EV Charging Management: a Forecasting Model Development for Parking Time and Arrival State of Charge

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 386 - 391

Published: Jan. 1, 2024

Language: Английский

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Optimal Supply-Side and Demand-Side Management Strategies for Energy Efficiency in Residential Buildings using Particle Swarm Optimization

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 188 - 193

Published: Jan. 1, 2024

Language: Английский

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Designing control systems and multimode power management of WECS including Energy Storage

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 7 - 12

Published: Jan. 1, 2024

Language: Английский

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Optimal Day Ahead Active and Reactive Power Management in Residential Buildings using Particle Swarm Optimization

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 170 - 175

Published: Jan. 1, 2024

This paper introduces an innovative Active and Reactive Residential Building Energy Management (AR-RBEM) system, seamlessly integrated with a smart microgrid the Electrical Power Grid (EPG) supplier. The proposed AR-RBEM computes optimal active reactive power setpoints for each energy source over next 24 hours based on predicted PV generation load consumption. strategy aims to achieve two primary objectives: minimize overall expenses, considering both consumption, account Storage System (ESS) degradation costs. Additionally, it seeks reduce Peak-to-Average Ratio (PAR) carbon emissions from supplier's perspective. To tackle this multi-objective problem, metaheuristic algorithm which is Particle Swarm Optimization (PSO), employed. assess effectiveness of approach, comparative analyse conducted, emphasizing significance concurrently managing compared system exclusively (A-RBEM). Both strategies are evaluated using Time Use Tarriff (TOU) real world data. analysis underscores advantages AR-RBEM, showcasing benefits in terms cost reduction 59,6%, substantial 25.3% alternative strategy.

Language: Английский

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Forecasting Occupants’ Presence and Photovoltaic Power using an Enhanced Stacking Algorithm for Demand/Supply Energy Management

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 290 - 295

Published: Jan. 1, 2024

Language: Английский

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Tabu Search Algorithm for Optimal Electric Water Heating Energy Management

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 835 - 840

Published: Jan. 1, 2024

Language: Английский

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Theoretical Development and Experimental Evaluation of a Nonlinear Observer for sensorless WECS

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 1 - 6

Published: Jan. 1, 2024

Language: Английский

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Wind turbine and PV power prediction using a deterministic data-driven model with variational mode decomposition preprocessing

Transactions of the Institute of Measurement and Control, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 16, 2024

This study develops a method for accurately forecasting solar radiation (SR), wind speed (WS), and air temperature (AT) the coming 24 hours in order to predict energy production from photovoltaic (PV) panels turbines (WT) positive buildings. Input data are pre-processed through variational mode decomposition (VMD) broadband feature extraction, which is then decomposed into smooth modes. The application of Salp Swarm Algorithm (SSA) aims optimize VMD parameters enhance precision extraction. A thorough analysis performed identify essential input features. Residual pre-processing between variables their modes further enhances model performance. stacking algorithm (SA) used both residuals data. Performance evaluation using metrics such as root mean square error (RMSE), normalized (NRMSE), absolute (MAE), (NMAE) indicates reduction rates across measurement scales. For example, under adverse weather conditions, NRMSE NMAE PV power 2.50% 1.95%, respectively.

Language: Английский

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Robust Braking Pressure Control for an Electrohydraulic Brake System under Friction and Disturbance Conditions

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 539 - 544

Published: Jan. 1, 2024

This paper addresses the challenges in hydraulic pressure control for an electrohydraulic brake (EHB), considering nonlinearities and uncertainties such as friction parameter variations. The proposed solution is a robust integral backstepping (IBC) strategy, which incorporates motor current dynamics LuGre model. A nonlinear observer introduced to estimate unmeasurable internal state of IBC applied EHB, resulting improved steady-state behavior robustness. concludes with global stability analysis using Lyapunov theory performance validation through simulation MATLAB/Simulink.

Language: Английский

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Position and Speed Estimation for a Surface-Mount PMSM using RBFNN Observer with Stability Guarantee

IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(13), P. 533 - 538

Published: Jan. 1, 2024

Language: Английский

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