Article
Energy & Fuels
Xiang Lei, Yitong Shang, Ziyun Shao, Youwei Jia, Linni Jian
Summary: This paper discusses the importance of electric vehicles in reducing CO2 emissions and proposes an optimal strategy for distribution system operators to plan the charging and discharging of EVs. By flexibly dispatching charging services, both EVs and the grid can benefit from this approach.
Article
Thermodynamics
S. de la Torre, J. A. Aguado, E. Sauma
Summary: The massification of Electric vehicles (EVs) is being globally recognized as a solution to combat climate change and local pollution. EVs can provide valuable services to the power network during their parking time, such as ancillary services in electricity markets through an aggregating agent. This paper proposes an optimization approach for EVs aggregators, taking into account various constraints and aspects that affect EVs profitability, to improve power system operation and provide profits for EV owners.
Article
Energy & Fuels
Yanchong Zheng, Ziyun Shao, Yitong Shang, Linni Jian
Summary: Electric vehicles can act as distributed energy storage devices to provide vehicle-to-grid services, allowing EV users to earn revenue. However, V2G operation can cause extra battery degradation, so it is important to investigate the feasibility of EVs conducting V2G operation under different charging scenarios.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Krzysztof Zagrajek, Jozef Paska, Lukasz Sosnowski, Konrad Gobosz, Konrad Wroblewski
Summary: V2G technology utilizes electric vehicles to balance electricity demand and may require significant changes in Polish energy law. The implementation of this technology involves proposing a V2G Program and establishing a V2G Service to validate its mathematical model.
Article
Chemistry, Physical
G. Matute, J. M. Yusta, J. Beyza, L. C. Correas
Summary: The study introduces a multi-state electrolyzer model that optimizes the dispatch of electrolyzers by considering different operational states, resulting in reduced hydrogen production costs, which will benefit businesses as demand continues to grow.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Information Systems
Catia Silva, Pedro Faria, Ruben Barreto, Zita Vale
Summary: This paper proposes a methodology to deal with the complex management of Local Energy Communities (LEC) with electric vehicles (EVs), and compares two approaches: performance rate and clustering groups. The results show that the clustering method is more effective in achieving the best results.
Article
Thermodynamics
Xiang Lei, Hang Yu, Ziyun Shao, Linni Jian
Summary: This paper proposes a novel management scheme, namely, the distribution system operator (DSO), to play a key role in China's electricity markets. The paper discusses the maximal marginal revenue for DSO in uncertain electricity markets with vehicle-to-grid operation incorporated. It builds a stochastic optimization model considering the spatiotemporal uncertainties and proposes an optimal bidding and coordinating strategy to maximize the DSO's marginal revenue.
Review
Energy & Fuels
Adlan Pradana, Mejbaul Haque, Mithulanathan Nadarajah
Summary: With the rise of electric vehicles, their participation in ancillary services through V2G technology is crucial. This paper provides a comprehensive review of control strategies for electric vehicle ancillary services, discussing their benefits, limitations, and research gaps. The findings will serve as a valuable reference for researchers in V2G controls for EVASs.
Article
Energy & Fuels
Mounir Bouzguenda, Muahmmad Hatatah, Aamir Ali, Ghulam Abbas, Aamir Khan, Ezzeddine Touti, Amr Yousef, Sohrab Mirsaeidi, Ahmed Alshahir
Summary: This study proposes a new dispatching model for electric vehicles (EVs) and solves the problem of charging demand during peak hours using the MACD algorithm. By establishing different tariffs for different areas and adjusting charging load, the study achieves reduced charging costs without compromising EV performance and convenience for users.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Ankit Singhal, Sarmad Hanif, Bishnu Bhattarai, Fernando B. dos Reis, Hayden Reeve, Robert Pratt
Summary: The proliferation of electric vehicles (EVs) and their flexibility in charging times make them valuable in improving grid performance. A transactive control framework, which allows customers to trade-off between savings and amenity, is designed to integrate EVs into the grid while maintaining customer autonomy. The proposed framework successfully reduces peak prices and peak demand while providing individual customers with their preferred trade-off. The study also compares V1G and V2G technologies with respect to battery prices, indicating that V2G may become promising if battery costs decline in the future.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Davide Falabretti, Francesco Gulotta
Summary: This paper proposes a tool to optimally schedule the charging requests of carsharing Electric Vehicles (EVs) in an urban area, allowing them to participate in the Ancillary Service Market. The tool uses a nature-inspired optimization algorithm to determine the initial charging time of each vehicle, and numerical simulations confirm its effectiveness. The participation of the EV fleet in the electricity market leads to economic sustainability for the carsharing service.
Article
Green & Sustainable Science & Technology
Kristian Sevdari, Lisa Calearo, Peter Bach Andersen, Mattia Marinelli
Summary: This paper discusses the role of electric vehicles and their charging infrastructure in transitioning towards a sustainable power system, while also exploring the interconnection between ancillary services and EV flexibility. By reviewing and categorizing ancillary services, it aims to help system operators and flexibility providers better understand and utilize the potential of EV-chargers in the power system.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Himadry Shekhar Das, Md Nurunnabi, Mohamed Salem, Shuhui Li, Mohammad Mominur Rahman
Summary: Electric vehicle grid integration (EVGI) is crucial for transportation electrification, but it may have negative impacts on the distribution grid. With proper control scheme designs and the use of grid-connected inverters, these issues can be mitigated and various grid ancillary services can be provided.
Article
Energy & Fuels
Shubham Bhoir, Priscilla Caliandro, Claudio Brivio
Summary: A battery model is developed based on experiments to estimate degradation, used to evaluate profits of different ancillary services on the electricity market. Providing a combination of frequency containment reserve and peak shaving is shown to be the most profitable option.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Konstantinos D. Afentoulis, Zafeirios N. Bampos, Stylianos I. Vagropoulos, Stratos D. Keranidis, Pantelis N. Biskas
Summary: The large-scale charging of plug-in electric vehicles without control can have negative effects on electricity networks. Smart charging, which flexibly and coordinately manages the charging process, offers a promising solution with benefits for system operators and electric vehicle users. This paper proposes a novel Business Model Framework for Electric Vehicle Aggregators (EVAs) to effectively manage the complex smart charging process. The framework focuses on value proposition, creation and delivery, and value capture, enabling EVAs to unlock the untapped potential of flexible charging in electricity markets.
Article
Construction & Building Technology
Kamalanathan Ganesan, Joao Tome Saraiva, Ricardo J. Bessa
Summary: This article discusses the barriers faced by retailers and the issue of consumption elasticity. They propose a functional model to determine the load adjustment that DR consumers can provide to retailers or utilities, using a Bayesian probabilistic approach to quantify the likelihood of consumer response to different price levels.
ENERGY AND BUILDINGS
(2022)
Review
Engineering, Electrical & Electronic
Carlos Oliveira, Daniel F. Botelho, Tiago Soares, Antonio S. Faria, Bruno H. Dias, Manuel A. Matos, Leonardo W. de Oliveira
Summary: This paper provides an overview of the transition from traditional centralized power systems to decentralized ones and the emergence of peer-to-peer electricity markets. It also explores the inclusion of peer preferences in the electricity trading process through product differentiation. Simulation results show that consumer-centric markets increase renewable energy penetration and affect load flexibility.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Carlos Oliveira, Micael Simoes, Leonardo Bitencourt, Tiago Soares, Manuel A. Matos
Summary: Energy communities aim to empower consumers and maximize the utilization of local renewable energy sources. This work proposes a distributed community-based local energy market to minimize costs and consider technical network constraints. The proposed method is tested on a distribution network and compared to a centralized approach. Integration of optimal power flow increases computation time, but the proposed market structure guarantees P2P exchanges and community benefits.
Article
Energy & Fuels
A. Sergio Faria, Tiago Soares, Tommaso Orlandini, Catarina Oliveira, Tiago Sousa, Pierre Pinson, Manuel Matos
Summary: As prosumers and energy communities gain prominence, energy trading between prosumers in local P2P markets is crucial. This paper presents and compares three coordination methods in order to address voltage and congestion issues. The results show that the second method, using the P2P market with an AC-OPF, is the most effective in fulfilling network constraints and maximizing social welfare.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Carlos Oliveira, Micael Simoes, Tiago Soares, Manuel A. Matos, Leonardo Bitencourt
Summary: This work provides a model for a diverse distributed community-based market with photovoltaic generators and energy storage systems. The model considers network constraints and uses the relaxed branch flow model. It employs the ADMM method to prevent voltage and line capacity issues, improve data privacy, and reduce communication burden. The proposed method is tested on various scenarios and radial distribution networks, showing improved efficiency with the implemented residual balancing technique.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Luis Rodrigues, Diogo Faria, Fabio Coelho, Joao Mello, Joao T. Saraiva, Jose Villar, Ricardo J. Bessa
Summary: The new energy policies of the European Union aim to decarbonize the energy system by promoting the use of variable renewable energy sources. To accommodate the volatility of these sources, there is a growing need for flexibility in the electricity markets, leading to the development of legislation and incentives to engage consumers in providing flexibility services to the grid system.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Article
Energy & Fuels
Sara Capelo, Tiago Soares, Isabel Azevedo, Wellington Fonseca, Manuel A. Matos
Summary: This study aims to assess the effectiveness of existing energy policies and actions in Portugal in improving energy efficiency and reducing CO2 emissions in the building sector. The results show that electrification of heating and cooling, energy efficiency measures, and the proliferation of renewable energy sources are crucial for achieving climate neutrality. The proposed alternative (Alternative 4) offers the best returns on investment, with significant cost savings and emissions reduction compared to the current national roadmap to carbon neutrality (Alternative 2).
Review
Green & Sustainable Science & Technology
C. A. Silva, R. Vilaca, A. Pereira, R. J. Bessa
Summary: The decarbonization of high-performance computing centers is crucial for improving their environmental and financial performance. State-of-the-art supercomputers are growing in computing power and evolving in terms of both energy and information technology infrastructure. Collaboration between policy and energy sectors can generate new revenue streams and facilitate integration of these centers into energy systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Proceedings Paper
Computer Science, Theory & Methods
Benjamin Fritz, Gil Sampaio, Ricardo J. Bessa
Summary: This paper describes the practical application of sensitivity factors extracted from smart meter data to effectively manage the challenges faced by low voltage grids in managing new loads and distributed energy resources. The method is tested through simulations, proving the feasibility of implementing advanced analysis and management tools despite the limitations in grid characteristics.
2023 IEEE BELGRADE POWERTECH
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Louelson Costa, Ana Silva, Ricardo J. Bessa, Rui Esteves Araujo
Summary: This paper aims to develop a new tool for fault detection in photovoltaic power plant inverters. It uses a hybrid dataset and machine learning algorithms for training to achieve accurate classification of different operating conditions of the inverter.
2023 IEEE BELGRADE POWERTECH
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Rui Pinto de Sousa, Carlos Moreira, Leonel Carvalho, Manuel Matos
Summary: This paper presents a methodology for the day-ahead Unit Commitment/ Economic Dispatch (UC/ED) for low-inertia power systems with the support of an Artificial Neural-Network (ANN)-supported Dynamic Security Assessment (DSA) tool. The methodology effectively enables the system to operate within safe frequency margins while minimizing additional costs associated with the operation of Synchronous Condensers (SC).
2023 IEEE BELGRADE POWERTECH
(2023)
Proceedings Paper
Computer Science, Information Systems
Fabio Coelho, Filipe Silva, Carla Goncalves, Ricardo Bessa, Ana Alonso
Summary: This paper presents a data market that aims to trade energy forecasts data using blockchain as a service for system architecture. Settlement of the data, presented as a commodity, is done through blockchain based on the extracted value provided by market stakeholders. The study shows that the data market design is effective and the data market architecture is scalable.
2022 FOURTH INTERNATIONAL CONFERENCE ON BLOCKCHAIN COMPUTING AND APPLICATIONS (BCCA)
(2022)
Article
Computer Science, Information Systems
J. R. Andrade, C. Rocha, R. Silva, J. P. Viana, Ricardo J. Bessa, C. Gouveia, B. Almeida, R. J. Santos, M. Louro, P. M. Santos, A. F. Ribeiro
Summary: This paper proposes a method to convert a large volume of alarm events into data mining terminology, and presents two novel data-driven applications based on this data. The method can help reduce cognitive burden and automatically detect and classify issues during grid outages.
Proceedings Paper
Energy & Fuels
Corinna Mohrlen, Gregor Giebel, Ricardo J. Bessa, Nadine Fleischhut
Summary: The need to consider and explicitly model forecast uncertainty is crucial in scientific and applied fields. While weather forecasts have benefited from ensemble forecasts, the energy industry has been reluctant to adopt these methods for managing uncertain power feed-ins. To address this issue, the IEA Wind Task 36 has initiated an initiative in collaboration with research institutions to investigate barriers and provide training tools, such as a forecast game.
WINDEUROPE ELECTRIC CITY 2021
(2022)
Article
Meteorology & Atmospheric Sciences
Corinna Mohrlen, Ricardo J. Bessa, Nadine Fleischhut
Summary: As the penetration of renewable energy sources and the impact of climate change increase, it is crucial to address the uncertainty in weather and power production forecasts. This study conducted an experiment with participants from the energy industry to investigate the psychological barriers to adopting probabilistic forecasts and to find ways to overcome them.
METEOROLOGICAL APPLICATIONS
(2022)
