Integration of electric vehicles in smart grids for optimization and support to distributed generation

Salvatti, Gabriel A.; Carati, Emerson Giovani; Costa, Jean Patric da; Cardoso, Rafael; Carlos, M O Stein

doi:10.1109/induscon.2018.8627290

Cited by 8 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their optimization approach combined storage and photovoltaic systems with Vehicle-to-Campus (V2C) and Bike-to-Campus (B2C) concepts to maintain high-quality service for EV and EB users while minimizing billing costs. Furthermore, in [122], the authors presented a management strategy for ISTMGs allowing the interaction of EV with photovoltaic generation (PV) and consumer loads using a configuration that employs a shared AC bus. Their proposed management strategy demonstrated that economic and quality supply benefits can be achieved in ISTMGs.…”

Section: Electrical Vehiclesmentioning

confidence: 99%

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Machele,

Onumanyi,

Abu-Mahfouz

et al. 2024

JSAN

View full text Add to dashboard Cite

The deployment of isolated microgrids has witnessed exponential growth globally, especially in the light of prevailing challenges faced by many larger power grids. However, these isolated microgrids remain separate entities, thus limiting their potential to significantly impact and improve the stability, efficiency, and reliability of the broader electrical power system. Thus, to address this gap, the concept of interconnected smart transactive microgrids (ISTMGs) has arisen, facilitating the interconnection of these isolated microgrids, each with its unique attributes aimed at enhancing the performance of the broader power grid system. Furthermore, ISTMGs are expected to create more robust and resilient energy networks that enable innovative and efficient mechanisms for energy trading and sharing between individual microgrids and the centralized power grid. This paradigm shift has sparked a surge in research aimed at developing effective ISTMG networks and mechanisms. Thus, in this paper, we present a review of the current state-of-the-art in ISTMGs with a focus on energy trading, energy management systems (EMS), and optimization techniques for effective energy management in ISTMGs. We discuss various types of trading, architectures, platforms, and stakeholders involved in ISTMGs. We proceed to elucidate the suitable applications of EMS within such ISTMG frameworks, emphasizing its utility in various domains. This includes an examination of optimization tools and methodologies for deploying EMS in ISTMGs. Subsequently, we conduct an analysis of current techniques and their constraints, and delineate prospects for future research to advance the establishment and utilization of ISTMGs.

show abstract

Section: Electrical Vehiclesmentioning

confidence: 99%

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Machele,

Onumanyi,

Abu-Mahfouz

et al. 2024

JSAN

View full text Add to dashboard Cite

show abstract

“…However, a clever charging approach might reduce this effect. In addition to that, managing smart microgrids can be used for solving integration problems when it comes to unpredictable loads as Salvatti et al [19] proposed a microgrid management technique that uses a common AC bus to enable interaction between EVs and microgrid by controlling factors like economic and supply quality. Though the optimization methods can be in different techniques, some researchers prefer linear or non-linear optimization techniques.…”

Section: Introductionmentioning

confidence: 99%

Designing and optimizing a hybrid microgrid supplying various electric vehicle charging modes

Mohamud,

Çetinbaş,

Demirtaş

et al. 2023

Pamukkale J Eng Sci

View full text Add to dashboard Cite

A microgrid system has been designed and optimized via hybrid optimization of multiple energy resources (HOMER) software for the electricity needs of Eskisehir Osmangazi University (ESOGU). The microgrid consists of photovoltaic (PV) and wind turbine (WT) units with utility grid connection and battery energy storage system (BESS).The microgrid also supplies energy to electric vehicle (EV) charging units. The combination of EVs and renewable microgrids make a major contribution to the clean energy transition of the global energy system. It also minimizes the cost of energy (COE) and EV charging. Before analyzing the EV loads, a proper hybrid combination of the microgrid was optimized. The comparison and analysis of the proposed systems were performed according to their reliability, economic and environmental impact. The financial analysis of the winning microgrid system was carried out and its performance assessed throughout the duration of the project. Deferrable and on-demand EV charging modes were proposed in this study. To see the impact of EVs on the microgrid, various scenarios were created and applied to the design. The aim was to find a suitable charging method that uses mostly the renewable energy sources to minimize the cost of electricity while protecting the environment. This study demonstrates the importance of smart charging and how it manages charging sessions by leveraging renewable resources and charging only when electricity is at the lowest cost. The result also shows that the cost of the electricity bill of the investigated area is reduced by 36% by using the hybrid microgrid. Eskişehir Osmangazi Üniversitesi'nin (ESOGU) elektrik ihtiyacı için çoklu enerji kaynaklarının hibrit optimizasyonu (HOMER) yazılımı ile bir mikro şebeke sistemi tasarlanmış ve optimize edilmiştir. Mikro şebeke, elektrik şebekesi bağlantılı ve batarya enerji depolama sistemine (BESS) sahip fotovoltaik (PV) ve rüzgâr türbini (WT) ünitelerinden oluşmaktadır. Mikro şebeke ayrıca elektrikli araç (EV) şarj ünitelerine enerji sağlamaktadır. EV'ler ve yenilenebilir mikro şebekelerin kombinasyonu, küresel enerji sisteminin temiz enerji geçişine büyük katkı sağlamaktadır. Ayrıca enerji maliyeti (COE) ve EV şarjını da en aza indirmektedir. EV yüklerini analiz etmeden önce, mikroşebekenin uygun bir hibrit kombinasyonu optimize edilmiştir. Önerilen sistemlerin güvenilirliği, ekonomik ve çevresel etkilerine göre karşılaştırılmış ve analizleri yapılmıştır. Kazanan mikro şebeke sisteminin finansal analizi yapılmış ve proje süresince performansı değerlendirilmiştir. Bu çalışmada ertelenebilir ve isteğe bağlı EV şarj modları önerilmiştir. EV'nın mikro şebeke üzerindeki etkisini görmek için çeşitli senaryolar oluşturulmuş ve tasarıma uygulanmıştır. Amaç, çevreyi korurken elektrik maliyetini en aza indirmek için çoğunlukla yenilenebilir enerji kaynaklarını kullanan uygun bir şarj yöntemi bulmaktır. Bu çalışma, akıllı şarjın önemini ve yenilenebilir kaynaklardan yararlanarak ve yalnızca elektrik en düşük maliyette olduğunda şarj ederek şarj ...

show abstract

“…In [11], the authors analyzed several strategies and proposed a solution considering each autonomous consumer connected to a microgrid, which, in turn, was integrated into an alternating bus current that shared a connection with other local microgrids. Both microgeneration and electric vehicles were connected to the local microgrid.…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

et al. 2023

View full text Add to dashboard Cite

This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters’ operation, battery charging strategy, and initial budgets. The algorithm is designed to trade off the batteries’ state of charge and the profits gained from selling energy to the grid. To achieve this balance, a fuzzy controller is employed and acts based on forecasts of the photovoltaic generation and the cost of electricity, within prediction windows of 120 min, adapting the batteries’ rate of charging or discharging. Simulation results show that for different curves and different initial budgets, the target state of charge is reached at the end of the time horizon. By evaluating the proposed scheme under different scenarios, the algorithm’s performance is proven to be suitable for future practical deployment.

show abstract

Integration of electric vehicles in smart grids for optimization and support to distributed generation

Cited by 8 publications

References 16 publications

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Designing and optimizing a hybrid microgrid supplying various electric vehicle charging modes

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

Contact Info

Product

Resources

About