DeepEMS: Multimodal optimal energy management of microgrid systems based on a hybrid multi‐stage machine learning model

The Journal of Engineering, Journal Year: 2024, Volume and Issue: 2024(10)

Published: Oct. 1, 2024

Abstract The effective management of microgrids is important towards transition to sustainable energy paradigm. By optimizing the utilization different sources, such as solar photovoltaic panels and storages, it improves reliability grid develops resiliency in dealing with challenges unexpected variations demand. To this end, proposed paper presents DeepEMS, a system developed manage through incorporation diverse intelligent algorithms. DeepEMS provides dynamic microgrid Bidirectional Long Short‐Term Memory (BiLSTM) networks, Sliding Linear Programming (SLP), Random Forest (RF). implementing these methodologies, can optimize consumption throughout by dynamically identifying coordinating needs various sources. achieves precise multimodal optimization facilitates integration storage systems, interactions, renewable sources (RES), demonstrated simulations data analytics. presented performance control, resource allocation, management, utilization. Furthermore, comparative analysis alternative models including XGBoost, Light GBM, RF, Decision Trees, consistently higher measured several key indicators (KPIs).

Language: Английский

A Fractional-Order Model Predictive Control Strategy with Takagi–Sugeno Fuzzy Optimization for Vehicle Active Suspension System

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(10), P. 610 - 610

Published: Oct. 18, 2024

Aiming at the problem of system controller performance failure caused by improperly setting value each weighting coefficient model predictive control (MPC), a fractional-order MPC strategy with Takagi–Sugeno fuzzy optimization (T–SFO MPC) is proposed for vehicle active suspension system. Firstly, framework systems designed based on 1/4 model. Then, we analyze influence different coefficients and introduce theory to adaptively adjust controller. Finally, responses T–SFO MPC, traditional linear quadratic regulator (LQR), passive are numerically analyzed under various road conditions. Simulation results show that response significantly improved compared control, LQR weight can be adjusted according dynamic changes response. Compared suspension, root mean square (RMS) vertical acceleration roads decreased maximum 37.97%, RMS deflection tire load 32.94% 37.8%, respectively. These validate method achieve coordinated comfort handling stability.

Language: Английский

A scientometric analysis on DFIG-based wind energy conversion system research trends

Deleted Journal, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 18, 2024

Abstract This paper aims to provide a comprehensive summary of the current research on global wind energy systems, in particular Wind Energy Conversion Systems (WECS) with Doubly Fed Induction Generator (DFIG). The analysis is based Scopus database from year 2001 2024 and uses multiple methodologies for analysis. During this period, 3,196 documented papers related DFIG-based WECS systems were identified. Only one was published 2002, while 324 2018. Among 22 countries contributing field, China, India, Morocco led 340, 317, 131 articles, respectively. However, India demonstrated best quality research, only 9% its 317 classified as low quality, 97.2% these considered high quality. Team efforts are prevalent, accounting 79.32% work. most frequently used journals publication Journal Renewable 83 IEEE Transactions Industry Applications 52 International Electrical Power 50 articles. English commonly language, reported 97% papers. As result, points out new directions stimulates further investigations into

Language: Английский