Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation DOI Creative Commons
Oleksandra Hotra, Mykhailo Kulyk, Vitalii Babak

et al.

Energies, Journal Year: 2023, Volume and Issue: 17(1), P. 27 - 27

Published: Dec. 20, 2023

During the operation of solar and wind power plants, it is necessary to solve issues related guaranteed capacity these as well frequency stabilisation in system where they operate, maintain an operating mode self-sufficiency conditions. One solutions problems use energy storage systems. This article proposes a mathematical model for study regulation processes systems with distributed generation, which includes renewable resources The novelty lies possibility determining cost indicators based on instantaneous data. allows us estimate conditions under generation becomes self-sufficient. results calculations two variants operation, generators 1500 MW, demonstrate ability proposed accurately reproduce dynamics process. calculation energy-economic real combined powerful subsystem battery-type prove competitiveness self-sufficient plants.

Language: Английский

Dynamic numerical modeling and performance optimization of solar and wind assisted combined heat and power system coupled with battery storage and sophisticated control framework DOI Creative Commons
Bashar Shboul,

Mohamad E. Zayed,

Nedaa Al-Tawalbeh

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102198 - 102198

Published: May 4, 2024

Incorporating distributed renewable energy sources into heating, power, and cooling systems is facilitating the drive toward intelligent building solutions. However, inherent uncertainties associated with controllable resources pose challenges for thermo-economic scheduling of smart buildings. Nonetheless, flexibility in buildings can be leveraged through various market mechanisms. Hence, this research introduces a sustainable energy-building system driven by an autonomous solar/dish Stirling engine (SDSE) wind turbine combined sophisticated control strategy battery storage, which designed to provide heat power requirements. The proposed also devised optimize generation, ensuring prudent conservation minimal waste, thereby amplifying overall efficiency financial viability. meticulous design accomplished advanced MATLAB/Simulink® modeling. A thorough technical sensitivity analysis meticulously hones parameters, revealing optimal operational thresholds. Simulation outcomes unveil consistent (SE) efficiency, achieving pinnacle 35%, while SDSE attains over 28%, respectively. horizontal axis turbine, encompassing 100 kW 500 modules, demonstrates coefficients spanning from 0.18 0.09, corresponding land area requirements ranging 4.22 m2 21.10 m2, emphasizing pivotal roles module optimization. This paper casts spotlight on environmental repercussions system, illustrating its potential avert up 30,000 kg CO2 emissions per kWh/year. Moreover, levelized cost electricity ranges 0.13 0.16 $/kWh, accompanied hourly that fluctuates between 3 $/h 40 $/h, Conclusively, developed modeling regarded as significant stride realm hybrid systems, replacing conventional photovoltaic/wind models cutting-edge solar/wind configurations managed storage system.

Language: Английский

Citations

22
Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis DOI Creative Commons
Ali Raza, Jingzhao Li,

Muhammad Adnan

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102188 - 102188

Published: May 3, 2024

The home energy management (HEM) sector is going through an enormous change that includes important elements like incorporating green power, enhancing efficiency forecasting and scheduling optimization techniques, employing smart grid infrastructure, regulating the dynamics of optimal trading. As a result, ecosystem players need to clarify their roles, develop effective regulatory structures, experiment with new business models. Peer-to-Peer (P2P) trading seems be one viable options in these conditions, where consumers can sell/buy electricity to/from other users prior totally depending on utility. P2P enables exchange between prosumers, thus provide more robust platform for This strategy decentralizes market than it did previously, opening up possibilities improving trade customers Considering above scenarios, this research provides extensive insight structure, procedure, design, platform, pricing mechanism, approaches, topologies possible futuristic while examining characteristics, pros cons primary goal determining whichever approach most appropriate given situation HEMs. Moreover, HEMs load framework simulation model also proposed analyze network critically, paving technical directions scientific researchers. With cooperation, age technological advancements ushering intelligent, interconnected, reactive urban environment are brought life. In sense, path living entails reinventing as well how people interact perceive dwellings larger city. Finally, work comprehensive overview challenges terms strategies, solutions, future prospects.

Language: Английский

Citations

20
An adaptive control strategy for integration of wind farm using a VSC-HVDC transmission system DOI Creative Commons
Adil Mansouri,

Abderazzak Ammar,

Abdelmounime El Magri

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102359 - 102359

Published: June 13, 2024

Language: Английский

Citations

20
Advanced control and energy management algorithm for a multi-source microgrid incorporating renewable energy and electric vehicle integration DOI Creative Commons
Karim El Mezdi, Abdelmounime El Magri, Lhoussain Bahatti

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102642 - 102642

Published: Aug. 2, 2024

This paper presents a comprehensive study on advanced control and energy management in multi-source/multi-load microgrid. The microgrid integrates solar panels, wind turbine system, Li-ion battery-based storage an electric vehicle (EV), DC load, all inter-connected through power electronic converters to bus linked the AC grid via DC/AC inverter. outlines primary objectives: voltage regulation, optimization of photovoltaic conversion, maintaining high-quality injection into grid. Given intermittent nature varying demands that affect battery life performance, novel algorithm is introduced. addresses different operating modes, such as Constant Current (CC) Voltage (CV), enhance network stability, quality, optimize distribution between various sources EV. proposed fuzzy logic controllers, known for their robustness uncertainties, flexibility, ease implementation, are employed achieve these objectives. Particle Swarm Optimization (PSO) used fine-tune parameters, ensuring optimal performance. process included minimizing Integral Absolute Error (IAE), Square (ISE), Time-weighted (ITSE) objective functions. Extensive simulations under scenarios demonstrated significant improvements accuracy, system

Language: Английский

Citations

18
Enhanced Early Prediction of Li-Ion Battery Degradation Using Multicycle Features and an Ensemble Deep Learning Model DOI Creative Commons

Meilia Safitri,

Teguh Bharata Adji, Adha Imam Cahyadi

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104235 - 104235

Published: Feb. 1, 2025

Language: Английский

Citations

2
Enhancement of fault ride-through capability of three-level NPC converter-based HVDC system through robust nonlinear control strategy DOI Creative Commons
Ilyass El Myasse, Abdelmounime El Magri, Adil Mansouri

et al.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 7, P. 100455 - 100455

Published: Feb. 10, 2024

Voltage source converter-based high-voltage direct current (VSC-HVDC) transmission systems are becoming increasingly popular for long-distance power due to their numerous advantages. However, the fault ride-through (FRT) capabil-ity of VSC-HVDC during AC faults remains a key challenge that needs be addressed ensure uninterrupted operation under challenging grid conditions. This paper presents and analyzes novel nonlinear control scheme based on robust sliding mode approach improve FRT capability systems. The proposed modification converter's active make it more sensitive any changes in voltage magnitude at points common coupling (PCCs) side. helps maintain DC sta-bility prevent converter from tripping faults. performance is evaluated using series ex-perimental investigations digital signal processor (DSP) within Processor-in-the-Loop (PIL) quasi-real-time simulation. PIL simulations closely examine system's response with varying remaining voltages durations. results demonstrate can effectively stable

Language: Английский

Citations

9
A Multi-Agent System Approach for Real-Time Energy Management and Control in Hybrid Low-Voltage Microgrids DOI Creative Commons

Doha El Hafiane,

Abdelmounime El Magri, Houssam Eddine Chakir

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103035 - 103035

Published: Oct. 1, 2024

Language: Английский

Citations

9
Stability Improvement of Microgrids Under Dynamic Load Conditions: A New Adaptive Virtual Synchronous Generator Based Virtual Inertia Control Approach DOI Creative Commons
Md Asaduzzaman Shobug, Fuwen Yang, Junwei Lu

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104556 - 104556

Published: March 1, 2025

Language: Английский

Citations

1
An improved control for a stand-alone WEC system involving a Vienna rectifier with battery energy storage management DOI
Nabil Elaadouli, Rachid Lajouad, Abdelmounime El Magri

et al.

Journal of Energy Storage, Journal Year: 2023, Volume and Issue: 76, P. 109716 - 109716

Published: Nov. 22, 2023

Language: Английский

Citations

22
A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm DOI Creative Commons
Anshuman Satpathy, Niranjan Nayak,

Naeem Hannon

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101590 - 101590

Published: Nov. 20, 2023

A new deep representation-based Maximum Power Point Tracking (MPPT) controller is proposed in this paper for accurate Control references calculation Photovoltaic (PV) based Micro Grid (MG) operation. The representation obtained by two-step estimation: Data dimension reduction and MPPT Tracker towards optimal computation. considered learning architecture targeted N number (large scale) of PV-based DGs, connected locally the distribution system (DC link extended to AC utility). collected data solar irradiation (in W/m2) PV panel temperature oC) profiles local DGs are subjected dimensions using Extreme Learning Machine (ELM) on Moore-Penrose inverse technique. compressed represented PV-DG further communicated Tertiary side Tracker, where Ridge Regression-based ELM presented estimating (PMPP) Voltage (VMPP) values kth instant. initial randomness present Deep Representation Regression (DR-RRELM) minimized adopting Huber's characteristic distribution-based likelihood estimator. scheme effectively implemented control reference DC-DC DC-AC converters MG. also suitable stability improvement at point common coupling (PCC). Three different case studies such as past verification, analysis under various operating conditions, irradiant change source power variation. efficacy evidenced MATLAB-based simulation. technique provides better tracking ability, faster effective generation. study with validated TMS320C6713 (32-bit) Hardware-in-Loop (HIL) validation.

Language: Английский

Citations

13