Addressing Power Quality Challenges in Hybrid Renewable Energy Systems through STATCOM Devices and Advanced Gray Wolf Optimization Technique

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104405 - 104405

Опубликована: Март 1, 2025

Язык: Английский

---

Satin bowerbird algorithm with an adaptive constriction factor for enhanced photovoltaic integration in distribution feeders

Results in Engineering, Год журнала: 2024, Номер 23, С. 102502 - 102502

Опубликована: Июль 2, 2024

—This paper introduces an enhanced Satin bowerbird optimizer (SBO), specifically tailored for the integration of photovoltaic distributed generation (DG) units into radial distribution systems. The upgraded SBO version involves two pivotal adjustments. Firstly, positional updating mechanism newly generated bower is modified to enable exploration around iteration's elite bower. Secondly, adaptive constriction factor introduced, progressively decreasing during iterations concentrate search in promising areas. These modifications significantly amplify capacity each new algorithm. proposed aims at minimizing costs related CO2 emissions from grid and those linked with units, addition energy losses. variability DG represented using Beta Probability Density Function (PDF) portray distinct solar irradiation conditions experienced daily. undergoes testing on a practical Nigerian system, Ajinde 62-bus network, standard IEEE 69 nodes system. Simulation results underscore effectiveness version, revealing substantial reductions losses emissions. Specifically, achieves noteworthy 31 % reduction combined yearly compared initial case. Additionally, 69-bus it attains considerable 35 %. Furthermore, simulation illustrate competitive performance suggested when Differential Evolution (DE) Particle Swarm Optimization (PSO) algorithms, as well SBO.

Язык: Английский

---

Advancements in data-driven voltage control in active distribution networks: A Comprehensive review

Results in Engineering, Год журнала: 2024, Номер 23, С. 102741 - 102741

Опубликована: Авг. 19, 2024

Distribution systems are integrating a growing number of distributed energy resources and converter-interfaced generators to form active distribution networks (ADNs). Numerous studies have been undertaken mitigate various challenges in ADNs. However, voltage deviation reactive power control still requires more attention from researchers system engineers. The Volt/VAr (VVC) concept has developed improve the quality, minimize losses, maintain profile deployed utility-owned legacy mechanisms such as on-load tap changers, capacitor banks, automatic regulators operate discrete, slow timescales unidirectionally, rendering them insufficient for optimal regulation Owing increasing use smart meters, inverters (SIs), sensors, data analytics tools, improved communication networks, become an important resource. Data-driven approaches, particularly reinforcement learning (RL)-based, therefore gained recent years effectively solving VVC decision-making problem. This comprehensive review presents detailed analysis advanced approaches used address It includes general overview problem formulation, frameworks, basic notations, well comparisons existing recently proposed methods. study focuses on data-driven especially RL-based algorithms. Some open research experienced application these algorithms safety, data, scalability, problems, interpretability cybersecurity threats presented alongside future perspectives Internet Things (IoT), Transfer Learning (TL), hybrid human-in-the-loop AI approaches.

Язык: Английский

---

A New Smart Charging Electric Vehicle and Optimal DG Placement in Active Distribution Networks with Optimal Operation of Batteries

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104521 - 104521

Опубликована: Март 1, 2025

Язык: Английский

---

Performance Assessment of Modern Distribution Networks Conjoined with Electric Vehicles in Normal and Faulty Conditions

Scientific African, Год журнала: 2025, Номер unknown, С. e02630 - e02630

Опубликована: Март 1, 2025

Язык: Английский

---

Allocation and Control of Multi-devices Voltage Regulation in Distribution Systems via Rough Set Theory and Grasshopper Algorithm: A Practical Study

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103860 - 103860

Опубликована: Дек. 1, 2024

Язык: Английский

---

WITHDRAWN: Optimal Planning of Smart Parking Lot based Combined Hydrogen, Heat and Power (SPL-CHHP) to improve Eco-Techno-Emission Constraints

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

14 January, 2025. Research Square has withdrawn this preprint after confirming substantial overlap with a manuscript previously submitted by another author.

Язык: Английский

---

Coordinated hybrid load re-phasing: Introducing an innovative approach to enhance the integration of renewable energy sources in LV distribution grids while addressing grid unbalances

Electric Power Systems Research, Год журнала: 2025, Номер 242, С. 111422 - 111422

Опубликована: Янв. 20, 2025

Язык: Английский

---

An energy management system for PV-STATCOMs in power distribution networks via a complex-domain SDP relaxation

Energy Systems, Год журнала: 2025, Номер unknown

Опубликована: Фев. 18, 2025

Язык: Английский

---

Hybrid Design of Optimal Shunt Capacitor Allocation and Reconfiguration of Radial Distribution Systems Considering Techno-Economic Benefits

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104385 - 104385

Опубликована: Фев. 1, 2025

Язык: Английский

---