Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model
Conference paper
Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. (2023). Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model. IEEE Energy Conversion Congress and Exposition (ECCE). Center in Nashville, Tennessee | October 29 – November 2, 2023 29 Oct - 02 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECCE53617.2023.10362160
| Authors | Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. |
|---|---|
| Type | Conference paper |
| Abstract | The proliferation of electric vehicles will increase demand and alter the load profiles on final distribution substations quicker than traditional reinforcement techniques can respond. As it is nontrivial to determine in advance, to street level granularity, where and when vehicles will charge, a more flexible approach to substation reinforcement is preferable to the existing rip-out-and-replace technique for an overloaded transformer. Distribution Substation Dynamic Reconfiguration (DSDR) combines reinforcement using parallel transformers with reconfiguration algorithms to flexibly operate the substation in the face of uncertain loading conditions, by dynamically switching transformers in and out of service. This paper presents a digital twin and a benchtop scale model of the DSDR substation for the development and evaluation of such algorithms, along with two algorithms for optimizing substation technical losses. Initial results show that on a single tested substation model, efficiency increased by 5.40% with Net-Zero Year 2050 load profiles versus traditional reinforcement. |
| Keywords | Substations , Heuristic algorithms , Net zero , Loading , Switches , Transformers , Digital twins |
| Year | 2023 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISSN | 2329-3748 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ECCE53617.2023.10362160 |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 29 Dec 2023 | |
| Publication process dates | |
| Accepted | 29 Oct 2023 |
| Deposited | 26 Feb 2024 |
| Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/abstract/document/10362160/keywords#keywords |
| Additional information | Copyright 2024 IEEE - All rights reserved. |
Permalink -
https://openresearch.lsbu.ac.uk/item/9659x
Download files
40
total views33
total downloads1
views this month1
downloads this month
Export as
Related outputs
Automated Marker-based Abnormal Gait Pattern Detection Using Novel 6-dimensional Skeleton
Wickramarachchi, W., Brown, R., Ghavami, M., Berthaume, M. and Dudley-Mcevoy, S. (2024). Automated Marker-based Abnormal Gait Pattern Detection Using Novel 6-dimensional Skeleton. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom
Khalid, B., Khalesi, B., Ghavami, N., Brown, R., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2024). Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence
Siddiqui, H., Akmal, A., Iqbal, M., Saleem, A., Raza, M., Zafar, K., Zaib, A., Dudley-Mcevoy, S., Arambarri, J., Castilla, Á. and Rustam, F. (2024). Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors. 24 (12), p. 3754. https://doi.org/10.3390/s24123754Deep Learning Stack LSTM Based MPPT Control of Dual Stage 100 kWp Grid-Tied Solar PV System
Umair Y., Ahmet A.K. and Ali, Z. (2024). Deep Learning Stack LSTM Based MPPT Control of Dual Stage 100 kWp Grid-Tied Solar PV System. IEEE Access. 12, pp. 77555-77574. https://doi.org/10.1109/ACCESS.2024.3407605Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid
Hamza, Ali, Ali, Zunaib, Dudley, Sandra, Uneeb, Muhammad, Alghamdi, Sultan M and Christofides, Nicholas (2024). Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid. 2024 IEEE Texas Power and Energy Conference (TPEC). https://doi.org/10.1109/tpec60005.2024.10472245Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence
Dudley-Mcevoy, S., Saleem, A., Siddiqui, H. and Sehar, R. (2024). Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence. Expert Systems with Applications. 249 (PART C). https://doi.org/http10.1016/j.eswa.2024.123843Variable structure based control strategy for treatment of HCV infection
Hamza, A., Uneeb, M., Ahmad, I., Saleem, K. and Ali, Z. (2024). Variable structure based control strategy for treatment of HCV infection. Biomedical Signal Processing and Control. 89, p. 105803. https://doi.org/10.1016/j.bspc.2023.105803Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, .C.V and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). 23 - 26 Oct 2023 IEEE. https://doi.org/10.1109/ISGTEUROPE56780.2023.10408056Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, C.v. and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). https://doi.org/10.1109/isgteurope56780.2023.10408056Modeling and Experimental Investigation of Energy Management for Hybrid Electric Vehicle based on Variable Structure Control Strategy
Ali H., Muhammad U., Saleem K. and Ali Z. (2023). Modeling and Experimental Investigation of Energy Management for Hybrid Electric Vehicle based on Variable Structure Control Strategy. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG). Wollongong, Australia 03 - 06 Dec 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ETFG55873.2023.10408458Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving
Hajderanj, L., Chen, D. and Dudley-Mcevoy, S. (2023). Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving. Information Sciences. 661, p. 120030. https://doi.org/10.1016/j.ins.2023.120030Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication
Wang, J., Qiu, D., Wang, Y., Ghosh, S., Pinson, P., Dudley, S. and Strbac, G. (2023). Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication. 2023 IEEE Power & Energy Society General Meeting (PESGM). https://doi.org/10.1109/pesgm52003.2023.10252696Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Siddiqui, H.U.R., Nawaz, S., Saeed, M., Saleem, A., Raza, M.A., Raza, A., Aslam, M.A. and Dudley, S. (2023). Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders. Engineering Applications of Artificial Intelligence. 127, p. 107205. https://doi.org/10.1016/j.engappai.2023.107205Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence
Siddiqui, H., Saleem, A., Raza, M., Villar, S., Lopez, L., Díez, I., Rustam, F. and Dudley-Mcevoy, S. (2023). Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics. 13 (18), p. 2881. https://doi.org/10.3390/diagnostics13182881Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain
Movafagh, M., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2023). Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain. 2023 IEEE Conference on Antenna Measurements & Applications. Genoa, Italy 15 - 17 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE).Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning
Siddiqui, H., Faizan Y., Rustam, F., Soriano, E., Ballester, J.B., Díez, I., Dudley-Mcevoy, S. and Ashraf, I. (2023). Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. Sensors. 23 (15), p. 6839. https://doi.org/10.3390/s23156839Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications
Ali, Z., Putrus, G., Marzband, M., Gholinejad, H., Saleem, K. and Subudhi, B. (2023). Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications. IEEE Transactions on Industry Applications. 58 (5), pp. 5602-5615. https://doi.org/10.1109/TIA.2022.3164999Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device
Tiberi, G., Ghavami, M., Dudley-Mcevoy, S., Ghavami, N. and Alvarez Sánchez-Bayuela, D. (2023). Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device. ECR 2023. Vienna 01 - 05 Mar 2023 European Society of Radiology. https://doi.org//10.26044/ecr2023/C-18521A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging
Khalid, B., Khalesi, B., Ghavami, N., Raspa, G., Badia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2023). A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging. Photonics & Electromagnetics Research Symposium (Piers) 2023. Prague 06 Jun - 03 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS59004.2023.10221326Variable Structure-Based Control for Dynamic Temperature Setpoint Regulation in Hospital Extreme Healthcare Zones
Hamza, A., Uneeb, M., Ahmad, I., Saleem, K. and Ali, Z. (2023). Variable Structure-Based Control for Dynamic Temperature Setpoint Regulation in Hospital Extreme Healthcare Zones. Energies. 16 (10), p. 4223. https://doi.org/10.3390/en16104223An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features
Siddiqui, H., Ali Raza, Saleem, A., Rustam, F., Isabel De la Torre, Daniel Gavilanes Aray, Vivian Lipari, Ashraf, I. and Dudley-Mcevoy, S. (2023). An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics. 13 (6), p. 1096. https://doi.org/10.3390/diagnostics13061096Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids
Saleem, K., Alkan, B. and Dudley-Mcevoy, S. (2023). Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids. 2023 IEEE Power & Energy Society General Meeting. Orlando, Florida, US 10 - 16 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE).Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model
Rana, S., Dey, M., Loretoni, R., Duranti, M., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2023). Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model. Tomography. 9 (1), pp. 105-129. https://doi.org/10.3390/tomography9010010Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning
Siddiqui, H., Shahzad, H., Saleem, A., Khan Khakwani, Abdul Baqi, Rustam, F., Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning. Sensors. 21 (24), p. e8336. https://doi.org/10.3390/s21248336A systematic review of physiological signals based driver drowsiness detection systems.
Saleem, A.., Siddiqui, H.U.R., Raza, M.A., Rustam, F., Dudley-Mcevoy, S. and Ashraf, I. (2022). A systematic review of physiological signals based driver drowsiness detection systems. Cognitive neurodynamics. 17 (5), pp. 1229-1259. https://doi.org/10.1007/s11571-022-09898-9Forecasting Global Solar Insolation Using the Ensemble Kalman Filter Based Clearness Index Model
Ray, P. K., Subudhi, B., Putrus, G., Marzband, M. and Ali, Z. (2022). Forecasting Global Solar Insolation Using the Ensemble Kalman Filter Based Clearness Index Model. IEEE CSEE Journal of Power and Energy Systems. 8 (4), pp. 1087-1096. https://doi.org/10.17775/CSEEJPES.2021.06230Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid
Ali, Z., Saleem, K., Putrus, G., Marzband, M. and Dudley-Mcevoy, S. (2022). Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid. in: Subudhi, B. (ed.) Elsevier Renewable Energy and Plug-In Vehicle Integration Elsevier Renewable Energy and Plug-In Vehicle Integration.Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning
Dey, M., Rana, S., Wylie, J., Simmons, C. V. and Dudley-Mcevoy, S. (2022). Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning. The IET 11th International Conference on Renewable Power Generation. IET London: Savoy Place. 22 - 23 Sep 2022 Institute of Engineering and Technology (IET).Automatic User Preferences Selection of Smart Hearing Aid Using BioAid
Siddiqui, H., Saleem, A., Raza, M., Kainat Zafar, Riccardo Russo and Dudley-Mcevoy, S. (2022). Automatic User Preferences Selection of Smart Hearing Aid Using BioAid. Sensors. 22 (20), p. 8031. https://doi.org/10.3390/s222080313D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms.
Khalid, B., Khalesi, B., Ghavami, N., Sani, L., Vispa, A., Madia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2022). 3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms. IEEE Access. Volume (10), pp. 106770 - 106780. https://doi.org/10.1109/ACCESS.2022.3211957Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning
Siddiqui, H., Saleem, A., Imran B., Kainat Z., Rustam, F., De la Torre, I., Dudley-Mcevoy, S. and Ashraf, I. (2022). Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning. Electronics. 11 (18), p. 2875. https://doi.org/10.3390/electronics11182875Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2022). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. PLoS ONE. https://doi.org/10.1371/journal.pone.0271377Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems
Ali, Z., Saleem, K., Brown, R., Christofides, N. and Dudley-Mcevoy, S. (2022). Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems. Energies. 15 (5), p. e1867. https://doi.org/10.3390/en15051867Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2022). Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing. IEEE Sensors Journal. 22 (7), pp. 6931-6941. https://doi.org/10.1109/JSEN.2022.3154092An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection
Sohani, Behnaz, Abdallah, Adam Degaichia, Tiberi, Gianluigi, Ghavami, Navid, Ghavami, Mohammad and Dudley, Sandra (2021). An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection. 2021 Photonics & Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695034Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data
Rana, S., Dey, M., Riccardo Loretoni, Michele Duranti, Lorenzo Sani, Alessandro Vispa, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2021). Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics. 11 (10). https://doi.org/10.3390/diagnostics11101930A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis.
Shafique, R., Siddiqui, H., Rustam, F., Ullah, S., Siddique, Muhammad Abubakar, Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. Sensors. 21 (18). https://doi.org/s21186221Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning
Dey, M., Rana, S., Simmons, Clarke V. and Dudley-Mcevoy, S. (2021). Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning. Applied Energy. 303, p. 117656. https://doi.org/10.1016/j.apenergy.2021.117656Micro market based optimisation framework for decentralised management of distributed flexibility assets
Paladin, A., Das, R., Wang, Y., Ali, Z., Kotter, R., Putrus, G. and Turri, R. (2021). Micro market based optimisation framework for decentralised management of distributed flexibility assets. Renewable Energy. 163, pp. 1595-1611. https://doi.org/10.1016/j.renene.2020.10.003On Beneficial Vehicle-to-Grid (V2G) Services
Bentley, E., Putrus, G., Lacey, G., Kotter, R., Wang, Y., Das R,, Ali, Z. and Warmerdam, J. (2021). On Beneficial Vehicle-to-Grid (V2G) Services. 2021 9th International Conference on Modern Power Systems (MPS). Cluj-Napoca, Romania 16 - 17 Jun 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/MPS52805.2021.9492671Heuristic Multi-Agent Control for Energy Management of Microgrids with Distributed Energy Sources
Ali, Z., Putrus, G., Marzband, M., Tookanlou, M.B., Saleem, K., Ray, P.K. and Subudhi, B. (2021). Heuristic Multi-Agent Control for Energy Management of Microgrids with Distributed Energy Sources. 2021 56th International Universities Power Engineering Conference (UPEC). Middlesborough 31 Aug - 03 Sep 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/UPEC50034.2021.9548152A single-phase synchronization technique for grid-connected energy storage system under faulty grid conditions
Saleem, K., Ali, Z. and K. Mehran (2021). A single-phase synchronization technique for grid-connected energy storage system under faulty grid conditions. IEEE Transactions on Power Electronics. 36 (10), pp. 12019-12032. https://doi.org/10.1109/TPEL.2021.3071418Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls
Kazemi-Razi, S.M., Abyaneh, H.A., Nafisi, H., Ali, Z. and Marzband, M. (2021). Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls. Sustainable Cities and Society. 74, p. 103160. https://doi.org/10.1016/j.scs.2021.103160Online Sensorless Solar Power Forecasting for Microgrid Control and Automation
Ali, Z., Putrus, G., Marzband, M., Tookanlou, M., Saleem, K., Ray, P. and Subudhi, B. (2021). Online Sensorless Solar Power Forecasting for Microgrid Control and Automation. 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA). Goa, India 20 - 22 Sep 2021 IEEE. https://doi.org/10.1109/IRIA53009.2021.95886903D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS53385.2021.96950903D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. 2021 Photonics & Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695090Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle
Ghavami, M., Khalesi, B., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021