Hosting capacity of distribution networks for controlled and uncontrolled residential EV charging with static and dynamic thermal ratings of network components DOI Creative Commons

As’ad Zakaria,

Chengyan Duan,

Sasa Djokic

и другие.

IET Generation Transmission & Distribution, Год журнала: 2023, Номер 18(6), С. 1283 - 1301

Опубликована: Ноя. 16, 2023

Abstract The ongoing electrification of road transportation sector, which is expected to continue strongly increase over the next years, will result in connection a significant number electric vehicle (EV) chargers LV and MV distribution networks, particularly residential applications with on‐board (“slow”) EV chargers. In order evaluate loading limits existing networks for maximum that can be safely connected (commonly denoted as network “hosting capacity”, HC), this paper introduces general approach determine one commonly used design parameter (after‐diversity demand, ADMD) new (maximum daily energy MDED), are both obtained from load profiles per‐hour demands uncontrolled charging. presented uses actual charging data UK inputs Monte Carlo simulations generate arbitrary numbers EVs, enabling identify related ADMD, MDED demand values, well their seasonal variations. assessed hourly then combined available before EVs (“pre‐EV demands”), where coincidental noncoincidental evaluated against static thermal rating (STR) dynamic (DTR) components (transformers overhead lines), taking into account relevant weather/ambient conditions. This HC Finally, evaluating resulting values STR DTR allows select particular scheduling method controlled charging, gives absolute considered network, is, fully illustrated on example IEEE 33‐bus test (modelled using typical components), pre‐EV taken recordings at substation, ambient Met Office weather station. Obtained results allow range lower upper limits, correlated allocations firm non‐firm HC, respectively.

Язык: Английский

Improving golden jackel optimization algorithm: An application of chemical data classification DOI
Aiedh Mrisi Alharthi, Dler Hussein Kadir, Abdo Mohammed Al‐Fakih

и другие.

Chemometrics and Intelligent Laboratory Systems, Год журнала: 2024, Номер 250, С. 105149 - 105149

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

9

Energy-saving access point configurations in WLANs: a swarm intelligent approach DOI
Long Chen, Fangyi Xu, Kezhong Jin

и другие.

The Journal of Supercomputing, Год журнала: 2023, Номер 79(17), С. 19332 - 19364

Опубликована: Май 27, 2023

Язык: Английский

Процитировано

17

Integrating the strategic response of parking lots in active distribution networks: An equilibrium approach DOI Creative Commons
Marcos Tostado‐Véliz, Rohit Bhakar, Mohammad Sadegh Javadi

и другие.

IET Renewable Power Generation, Год журнала: 2025, Номер 19(1)

Опубликована: Янв. 1, 2025

Abstract The increasing penetration of electric vehicles will be accompanied for a wide deployment charging infrastructures. Large demand brings formidable challenges to existing power networks, driving them near their operational limits. In this regard, it becomes pivotal developing novel energy management strategies active distribution networks that take into account the strategic behaviour parking lots. This paper focuses on issue, tool encompassing distributed generators and new proposal casts as tri‐level game equilibrium framework where profit maximization lots is implicitly considered, thus ensuring network‐level decisions do not detract owners. original model reduced tractable single‐level mixed‐integer‐linear programming by combining equivalent primal‐dual first‐order optimality conditions network models. way, can solved using off‐the‐shelf solvers, with superiority against other approaches like metaheuristics. developed validated in well‐known 33‐, 85‐bus radial systems. Results show that, even under unfavourable limited generation, maximized, preserving interests Moreover, further through number simulations, showing its effectiveness. Finally, demonstrated scales well size system, easing implementation real‐life applications.

Язык: Английский

Процитировано

0

Hybrid optimization for energy management in smart grids using Golden Jackal algorithm and deep convolutional neural networks DOI

S. Chithra,

C. Arunachalaperumal,

R. Rajagopal

и другие.

Electrical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 2, 2025

Язык: Английский

Процитировано

0

A comprehensive survey of golden jacal optimization and its applications DOI
Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani

и другие.

Computer Science Review, Год журнала: 2025, Номер 56, С. 100733 - 100733

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0

Leveraging modified golden jackal optimization for enhanced demand-side management in microgrids with different tariffs DOI

Zeinab M. Hassan,

Magdi M. El‐Saadawi, Ahmed Y. Hatata

и другие.

Energy Reports, Год журнала: 2025, Номер 13, С. 3672 - 3685

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0

MPPT of PEM Fuel Cell Using PI-PD Controller Based on Golden Jackal Optimization Algorithm DOI Creative Commons
Ahmed M. Agwa, Tarek I. Alanazi, Habib Kraiem

и другие.

Biomimetics, Год журнала: 2023, Номер 8(5), С. 426 - 426

Опубликована: Сен. 14, 2023

Subversive environmental impacts and limited amounts of conventional forms energy necessitate the utilization renewable energies (REs). Unfortunately, REs such as solar wind are intermittent, so they should be stored in other to used during their absence. One finest storage techniques for is based on hydrogen generation via an electrolyzer abundance, then electricity by fuel cell (FC) With reference advantages proton exchange membrane (PEM-FC), this preferred over kinds FCs. The output power PEM-FC not constant, since it depends pressure, temperature, electric load. Therefore, a maximum point tracking (MPPT) system utilized with PEM-FC. previously have some disadvantages, slowness response largeness each oscillation, overshoot undershoot, article addresses innovative MPPT using consecutive controller made up proportional-integral (PI) proportional-derivative (PD) controllers whose gains tuned golden jackal optimization algorithm (GJOA). Simulation results when applying GJOA-PI-PD reveal its approaches according quickness response, smallness oscillations, tininess undershoot. resulting smaller than that perturb observe, GJOA-PID, GJOA-FOPID 98.26%, 86.30%, 89.07%, respectively. Additionally, fitness function aforementioned 93.95%, 87.17%, 87.97%,

Язык: Английский

Процитировано

10

Enhanced golden jackal optimizer-based shape optimization of complex CSGC-Ball surfaces DOI
Gang Hu, Liuxin Chen, Guo Wei

и другие.

Artificial Intelligence Review, Год журнала: 2023, Номер 56(S2), С. 2407 - 2475

Опубликована: Авг. 24, 2023

Язык: Английский

Процитировано

9

An improved transient search optimization algorithm for building energy optimization and hybrid energy sizing applications DOI Creative Commons
Thira Jearsiripongkul,

Mohammad Ali Karbasforoushha,

Mohammad Khajehzadeh

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 31, 2024

In this paper, a new algorithm named the improved transient search optimization (ITSOA) is utilized to solve classical test functions, optimize consumption of building energy, and hybrid energy system production. The conventional TSOA draws inspiration from fleeting behavior electrical circuits with storage components. Rosenbrock's direct rotation technique used improve traditional performance against exploration exploitation unbalance. First, ITSOA investigated in solving 23 benchmark outcomes have shown superior capability recommended comparison TSOA, DMO, SHO, GA, MRFO, PSO methods. Also, proficiency verified (BEO) problem for minimizing usage two simple detailed buildings. results showed that optimized solutions single multi-objective optimizations compared obtained lower value cost function. superiority has been confirmed BEO previous Moreover, able determine ultimate solution among Pareto front set based on fuzzy decision-making approach utilization decisions.

Язык: Английский

Процитировано

3

Grouping Maintenance Policy for Improving Reliability of Wind Turbine Systems Considering Variable Cost DOI Creative Commons
Hongyan Dui, Yulu Zhang, Yunan Zhang

и другие.

Mathematics, Год журнала: 2023, Номер 11(8), С. 1954 - 1954

Опубликована: Апрель 20, 2023

Wind farms have gained wide attention due to unlimited resources and clean energy. Considering that wind turbine systems are always in harsh conditions, subsystem failures could reduce the reliability of systems. At present, maintenance behaviors for various (e.g., corrective maintenance, preventive maintenance) when is reduced below threshold. cost downtime, it impossible repair each component a timely manner. One key problems dividing components into groups improve efficiency. In this paper, grouping policy considering variable (GMP-VC) proposed direct-drive permanent magnet (DPM) Grouping modes fully consider stated transition probability A model formulated select as members group based on RIM-VC index. An instance given verify GMP-VC method. The result indicates may save costs over baseline plans.

Язык: Английский

Процитировано

7