DSIM’s Post

I'm thrilled to present my latest published paper, which addresses key challenges in integrating #renewable_energy_resources into distribution systems. This work focuses on advancing #voltage_monitoring and #voltage_control to ensure reliable operations in increasingly complex grids. Abstract: The increasing penetration of renewable energy resources in distribution systems necessitates high-speed monitoring and control of voltage for ensuring reliable system operation.  However, existing voltage control algorithms often make simplifying assumptions in their formulation, such as real-time availability of smart meter measurements (for monitoring), or real-time knowledge of every power injection information (for control). This paper leverages the recent advances made in high-speed  state estimation for real-time unobservable distribution systems to formulate a #deep_reinforcement_learning (DRL)-based control algorithm that utilizes the state estimates alone to control the voltage of the entire system. The results obtained for a modified (renewable-rich) IEEE 34-node distribution feeder indicate that the proposed approach excels in monitoring and controlling voltage of active distribution systems. #Voltage_Control #Smart_Grids #Deep_Reinforcement_Learning #DRL #Renewable_Energy #Smart_Inverters #Distribution_Systems #Energy_Engineering #Inverter_Coordination #Solar_PV #Real_time_Control #State_Estimation #Real_time_Monitoring #Data_Driven_Voltage_Control Find the Full Paper Here: https://lnkd.in/gXQMBrEt

The first 2025 issue of IEEE Power and Energy Magazine was posted online a few hours ago. It seems IEEE Pubs don't take a New Year's break! I'm thrilled to report that the headline is Wide-area Power Grid Monitoring and Control. Interestingly, the MIT Technology Review forecasted this in 2004 as one of the fastest-rising technologies. Read the issue to see if that prediction has held up to the facts 20 years later! Don't miss out on this insightful read—check out the latest issue now and stay ahead in the field of power and energy!

To address the ever-increasing stability challenges in contemporary power grids dominated by renewable energy sources,  we present the all-port unterminated admittance passivity-oriented controller design framework. It allows for analyzing and preventing an interlinking converter’s destabilizing impact in grid-connecting scenarios with an arbitrary, even meshed, termination (grid impedance). In addition to the passivity properties of the converter's unterminated input and output self admittances, the coupling passivity property is examined, which accounts for the possible destabilizing impact of port-coupling. Examples of two techniques for enhancing a converter's all-port unterminated admittance passivity, by active damping impedance emulation and multi-sampled pulse-width modulation, are examined and shown to be effective. The proposed methodology is experimentally  validated. We are glad to share our latest publication on the topic: “All-Port MIMO Admittance Passivity for Robust Stability of DC-DC Interlinking Converters” in #IEEE Transactions on Power Electronics, authored by Ruzica Cvetanovic, Ivan Petrić, Paolo Mattavelli and Simone Buso. The paper is #OpenAccess available via #IEEEXplore at: https://lnkd.in/eH-9CuRW #powerelectronics  #digitalcontrol #unipd #smartgrids #dynamicinteractions #renewablenergy 

Integrated generation and transmission network expansion planning is crucial for developing resilient and efficient power systems. This approach enables the joint optimization of investment and operational decisions while considering the interaction between the generation system and the transmission network. In this new article, we adopt the full AC optimal power flow model alongside hybrid metaheuristic techniques to achieve more realistic and cost-effective expansion plans that ensure a reliable long-term power supply. Special thanks to Santiago Torres Contreras, Rubén Romero, Wilson Chumbi, Hakan Ergun, and Dirk Van Hertem for their invaluable contributions. Universidad de Cuenca, Unesp Câmpus de Ilha Solteira, Universidade Estadual Paulista Júlio de Mesquita Filho, VLIR-UOS, Etch - Energy Transmission Competence Hub.

Zhang Haoran and his team present a hybrid model combining empirical mode decomposition, autoregressive integrated moving average, and temporal convolutional networks to forecast short-term electricity prices with high accuracy. Published in the CSEE Journal of Power and Energy Systems Vol 10, Issue 3, this model effectively handles the high frequency, multiple seasonality, and nonlinearity of electricity prices, significantly improving prediction accuracy compared to existing methods. This paper provides a robust tool for energy producers and consumers to develop effective bidding strategies in volatile markets. You can check on the whole article on IEEE Xplore by: https://lnkd.in/dbfP_hcU All CSEE JPES articles are OA published on IEEE Xplore. #powergrid #powergeneration #renewableenergy #energy #cleanenergy #solarenergy #future #sustainability #openaccess #openscience #opendata #ieeexplore #ieee #csee #engineering #renewableenergysystems #renewables #greenenergy #smartgrid #smartcity #smartenergy #powerengineering #powerelectronics #powerdistribution #powerindustry #powerconversion #powergrids #powerenergy #journals #specialissue #research #universitylife #energystorage #academics #engineeringlife #sustainable #electricity  #microgrids

Join us for a deep dive into the future of transmission planning with Ning Lin's presentation on "Parallel EMT Simulations: DC Grids" at IEEE Power & Energy Society General Meeting. Explore how scalable EMT simulations are revolutionizing the design and analysis of DC grids, enabling greater efficiency and reliability. Don't miss this opportunity to hear Lin discuss cutting-edge research. #ieeepes #ieeepesgm #powerengineering #renewableenergy

Understanding DSO must: gridvolution Networks need to host & integrate hundreds of millions of distributed solar panels, EV, heat pumps, batteries & flexible loads. Current grid control systems are obsolete, heading to grid bottlenecks, poor & short grid capacity, which delays project construction, both renewable & electrification. To confront this enormous challenge, DSOs need to shift to a new generation of network technology where digital twins (a mature concept used for decades to make system operators decisions) are key to provide DSOs with real time visibility, analytics and flexibility capabilities. I recommend reading the paper below: "Real-Time Grid Digital Twins: The backbone of the next generation of network technology for distribution system operators", by founders of Plexigrid, Pablo Arboleya & Alberto Méndez Rebollo With a great must-DSO-vision, the article describes some relevant applications of digital twins, such as: 📣  Management of network control devices, ie allowing to anticipate the behavior of voltage profile & to maximise operational key performance indicators 📣  Network loss Management where digital twins allow the selection of optimal switches configuration &, along with artificial intelligence, can help to identify fraud patterns & fraudsters 📣  Network Capacity management, digital twins as an intelligent real time interplay with flexible loads that are able to analyse, manage and calculate the available network capacity in real time so non-firm connections could be offered. 📣  Flexibility management from the Operational Point of View- generating realtime & near real time base scenarios to determine the activation of flexibility (Explicit and Implicit), although the base scenario creation is critical & crucial With different types of activation environment- direct, semidirect & indirect- that are addressed to different active consumers & according to the different agreements between them & the DSOs (nonfirm connections, bilateral agreements between aggregators and DSOs, or when there are flexibility markets platforms) Also the article 🔎 Presents examples of how digital twins are used in flexi markets according to the European model (Explicit Flexibility Activation System) & the Australian Model (Implicit Flexibility Activation System) and introduces the concept of Dymamic Operation Envelopes (DOEs) that are dynamic network codes used to activate the injection-consumption of power in the grid in the Australian model 🔎 Outlines the difficulty of the implementation of digital twins in the large distribution networks. The article describes a number of factors: The level of complexity & the number of nodes, the amount of flexible assets to be orchestrated & the costs of control infrastructure to be installed which is one of the biggest challenges The need is obvious, digital twins are a must It is clear is that digital twins will revolutionase the way electricity is distributed and operated!

Thrilled to announce that our paper, "Optimizing Microgrid Energy Management using Reinforcement Double Deep Q-Networks with Prioritized Experience Replay," has been published by IEEE as part of the 2024 3rd International Conference on Advanced Electrical Engineering (ICAEE)! 🎉 In this work, we tackle a critical challenge in the modernization of the electric grid: efficient energy management in microgrids. Leveraging the power of reinforcement learning, we developed a novel agent using Double Deep Q-Networks (DDQN) with Prioritized Experience Replay to optimize battery storage management. Our approach ensures: 🔋 Maintaining battery health and State of Charge (SoC). ⚡ Optimized utilization of distributed energy resources. 🔌 Seamless integration and uninterrupted power supply. The research was tested in a simulated environment (using Simulink and Python) to handle the dynamic and complex interactions of microgrids, demonstrating promising results in diverse scenarios. 🌍 A huge thanks to my co-authors: youcef messlem, Kouadria Selman, Ahmed Safa, and Djaffar OULD ABDESLAM, for their collaboration and dedication to advancing the field of smart grid technologies. 🙏 📖 Read the paper here: https://lnkd.in/eBWA782d #Research #Microgrids #ReinforcementLearning #SmartGrids #EnergyManagement #IEEE #Sustainability

The Scalability of EMT Simulation - 1 As the complexity of power systems grows with the integration of renewable energy, energy storage, and advanced grid control technologies, the demand for accurate simulations becomes more critical than ever. Electromagnetic Transient (EMT) simulation has become a key tool in analyzing these complex systems, offering a high level of detail in transient phenomena. But one of the pressing challenges remains: scalability. Can EMT simulations effectively scale to match the growing size and complexity of today’s power grids? Developing scalable EMT simulation solutions is not only about improving computational power but also optimizing algorithms for parallel processing and enhancing the efficiency of numerical solvers. As we push towards wide-area simulations, it is critical to address these scalability challenges head-on, ensuring that our simulations are both accurate and manageable for large-scale power systems. At Quark Power Inc., we are actively working on advancing the next generation of EMT simulation tools, such as our Quark Power Transient Simulator (QPTS), to meet these challenges. By leveraging cutting-edge computing techniques, we aim to enable faster and more detailed simulations across a wide range of scenarios. Let’s continue the conversation on how to test the scalability of an EMT simulation tool. What are your thoughts on the scalability of EMT simulation? #EMT #PowerSystems #RenewableEnergy #GridStability #Simulation #Scalability #EnergyTransition

Tthis paper studies simultaneous #lightwave #information and #power #transfer (#SLIPT) systems employing photovoltaic #optical #receivers (#RXs). The authors consider the case, where the optical RX is illuminated by ambient light and an intensity-modulated information-carrying #free #space #optical (#FSO) signal. To overcome the possible absence of ambient light, e.g., indoors or at night, they additionally assume that the optical RX receives a #dedicated #energy-#bearing broadband optical signal. Additionally, to efficiently harvest energy from broadband light, they propose a novel optical RX based on #multi-#junction #photovoltaic #cells. Exploiting the analysis of the equivalent two-diode electrical circuit for the multi-junction photovoltaic RX, they carefully model the current flow through the photovoltaic cell and derive an accurate #energy #harvesting (#EH) model. Furthermore, they also derive novel approximate EH models for the two cases, where the optical RX is equipped with a single and multiple p-n junctions, respectively.----Nikita Shanin, Hedieh Ajam, Vasilis Papanikolaou, Laura Cottatellucci, @Robert Schober More details can be found at this link: https://lnkd.in/gtfP8fb7