This article introduces an #efficient #multistep #nonparametric residual network for improved #solar #power #forecasting. The proposed architecture first incorporates a synchrosqueezing transform to extract #high-#resolution #time-#frequency coefficients of solar power inputs in their respective #time-#frequency #scales. An improved #residual #network, a #Multicondense #Residual #Network (#M-#cDRN), integrating multiresidual network and condense network techniques to #predict #solar #power #coefficients, is proposed. M-cDRN addresses challenges of overfitting and vanishing gradients in residual networks. A quantile regression network is employed to generate quantiles with different proportions.----Garima Prashal, Sumathi parasuraman, Narayana Prasad Padhy More details can be found at this link: https://lnkd.in/gxX5PnAx
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📢 Excited to announce that our paper, "Systematic Decoupling Grid-Forming Control for Utility-Scale Inverter-Based Distributed Energy Resources in Weak Distribution Grids," has been published in the IEEE Open Access Journal of Power and Energy! Our paper introduces an innovative systematic decoupling grid-forming control strategy for utility-scale inverter-based DERs. This control design, grounded in a systematic perspective considering the inherent coupling characteristics of the entire distribution grid, addresses the challenge of P-Q coupling due to resistive network characteristics. By offering independent, accurate, and autonomous frequency and voltage regulation, it can significantly enhance stability and dynamic performance, especially for weak distribution grids and microgrids. This paper provides a cost-effective, communication-free control solution with a simple and robust circuit design, promising easy commercialization. The findings hold immense potential for the power industry, promising improved grid resilience and efficiency, especially in the integration of renewable energy sources. 🌟 #RenewableEnergy #GridformingControl #IEEEJournal #PowerAndEnergy #UtilityScaleInverterBasedDER #WeakGrids #Microgrids
Systematic Decoupling Grid-Forming Control for Utility-Scale Inverter-Based Distributed Energy Resources in Weak Distribution Grids
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We are pleased to announce the publication of our research group's latest work, titled "Novel Quantification Method of Aggregated Energy Flexibility Based on Power-Duration Curves," authored by #Freddy_Plaum, Argo Rosin, and Roya A., in IEEE. The paper presents a new method for quantifying aggregated energy flexibility, a key factor in integrating distributed renewable energy sources. This method utilizes flexibility curves to capture the asymmetric and non-linear characteristics of energy flexibility. A case study involving 1,000 heat-pump-based residential buildings highlights significant rebound effects and offers valuable insights for energy aggregators. Read the full paper here: [https://lnkd.in/dVpSKRVw] #EnergyFlexibility #SmartGrid #RenewableEnergy #TalTech #Microgrid
Novel Quantification Method of Aggregated Energy Flexibility Based on Power-Duration Curves
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I'm excited to share that our collaborative journal paper titled "Improved RCC-Based MPPT Strategy for Enhanced Solar Energy Harvesting in Shaded Environments" has been published in IEEE Access! In this work, we propose an improved ripple correlation control (iRCC) algorithm designed to overcome the challenges of maximum power point tracking (MPPT) in photovoltaic (PV) systems under both uniform and partial shading conditions. Our iRCC method effectively detects and tracks the global maximum power point (GMPP), significantly enhancing energy output, especially in shaded environments. 🔍 Key Highlights: Enhanced Performance: Our proposed iRCC algorithm increases the efficiency of PV system under partial shading condition compared to conventional RCC methods. Dynamic Adaptation: The iRCC method dynamically adapts to changing weather conditions, ensuring optimal energy harvesting. Thorough Validation: The algorithm was rigorously tested through simulations in MATLAB and a hardware prototype, demonstrating superior tracking efficiency. This publication is a result of extensive collaboration and dedication, and I am grateful to my co-authors and the entire research team for their hard work. https://lnkd.in/gWqnyuGC Looking forward to further contributions in the field of renewable energy and continued innovation in control system design. #RenewableEnergy #SolarPower #MPPT #IEEEAccess #Research #Innovation #Collaboration
Improved RCC-Based MPPT Strategy for Enhanced Solar Energy Harvesting in Shaded Environments
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Proud to anounce that the paper "A computer-assisted Faulted Phase Selection Algorithm for dealing with the effects of Renewable Resources in Smart grids" presented during the NEIS 2023 congress is now available in IEEE Xplore. Link: https://lnkd.in/dcgmrZ4q Abstract: The increase in renewable generation in the grid has brought new challenges for the protection systems currently installed in distribution and transmission networks. Among these challenges is the potential misoperation of the faulted phase selection logic currently implemented in many commercial protection relays. This article presents a Faulted Phase Selection (FPS) algorithm based on incremental line-to-line voltages. Considering the advantages of IEC 61850 standard, the algorithm is implemented in a computer-based system using C++ code. The FPS operation is tested in Hardware-in-the-Loop (HiL) mode using a Real Time Digital Simulator (RTDS Technologies Inc.). Different fault conditions are considered during the test, varying fault type, resistance, and location. Furthermore, evolving faults are also included in the tests. From the study, it is concluded that the proposed algorithm operates correctly in all the analyzed scenarios. Thanks to H2020 FLEXIGRID project and CIRCE - Centro Tecnológico for making this work possible.
A computer-assisted Faulted Phase Selection Algorithm for dealing with the effects of Renewable Resources in Smart grids
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Excited to share my latest paper, "Unified Machine Learning Based Fault Detection Strategy Through Voltage-Sensing for Both AC and DC Side Faults in Photovoltaic Farms," published on IEEE Xplore. Photovoltaic (PV) farms, consisting of a vast number of solar panels, are widely recognized as a viable source of renewable power generation. However, fault detection and protection remain critical challenges in PV farms. Conventional methods, such as over-current relays, often prove inadequate, leading to system disruptions. The intricate nature of PV arrays necessitates fast and accurate fault detection. In this paper, we propose a unified machine learning-based approach that detects various fault types on both DC (PV) and AC (grid) sides using just one voltage sensor per side. This innovative approach provides a comprehensive solution for fault detection, classification, and protection—all within a unified framework. #RenewableEnergy #MachineLearning #FaultDetection #PVFarms #SmartGrids
Unified Machine Learning Based Fault Detection Strategy Through Voltage-Sensing for Both AC and DC Side Faults in Photovoltaic Farms
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The electric grid is a vast, complex engineering marvel that connects us all. But it was built more than a century ago and is no longer equipped to meet today’s energy demands—especially when it comes to the adoption of renewable resources like wind and solar. As Tapestry’s Ravi Jain argues in a new whitepaper, the transformation of our power grid to digital is not a matter of “if,” but “how fast.” Published in partnership with Alexina Jackson and Colleen Lueken from The AES Corporation, “An Architecture for the Digital Grid” outlines a vision for a secure digital grid that we can move to safely, reliably, and affordably. Inspired by the internet, it outlines the structures, interactions and infrastructure that will be needed to make the transition to a digital grid and the critical role of AI in this process. Read the whitepaper here: https://lnkd.in/gRxszhfQ Industry experts are invited to share their comments via this form: https://lnkd.in/ggJAPq6E
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🌞 Maximizing Photovoltaic Cell Efficiency: Key Factors to Watch 🌞 In the world of renewable energy, one of the most critical elements is the efficiency of photovoltaic (PV) cells. Efficiency directly determines how much sunlight can be converted into usable electricity. 🔋 Here are a few key factors influencing PV cell efficiency: 1. Material Quality: The purity of silicon or other materials used in PV cells greatly affects performance. 2. Temperature: Higher temperatures reduce the efficiency of PV cells. Innovative cooling techniques can help mitigate this. 3. Light Absorption: Increasing the amount of sunlight absorbed through anti-reflective coatings and surface texturing boosts overall efficiency. 4. Cell Architecture: Advanced designs, such as multi-junction cells, can capture a wider spectrum of sunlight. Improving these factors is essential as we move toward a sustainable energy future. 🌍⚡ What are your thoughts on the latest innovations in PV technology? #RenewableEnergy #SolarPower #Engineering #Sustainability #PVCells #EnergyEfficiency
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Dear connections I am currently researching on “the impacts of loading levels on coupling techniques in smart grid co-simulation of transmission and distribution networks with Distributed Energy Resources (DERs)”. 🌟 Interested in collaborating or seeking partnerships to publish our findings! 📝 Let's connect and drive innovation in the field of smart grid technology together. #SmartGrid #DERs #Research #Collaboration #Innovation
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📄 Paper sharing: Analysis of Hosting Capacity and Power Quality in a Distribution Line with a Photovoltaic Installation: A Case Study We are pleased to introduce the paper "Analysis of Hosting Capacity and Power Quality in a Distribution Line with a Photovoltaic Installation: A Case Study" written by Salma Bennai, Afef Bennani-Ben Abdelghani, Ilhem Slama-Belkhodja and Mahrane Khalfoun from University of Tunis El Manar and STEG. The paper was presented at the 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE). Know more about this paper: https://lnkd.in/gpK9NBfT 👉 Brief Introduction The paper explores the issues related to overloading low-voltage distribution lines and its effects on power quality and system stability. The study primarily investigates the integration of photovoltaic(PV) systems into low-voltage feeders, considering both commercial and residential users. It aims to assess the existing and future potential of these distribution lines to accommodate PV installations, particularly focusing on the shift of residential consumers towards becoming prosumers. Additionally, the research emphasizes the consequences of exceeding the distribution line's capacity on power quality and underscores the necessity of adhering to power quality regulations stipulated by grid codes and standards. ✅ Commercial PV inverter simulation using DSIM To investigate potential impacts of high energy consumption or large-scale integration of PV systems at the aggregated user level, considering high-energy-consuming commercial buildings equipped with large PV systems, this paper uses DSIM to simulate commercial PV inverter and analyze the system's performance. The simulation converts one real-life hour into one simulated second. Moreover, the commercial PV setup includes a power-controlled load in parallel. 🚀 "These simulations are conducted using the DSIM software which is capable of simulating simple topologies or large and complex systems with astounding speed and accuracy." #DSIM #Simulation #Powerelectronics #Photovoltaic #Inverter
Analysis of Hosting Capacity and Power Quality in a Distribution Line with a Photovoltaic Installation: A Case Study
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Empere® IPQBHG is a technology company that scientifically specializes in quantum superconductivity to achieve significant advances in power generation and provides state-of-the-art bulk quantum power plants that can independently produce electricity and operate indefinitely without input power. The new quantum superconducting bulk power plants are capable of running indefinitely without any external input energy, it is a self-powered system that provides net electricity with 100% production efficiency without energy loss, clean all year round without outages or without depending on bad weather conditions or location, ranging from kW -MW- GW-TW quantum power plants, it guarantees access to its independent energy source, it is a unique technological advancement that provides economic gain production for any application requiring fusion with clean energy. “Our IP-QBHG quantum power plants are self-powered and have the potential to decentralize power generation, decarbonize the economy, and reduce energy prices kWh electricity. It is not just a product; it is a transformative shift towards a cleaner and more sustainable energy landscape for a better quality of life.” 'Please do not hesitate to contact us for any questions, QBHG is scientifically validated and technologically certified the prototype and data license. Call free for any questions about (3D) Prefabrication Engineering with an American certificate: designed for the implementation of large-scale projects or visit our website: www.empere.co www.empere.net and request code no.
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