{"title":"An efficient coordinated energy trading mechanism for economic sustainability of EVCSs and EVs in competitive electricity market","authors":"Naresh Boda, Prashant Kumar Tiwari","doi":"10.1016/j.segan.2025.101712","DOIUrl":"10.1016/j.segan.2025.101712","url":null,"abstract":"<div><div>The integration of electric vehicle charging stations (EVCS) into the power grid significantly impacts the electricity market due to the uncoordinated charging behavior of electric vehicles (EVs). This causes changes in load demand, which is responsible for grid imbalances, price changes, higher grid maintenance costs, and a higher chance of power outages, especially in low-voltage grids. This work focuses on enhancing the profit for EVCS while concurrently minimizing the charging cost for EVs owners by using coordinated charging of EVs at EVCS. The better coordinated charging of EVs increases the profit of each EVCS and lowers the cost of charging for EVs owners. This paper proposes a Monte Carlo simulation-based bi-level coordinated transactive energy trading mechanism. In the first part, the Monte Carlo simulation coordinates the EVs charging process based on their respective arrival time at the EVCS, where as in the second part, a cooperative game theory-based energy trading mechanism has been modeled to trade energy in the transactive energy market through the Distribution System Operators(DSO) with different EVCSs. The proposed coordinated charging approach enhances the profitability of all EVCSs as compared to the other existing method. The proposed technique has been implemented and validated on a modified IEEE-33 bus system.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101712"},"PeriodicalIF":4.8,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of electric vehicles, heat pumps, and solar panels on low-voltage feeders: Evidence from smart meter profiles","authors":"Thijs Becker , Raf Smet , Bruno Macharis , Koen Vanthournout","doi":"10.1016/j.segan.2025.101705","DOIUrl":"10.1016/j.segan.2025.101705","url":null,"abstract":"<div><div>Electric Vehicles (EVs), Heat Pumps (HPs) and solar panels are Low-Carbon Technologies (LCTs) that are being connected to the Low-Voltage Grid (LVG) at a rapid pace. One of the main hurdles to understand their impact on the LVG is the lack of recent, large electricity consumption datasets, measured in real-world conditions. We investigated the contribution of LCTs to the size and timing of peaks on LV feeders by using a large dataset of 42,089 smart meter profiles of residential LVG customers. These profiles were measured in 2022 by Fluvius, the Distribution System Operator (DSO) of Flanders, Belgium. The dataset contains customers that proactively requested higher-resolution smart metering data, and hence is biased towards energy-interested people. LV feeders of different sizes were statistically modeled with a profile sampling approach. For feeders with 40 connections, we found a contribution to the feeder peak of 1.2 kW for a HP, 1.4 kW for an EV and 2.0 kW for an EV charging faster than 6.5 kW. A visual analysis of the feeder-level loads shows that the classical duck curve is replaced by a night-camel curve for feeders with only HPs and a night-dromedary curve for feeders with only EVs charging faster than 6.5 kW. Consumption patterns will continue to change as the energy transition is carried out, because of <em>e.g</em>. dynamic electricity tariffs or increased battery capacities. Our introduced methods are simple to implement, making it a useful tool for DSOs that have access to smart meter data to monitor changing consumption patterns.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101705"},"PeriodicalIF":4.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The potential of V2G considering EV charging behaviors, battery lifespan, and distribution networks","authors":"Lluc Canals Casals , Jing Zhu , Luis F. Ochoa","doi":"10.1016/j.segan.2025.101706","DOIUrl":"10.1016/j.segan.2025.101706","url":null,"abstract":"<div><div>As electric mobility spreads globally, new threats, concerns, opportunities, and benefits arise both on the electric vehicle and the network side caused by the uncertainties associated with the use and charging of electric vehicles. Taking advantage of the “Electric Nation” public dataset that contains more than 150,000 charging events, this study discloses the most relevant aspects to determine the trends in the use of electric vehicles. This information serves as a starting point to estimate the expected battery aging and the life expectancy of electric vehicles. The first outcome is that, when only using the vehicle for mobility purposes, the functional life of the battery is largely underutilized. Considering that the electric vehicle is presented as an environmental solution, replacing it after a few years while still having a functional battery is contradictory. To avoid this, more intensive use of the battery is proposed by incorporating vehicle-to-grid services, thus accelerating the battery aging to match the vehicle's retirement with the functional life of its battery.</div></div><div><h3>Results</h3><div>show that considering 5, 15, 30, and 60-minute network services, vehicle-to-grid can be activated up to five times, thus maximizing the use and benefits of having an electric vehicle for both the user and the electricity network interests.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101706"},"PeriodicalIF":4.8,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Sadeghian-Jahromi , Mahmud Fotuhi-Firuzabad , Sajjad Fattaheian-Dehkordi , Fei Wang , Matti Lehtonen
{"title":"Simultaneous planning of distribution automation and battery energy storage systems for improving resilience of distribution network","authors":"Mohammad Sadeghian-Jahromi , Mahmud Fotuhi-Firuzabad , Sajjad Fattaheian-Dehkordi , Fei Wang , Matti Lehtonen","doi":"10.1016/j.segan.2025.101709","DOIUrl":"10.1016/j.segan.2025.101709","url":null,"abstract":"<div><div>Recent widespread blackouts around the world have highlighted the fact that power grids must not only ensure reliability against high-probability, low-impact events (HPLI), but also withstand against low-probability, high-impact events (HILP) which could endanger the reliable operation of the system. Therefore, with the aim of improving the resilience of distribution networks, this paper proposes a model for the simultaneous planning of distribution automation and energy storage systems to address the operational challenges in case of hurricane occurrences in the system. For this, first, a hurricane model is presented to predict the impact of future hurricanes on the network. Respectively, the planning optimization is formulated as a mixed integer linear programming (MILP) to optimally determine the location and number of the remote-control switches (RCSs) as well as the capacity, number and location of the battery energy storage systems (BESSs). This study enables the co-optimization of distribution automation and energy storages investments to effectively improve the resilience of the system. Finally, this model is implemented on the Roy Billinton Test System (RBTS) to investigate the effectiveness of the proposed method in improving the resilience of system in an economic manner.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101709"},"PeriodicalIF":4.8,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haider Ali , Reza Razi , Bruno Francois , Luce Brotcorne
{"title":"Sustainable suburban mobility: Shared autonomous electric vehicles day-ahead transit and charging optimization using TOU rates and renewable energy","authors":"Haider Ali , Reza Razi , Bruno Francois , Luce Brotcorne","doi":"10.1016/j.segan.2025.101703","DOIUrl":"10.1016/j.segan.2025.101703","url":null,"abstract":"<div><div>Shared Autonomous Electric Vehicles (SAEVs) offer a transformative solution to bridge the mobility gap in suburban regions where public transportation means are scarce. Integration of SAEVs into the current electrical grid system poses operational challenges due to the anticipated surge in electricity demand for their charging. This paper proposes a strategy based on the Vehicle Scheduling Problem (VSP) for SAEVs to fulfill passenger travel demand and provide optimal charge scheduling using location based charging prices derived from Time of Use (TOU) rates. A significant portion of this study also investigates the fiscal benefits of utilization of local renewable energy for charging SAEVs. A multi-objective function to minimize charging costs, mobility costs and waiting time for passengers is formulated using mixed-integer linear programming (MILP). The proposed strategy is simulated and analyzed on a coupled traffic and low voltage suburban power grid of the French region considering coordinated charging strategy in the presence and absence of renewable energy. The comparison of results shows that the algorithm optimally schedules charging to maximize the utilization of renewable energy while serving passenger requests.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101703"},"PeriodicalIF":4.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sizing of Fast Frequency Response Reserves for improving frequency security in low-inertia power systems","authors":"Savvas Panagi , Petros Aristidou","doi":"10.1016/j.segan.2025.101699","DOIUrl":"10.1016/j.segan.2025.101699","url":null,"abstract":"<div><div>The increasing penetration of Renewable Energy Sources (RES) in electricity grids has led to the gradual decommissioning of conventional generators and, thus, to a decrease in the available inertia and other frequency support reserves. Consequently, the frequency security of power systems, in particular islanded low-inertia ones, is compromised, leading to faster and more extreme frequency deviations following disturbances. There is an urgent need to incorporate faster frequency reserves that can stabilize the system and enhance its resilience and reliability. This paper first investigates the impact of various frequency support mechanisms on the system frequency security in low-inertia grids. Then, we propose a novel, data-driven, gradient-descent-based method, that combines Dynamic Security Assessment (DSA) with linear predictions to optimize Fast Frequency Response (FFR) sizing for low-inertia grids. The performance of the proposed approach is evaluated using the dynamic model of Cyprus across 500 selected historical operating scenarios. The results demonstrate fast convergence, achieving the target frequency Nadir with minimal computational effort.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101699"},"PeriodicalIF":4.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143784049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A tri-stage stochastic resilience-oriented expansion planning of a smart distribution network under cyber-physical attacks considering IRP mitigation strategy","authors":"Saeid Qaeini, Amir Abdollahi, Masoud Rashidinejad","doi":"10.1016/j.segan.2025.101701","DOIUrl":"10.1016/j.segan.2025.101701","url":null,"abstract":"<div><div>Cyber-physical attacks (CPAs) pose a major challenge to the stability and cybersecurity of power systems. To tackle this issue this paper addresses a tri-stage stochastic framework for cyber-physical attack resilient expansion planning for a smart distribution network (SDNEP<sup>CPAR</sup>) that supplies active microgrids (AMGs). The main contribution of this paper is to provide an integrated framework for expansion planning based on improving the resiliency of the electrical network against CPAs. Therefore, this paper investigates the impact of a false data injection attack on the AMGs’ electricity transactions, separately and as part of a broader group of attacks including load redistribution and physical attacks that can affect the operability of the distribution network. This framework employs an integrated resource planning mitigation strategy, including demand response programs, network reconfiguration, and rescheduling of resources to reduce the impact of attacks. In the initial stage, the network structure, the locations of the devices, their capacities and installation time, and the optimal transactions of the AMGs are determined, considering uncertain parameter scenarios. In the subsequent stage, the optimal CPA vector and the resiliency index are determined to maximize the operational cost while adhering to attack constraints. In the final stage, the optimal integrated resource planning mitigation strategy is determined to increase the power system’s resiliency. Numerical simulations are performed using the 33-bus and 123-bus IEEE test systems. Studies reveal the effectiveness of the proposed framework for the expansion planning of the smart distribution network and its resiliency enhancement in the presence of CPAs.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101701"},"PeriodicalIF":4.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of the influence of climate change on power grid transmission capacity","authors":"Montaña-Salas Sergio, Michiorri Andrea","doi":"10.1016/j.segan.2025.101695","DOIUrl":"10.1016/j.segan.2025.101695","url":null,"abstract":"<div><div>In order to propose effective solutions to mitigate the effects of climate change on the electrical power system, it is essential to have a comprehensive understanding and quantification of the relevant issues. This article explores the impact of climate on transmission network capacity, employing established thermal models and a regional expansion plan, fed by historical and climatic projections on a 0.25° grid resolution over the European continent. The results indicate that, under the high greenhouse gas emissions scenario (RCP 8.5), the area studied will experience average reductions of 1.53%, 2.1%, and 0.2% capacity by 2070, for overhead lines, power transformers, and underground cables, respectively. We propose a quasi-dynamic thermal rating method to estimate maximum capacity. This results in a capacity improvement of up to 22% for power transformers in winter and up to 17% for overhead lines during nighttime hours. This solution represents a viable alternative for electricity operators seeking to solve the dilemma of temperature-driven capacity reduction in the context of challenging network reinforcements.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101695"},"PeriodicalIF":4.8,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ghada Abdulnasser , Essam E.M. Mohamed , Mostafa F. Shaaban , Abdelfatah Ali
{"title":"A multi-objective strategic planning of smart energy hubs and hydrogen refueling stations toward net-zero emissions","authors":"Ghada Abdulnasser , Essam E.M. Mohamed , Mostafa F. Shaaban , Abdelfatah Ali","doi":"10.1016/j.segan.2025.101690","DOIUrl":"10.1016/j.segan.2025.101690","url":null,"abstract":"<div><div>Hydrogen-based generation and storage technologies have been increasingly emerging as an appealing candidate for decarbonizing different sectors, including microgrids and transportation. Practically, energy hubs (EH) and Hydrogen refueling stations (HRS) could provide an ideal environment for integrating such technologies. However, the management process involves several conflicting objectives that must be met to a satisfactory extent. In this regard, this paper proposes a stochastic bi-level tri-objective optimization framework for the planning and operation of EHs and on-site green/blue HRSs. The multiple objectives involve total cost (i.e., capital, operation and maintenance, Hydrogen, and emissions), load profile deviation resulting from engaging the demand response program (DRP), and the dissatisfaction of fuel cell electric vehicles (FCVs) owners. The proposed model forms a bi-level optimization strategy. The upper-level optimization (i.e., planning level) optimizes the sizes and locations of renewable energy sources (RESs) along with the capacities, rates, and locations of the other resources (i.e., photovoltaic, wind turbine, Hydrogen storage system, thermal storage system) integrated into both EHs and HRSs incorporated into the IEEE-69 system. On the other hand, the lower level (i.e., operation level) precisely optimizes the charging and discharging profiles of the different resources incorporated in EHs and HRSs along with FCVs. The Pareto optimal solution is employed to find the best-compromised solution among the conflicting tri-objective solutions. The simulation results demonstrate that the green-controlled approach has validated its superiority for net-zero emissions transition with a 10.74 % reduction in emissions costs at almost the same total cost compared to the other approaches (i.e., blue-uncontrolled, blue-controlled, green-uncontrolled).</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101690"},"PeriodicalIF":4.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Symbiotic fitness assessment for the \"Resource-Project-Demand\" chain of integrated energy system in industrial park","authors":"Zhenyu Zhao, Kun Yang","doi":"10.1016/j.segan.2025.101702","DOIUrl":"10.1016/j.segan.2025.101702","url":null,"abstract":"<div><div>The emergence of Integrated Energy Systems (IES) offers a promising solution for low-carbon transformation and enhancing energy efficiency in industrial park energy systems. Grounded in symbiosis theory, this study evaluates the symbiotic fitness status of three functional components (\"resource-project-demand\" chain) within IES in industrial parks (IES-IP). We establish a symbiotic fitness evaluation framework centered on key symbiotic parameters and develop a corresponding model to analyze five case studies. Comparative analysis of cumulative absolute relative deviations reveals that the weighting method incorporating moment estimation theory demonstrates superior performance among combined weighting approaches. The most influential criteria are found to be renewable energy resource potential (resource side), effective clean energy utilization rate (project side), and industrial-commercial electricity price peak-valley differentials (demand side). All five cases exhibit symbiotic fitness degrees surpassing the baseline threshold (point symbiosis, extremely unfit), though remaining below the optimal level (integrated symbiosis, perfectly fit). The obstacle degree model combined with symbiotic fitness coefficient analysis provides actionable insights for system optimization.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"42 ","pages":"Article 101702"},"PeriodicalIF":4.8,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}