐Filtered Grid‐Connected VSC
ABSTRACT In light of the exponential growth in renewable energy generation, voltage source converters (VSCs) have garnered extensive attention, particularly concerning control methodologies and steady‐state operation analysis. Nevertheless, the comprehensive transient operation analysis under large…
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Artikel Jurnal
Modelling and Study of Shunt Currents in an Industrial Alkaline Water Electrolyser With Various Number of Cells in Series
ABSTRACT Interest in green hydrogen production using electrolysers powered by renewable energy has grown in recent years, driven by applications in energy storage and various industrial sectors. Scaling‐up alkaline water electrolyser (AWE) stacks by increasing the number of series‐connected cells…
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Artikel Jurnal
Iterative Algorithm‐Induced Deep‐Unfolding Networks for Interpretable Fault Detection of Permanent Magnet Synchronous Motor
ABSTRACT Fault detection in permanent magnet synchronous motors (PMSMs) is essential for ensuring their operational reliability. However, existing high‐accuracy algorithms, especially those based on neural networks, frequently face challenges such as poor interpretability and decreased accuracy in…
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Artikel Jurnal
A novel switching method in PV‐fed quasi‐ZSI‐DVR for voltage quality enhancement of photovoltaic integrated networks
Abstract In this work, a novel switching method for the photovoltaic‐fed (PV‐fed) dynamic voltage restorer (DVR) system based on a quasi‐Z‐source inverter (quasi‐ZSI) is proposed. This proposed switching control strategy is implemented in such a way that a wider voltage boost gain and lower voltage…
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Artikel Jurnal
Application of Superconducting Magnetic Energy Storage to Compensate the Pitch System Delay in Output Power Smoothing of Wind Turbines
ABSTRACT Wind power is one of the most widely available renewable energy sources (RES). However, due to the intermittent nature of wind, the output power of wind turbines (WTs) is always variable. In WTs, at speeds lower than the rated wind speed, the goal is to maximise the power extracted from…
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Artikel Jurnal
Comprehensive Optimization Model for Energy Hubs in Urban Distribution Networks, Considering Traffic Flow and Electric Vehicle Charging
ABSTRACT This paper presents a comprehensive model for optimally planning electricity and gas distribution networks, integrating energy hubs (EHs) and electric vehicle (EV) charging infrastructure. The goal of the model is to minimize total investment costs and decrease energy purchases from…
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Artikel Jurnal
A New Multi Deep Learning Technique With MR‐IG Input Selection Algorithm for Multi‐Step Wind Forecasting
ABSTRACT In recent years, the use of renewable energy sources has increased significantly. Among these, wind energy stands out as abundant, cost‐effective, highly efficient in energy conversion, and environmentally sustainable. This study proposes a hybrid approach based on advanced deep learning…
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Artikel Jurnal
RETRACTED: Investigation and 3E (economic, environmental and energy) analysis of a combined heat and power system based on renewable energies for supply energy of sport facilities
Abstract Due to the regular reduction of fossil fuels and the increase in emissions as a result of fossil fuel consumption, the use of renewable energy‐based systems is increasing gradually and microgrid systems have developed significantly due to the simultaneous production of electricity and heat…
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Artikel Jurnal
Renewable Energy Integration into Industrial and Residential Buildings: A Study Across Urban, Rural, and Coastal Areas
ABSTRACT Integrating renewable energy sources (RES) into buildings is one of the most important approaches to achieving sustainable energy systems. This paper presents a comprehensive study that evaluates the performance of RES such as photovoltaic (PV), wind, geothermal and biomass in different…
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Artikel Jurnal
Research on Transient Overvoltage Characteristics and Mapping Relationships of Photovoltaic/PMSG Under Electromagnetic/Electromechanical Models
ABSTRACT As the ‘dual carbon’ goals continue to advance in China, the grid‐connected scale of new energy power generation equipment such as wind power and photovoltaic power is constantly increasing. Transient overvoltage issues caused by fault disturbances are becoming increasingly frequent…
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Artikel Jurnal
A Comprehensive Review on Peer‐to‐Peer Energy Trading: Market Structure, Operational Layers, Energy Cooperatives and Multi‐energy Systems
ABSTRACT The energy sector is experiencing a significant transformation due to the rising focus on renewable resources, smart grid technology advancements, energy management improvements, and operational efficiency. To successfully manage this transformation, all actors in the sector need to…
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Artikel Jurnal
Implementing Enhanced Fault Detection and Classification in DC Microgrids With Savitzky‐Golay Filter
ABSTRACT Protection of DC microgrids is essential to ensure the safe and reliable operation of the whole power system. This paper introduces a simple and effective methodology for fault detection and classification in DC microgrids. The proposed method transforms the measured current from only one…
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Artikel Jurnal
DBSRad‐LSTM: DBSCAN Clustering for Load Forecasting in Microgrids Using Radial LSTM
ABSTRACT In this study, an innovative approach with enhanced recursive feature clustering for load forecasting in smart solar microgrids by integrating density‐based spatial clustering (DBSCAN) and radial basis function neural networks (RBFNN) encoder is proposed. Our methodology is based upon…
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