2022 International Conference on Smart Energy Systems and Technologies (SEST), Год журнала: 2024, Номер unknown, С. 1 - 6
Опубликована: Сен. 10, 2024
Язык: Английский
Journal of Energy Storage, Год журнала: 2024, Номер 92, С. 112097 - 112097
Опубликована: Май 28, 2024
Язык: Английский
Процитировано
4
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 22, 2025
The exponential deployment of electric vehicles (EVs) in the residential sectors recent years allows better energy utilization decentralized and centralized levels distribution systems due to their bidirectional operation storage capabilities. However, execute these, it is necessary adopt demand side management (RDSM) schedule effectively fetch economical efficient consumption grid stability reliability, particularly during peak load conditions. paper aims formulate a robust RDSM technique provide an scheduling considering various influential factors critical roles EVs RDSM. A Binary Whale Optimization Algorithm (BWOA) approach proposed as algorithm for EV's impact on scheduling. single-objective formulation presented with detailed modelling economic primary objective all possible equality inequality system operational constraints. Secondly, studied from perspectives result analysis, load, devices, different modes other vehicles, components, grids. In addition, role mutual influence integration renewable sources (RES) devices (ESDs) are extensively analyzed (REM) terms economic, environmental, robust, reliable points view. priority based consumer choice also incorporated formulation. Extensive simulation done show effect REM, results impressive device, mutually supportive device RES, ESD, grid.
Язык: Английский
Процитировано
0
Egyptian Informatics Journal, Год журнала: 2025, Номер 29, С. 100611 - 100611
Опубликована: Янв. 11, 2025
Язык: Английский
Процитировано
0
Computers, Год журнала: 2025, Номер 14(4), С. 149 - 149
Опубликована: Апрель 16, 2025
In smart homes, heavy reliance on appliance automation has increased, along with the energy demand in developing urban areas, making efficient management an important factor. To address scheduling of appliances under Demand-Side Management, this article explores use heuristic-based optimization techniques (HOTs) homes (SHs) equipped renewable and sustainable resources (RSERs) storage systems (ESSs). The optimal model for minimization peak-to-average ratio (PAR), considering user comfort constraints, is validated by using different techniques, such as Genetic Algorithm (GA), Binary Particle Swarm Optimization (BPSO), Wind-Driven (WDO), Bacterial Foraging (BFO) Modified (GmPSO) algorithm, to minimize electricity costs, PAR, carbon emissions delay discomfort. This research investigates results three real-world scenarios. scenarios demonstrate benefits gradually assembling RSERs ESSs integrating them into SHs employing HOTs. simulation show substantial outcomes, scenario Condition 1, GmPSO decreased from 300 kg 69.23 kg, reducing 76.9%; bill prices were also cut unplanned value 400.00 cents 150 cents, a 62.5% reduction. PAR was unscheduled 4.5 2.2 which reduced 51.1%. 2 showed that 0.5 (unscheduled) 0.2, 60% reduction; costs 500.00 200.00 250.00 reduction GmPSO. 3, where batteries integrated, algorithm emission 158.3 208.3 24%. cost 500 GmPSO, decreasing overall 40%. achieved 57.1% 2.8 1.2.
Язык: Английский
Процитировано
0
Energies, Год журнала: 2024, Номер 17(18), С. 4670 - 4670
Опубликована: Сен. 19, 2024
The integration of renewable energy sources (RESs) is rapidly increasing within systems worldwide. However, this shift introduces intermittency and uncertainty on the supply side. To hedge against RES intermittency, demand-side flexibility a practical solution. Therefore, further studies are required to unleash in power systems. This relevant across various sectors systems, including residential, industrial, commercial, agricultural sectors. paper reviews key aspects residential sector. achieve objective, general introduction demand four provided. As contribution paper, comparison with previous studies, household appliances classified based their controllability. potential demands, heat pumps, district heating, electric vehicles, battery then reviewed. Another exploration scheduling under uncertainty, examining three approaches: stochastic programming, robust optimization, information-gap decision theory. Additionally, into short-term electricity markets high-RES penetration discussed. Finally, objective functions simulation software used study
Язык: Английский
Процитировано
1
2022 International Conference on Smart Energy Systems and Technologies (SEST), Год журнала: 2024, Номер unknown, С. 1 - 6
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
0