Optimal economical sizing of a PV-battery grid-connected system for fast charging station of electric vehicles using modified snake optimization algorithm

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101965 - 101965

Published: March 1, 2024

This paper presents a methodology for the optimal sizing of proposed photovoltaic (PV)-battery grid-connected system fast charging station electric vehicles (FCSEVs) in Cairo, Egypt. The key objectives formulated optimization problem are to minimize total cost and guarantee validity energy balance principle within considered system. also develops novel management strategy, which is designed based on two widely adopted pricing strategies, optimally managing power flow with purpose reaching optimum sizes components. In addition, suggests modification Snake (SO) algorithm, used solve using MATLAB software. Moreover, comparison conducted among modified (MSO) algorithm four other common meta-heuristic algorithms validate viability suggested MSO achieving desired eventual aims process. Furthermore, techno-economic study carried out assess economic each strategies over project lifetime. yielded results indicated that developed strategy capable effectively. Also, they demonstrated can yield best solutions compared algorithms.

Language: Английский

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Optimal sizing of off-grid microgrid Building-Integrated-Photovoltaic system with battery for a Net Zero Energy Residential Building in different climates of Morocco

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102288 - 102288

Published: May 21, 2024

An optimal sizing of an off-grid microgrid system composed photovoltaic (PV)/building integrated (BIPV)/battery energy storage installation is undergone for Net Zero Energy Residential Building blocks across six different climates Morocco in order to reach the objective providing all load requirements at minimum. The Particle Swarm Optimization algorithm used find system, by considering hourly spatiotemporal variations both solar availability and demand variation, with lowest Total Annualized Cost as function capacities BIPV battery decision variables. methodology adopted focuses on main fulfillment through direct PV power supply, backed technology, continually guarantee self-sufficiency. A key metric, cover factor, introduced quantify ratio which satisfied systems. findings show that can help improve factor 0.68-2.58%. Moreover, integrating Battery leads a reduction Levelized approximately 8.7-20.72 %, opposed utilizing only battery. Depending local climate, levelized cost ranges from 0.366 $/kWh Ouarzazate city up 0.664 $/kWh.in Ifrane city. Lastly, this holistic approach aims transform building its traditional role consumer carbon-free electricity generator.

Language: Английский

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Techno-economic analysis, optimization, and dispatch strategy development for renewable energy systems equipped with Internet of Things technology

Energy, Journal Year: 2024, Volume and Issue: 296, P. 131176 - 131176

Published: April 4, 2024

Language: Английский

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An intelligent incentive-based demand response program for exhaustive environment constrained techno-economic analysis of microgrid system

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 6, 2025

Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus recent work on microgrid management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV battery life assessment. Pollutant reduction, however, rarely highlighted a primary goal. An incentive-based demand response (IBDR) introduced proposed close this gap promote curtailment during peak hours. IBDR policy rewards participant customers incentives for which turn lowers emissions generation costs. Furthermore, trade-off approach ensures both environmental economic sustainability by striking balance between cost reduction emission reduction. Considering fact view that 30–40% willing participate program, six different scenarios have been analysed, each involves various levels grid participation approaches pricing electricity market. These also include implementation programmes. Differential evolution algorithm was tool study. results achieved all demonstrate suitability effectiveness implementing suggested strategy terms savings. According numerical reported, generating decreased 10–13% inclusion IBDR. Additionally, 6–8% 4–5% improvement realised positive impact policy. weighted dispatch offered balanced solution considered minimum models system.

Language: Английский

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Two-stage multi-strategy decision-making framework for capacity configuration optimization of grid-connected PV/battery/hydrogen integrated energy system

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 97, P. 112862 - 112862

Published: July 18, 2024

Language: Английский

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Long-term optimal planning of distributed generations and battery energy storage systems towards high integration of green energy considering uncertainty and demand response program

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 100, P. 113562 - 113562

Published: Sept. 6, 2024

Language: Английский

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Optimizing renewable energy systems for 100 % clean energy target: A comparative study of solar, hydro, pumped hydro, and battery storage technologies

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 104, P. 114441 - 114441

Published: Nov. 15, 2024

Language: Английский

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A reinforcement learning approach using Markov decision processes for battery energy storage control within a smart contract framework

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 86, P. 111342 - 111342

Published: March 19, 2024

Language: Английский

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Performance analysis of different control models for smart demand–supply energy management system

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 90, P. 111809 - 111809

Published: May 11, 2024

Several features of innovative grid technologies can be deployed to improve the overall performance power system environment. This seen from generation consumption energy. The two-way communication smart metering introduces novel functionalities energy management system. paper presents a practical implementation using intelligent It consists implementing nanogrid that optimally coordinates solar panel, battery storage and utility supply end user. developed model is validated with an optimal value state charge distributed maximise panel while minimising received grid. A demand response scheme employed formulate index three control models: adaptive open-loop control, closed-loop predictive schemes. formulation each approach function flow different resources depending on consumption. models have given insights into nanogrid, which may used advantage owner or Through strategies, it observed ensured, real-time monitoring entire guaranteed. facilitate minimisation utility, resulting in savings between 23.7% 39.240% total Besides, design by electrical form real-world application residential environments.

Language: Английский

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Adaptive and coordinated load frequency control for isolated microgrids considering battery state of charge dynamics

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 112, P. 115467 - 115467

Published: Jan. 24, 2025

Language: Английский

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