A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks

Mastoi, Muhammad Shahid; Zhuang, Shengxian; Munir, Hafiz Mudassir; Haris, Malik; Hassan, Mannan; Alqarni, Mohammed; Alamri, Basem

doi:10.1016/j.egyr.2022.12.139

Cited by 86 publications

(24 citation statements)

References 188 publications

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“…The participation of electric vehicles in the frequency adjustment of the electric power grid is often related to feasibility, economic and management strategies. Although the concepts are different, their main purpose is to provide theoretical support for electric vehicles for high-frequency services [6,5]. The Particle Swarm Optimization Algorithm is an adaptive technology based on swarm intelligence inspired by artificial life research.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-source and Multi-level Coordination of Energy Internet under V2G based on Particle Swarm Optimization Algorithm

Xu,

Chang,

Sun

2024

SCPE

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In order to effectively improve the excessive load of microgrid during peak hours of urban electricity consumption, a multi-source and multi-level coordination method of energy Internet under V2G based on particle swarm optimization algorithm was proposed. First, a mathematical model for V2G energy integration in microgrids was developed and a scheduling concept based on a particle-by-particle optimization algorithm was used. Second, an improved PSO algorithm is proposed and experimentally validated, and the experimental results are compared with previous particle swarm optimization algorithms. Experiments have shown that as the number of iterations increases, the value of the objective function decreases and the optimal solution can be obtained until the maximum number of iterations is reached. The iteration speed and power processing cost of the improved PSO algorithm are better than before.The original load curve is the load trough period from 23:00 to 6:00, and two load peaks occur from 12:00 to 14:00 and 19:00 to 22:00. The V2G technology basically realizes the coordinated control of microgrid electric energy and achieves the effect of peaking and valley filling. The improved algorithm has obvious improvement compared with the original power grid state. Conclusion: The application of EV V2G technology can smooth the daily load curve of power grid and coordinate the electric energy of micro-grid to achieve ``peak cutting and valley filling'', and the effect of this algorithm is more outstanding than the previous algorithm. Finally, the future development direction and suggestions of V2G technology are put forward.The power grid with V2G discharge depth limit has the ability to basically reduce and eliminate the daily peak load, so the technology has broad research space and development prospects.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-source and Multi-level Coordination of Energy Internet under V2G based on Particle Swarm Optimization Algorithm

Xu,

Chang,

Sun

2024

SCPE

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“…In V2G technology, EV onboard ESSs can serve as a useful and flexible resource, facilitating higher penetration of RES within the MG. EVs can be integrated with RES within an MG to buffer and store energy to better utilize intermittent energy production from wind and PV plants [35]. The everchanging weather conditions produce strong power imbalances.…”

Section: ) Res Support and Balancementioning

confidence: 99%

Enhancing Microgrid Operation Through Electric Vehicle Integration: A Survey

Sora,

Serban,

Petreus

2024

IEEE Access

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The integration of renewable energy sources (RES) and electric vehicles (EVs) into microgrids (MGs) has significant potential for enhancing energy resilience, addressing environmental concerns, and promoting decentralized energy systems as a global shift towards sustainable energy solutions. Therefore, this survey paper provides a comprehensive discussion on improving MG operation through EV integration. This study evaluates the status of EV integration into MGs, focusing on technological advancements, and emerging trends, while pinpointing key technical challenges and opportunities. Furthermore, this paper examines the pivotal role of EVs in participating in vehicle-to-grid (V2G) services, providing ancillary support to improve MG performance. The importance of a reliable communication infrastructure for information exchange between EV, EV charging stations (EVCSs), and MG has been emphasized for the effective implementation of V2G services. This discussion extends to the contributions of EVs to primary, secondary, and tertiary MG controls. The paper also analyzes the integration of EVs into AC and DC MGs and further proposes configurations for both MG cases. Finally, the paper concludes by providing recommendations for future research to unlock the full potential of EV contributions to MG performance, thereby contributing to the ongoing advancement of sustainable and resilient energy systems. The key findings of this work include solutions for MG voltage and frequency regulation implemented through EV bidirectional converter power flow control, EV charger configurations for integration into AC and DC, EV contributions in improving the MG's operational resilience and adaptability, and the noteworthy challenges arising from V2G implementation in such systems.INDEX TERMS electric vehicle charging, microgrids, renewable energy sources, vehicle-to-grid

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“…A V2G trading based on a hierarchical three-layer blockchain (data, operation, and transaction) is proposed in [90] using cellular automata technique to optimize the benefit of three stakeholders: EVs, aggregators, and grid, and minimizing grid load variation. Another blockchain based on controlled charging and discharging is presented in [91] from the aggregator perspective. In this research, several challenges, including low power quality, power loss and overloading, are discussed.…”

Section: Grid-connected Ev Schedulingmentioning

confidence: 99%

A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

2023

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The transition from internal combustion engines to electric vehicles (EVs) has received significant attention and investment due to its potential in reducing greenhouse gas emissions. The integration of EVs into electric and transport systems presents both benefits and challenges in energy management. The scheduling of EV charging can alleviate congestion in the electric system and reduce waiting times for EV owners. The use of renewable energy sources (RESs) for EV charging and supporting the grid can help mitigate the uncertainty of these energy resources. Vehicle-to-grid (V2G) technology can be used as an alternative approach in the event of sudden high consumption of the grid. Additionally, cost minimization through large-scale coordinated planning is crucial for the future of e-mobility systems. This review paper focuses on the latest trends considering the various approaches and features in coordinated EV scheduling, as well as the influence of different stakeholders, categorized as single- and multiple-charging stations (CS) and aggregator levels. By implementing coordinated EV scheduling, various methods are presented to better manage the needs and satisfaction of EV owners as well as the profit of CS and the market trends of e-mobility systems. In this regard, EV charging strategies considering V2G, uncertainty evaluation of parameters, coordinated charging management, congestion of CSs and electrical lines, route mapping, and technical and economic aspects of the system hierarchy, including consumers, CSs and aggregators, are reviewed and discussed.

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A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks

Cited by 86 publications

References 188 publications

Multi-source and Multi-level Coordination of Energy Internet under V2G based on Particle Swarm Optimization Algorithm

Multi-source and Multi-level Coordination of Energy Internet under V2G based on Particle Swarm Optimization Algorithm

Enhancing Microgrid Operation Through Electric Vehicle Integration: A Survey

A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

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