Renewable Energy Focus最新文献

{"title":"Hourly energy demand impacts of battery electric vehicle adoption in Italy: A grid simulation and policy analysis","authors":"Hamid Safarzadeh,&nbsp;Maryam Ebrahimzadeh Sarvestani,&nbsp;Mahdi Enayati,&nbsp;Francesco Di Maria","doi":"10.1016/j.ref.2025.100761","DOIUrl":"10.1016/j.ref.2025.100761","url":null,"abstract":"<div><div>The growing adoption of Battery Electric Vehicles (BEVs) poses significant challenges to electricity grids, especially in countries aiming for rapid decarbonization. This study evaluates the hourly impact of BEV integration on Italy’s energy system using a Python-based simulation model. Two scenarios are analyzed for 2024: (1) 3.5 million BEVs and (2) 7 million BEVs. The model incorporates hourly charging profiles for household and highway fast-charging, Italy’s renewable energy mix (solar, wind, hydro, bioenergy), and a 5 GWh battery energy storage system. Results show that Scenario 1 increases daily electricity demand by 19 % (to 1.1 TWh), with peak loads of 47–49 GW, requiring 152 GWh of thermal generation and emitting 76,000 tons of CO₂ daily. Scenario 2 raises demand by 40 % (to 1.25 TWh), with peak loads of 50–53 GW, 224 GWh of thermal generation, and 112,000 tons of CO₂ emissions. Existing storage mitigates 20 % of peak load but is insufficient for Scenario 2’s 15 GW shortfall. Key demand spikes occur at 01:00 and 11:00–18:00, coinciding with home and highway charging. Policy strategies such as time-of-use tariffs, expanding storage to 15 GWh, and doubling solar capacity could reduce emissions by up to 35 % and supply 80 % of BEV charging needs during daylight hours. This hourly-resolution analysis offers critical insights for grid planning and supports the EU’s Fit for 55 targets.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100761"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding malaysian homeowners’ intention to adopt photovoltaic systems for EV charging: An integrated theory of planned behaviour and diffusion of innovation approach","authors":"Raymond Chew Yuet Mun ,&nbsp;Cindy Chuah ,&nbsp;Stephen T. Homer","doi":"10.1016/j.ref.2025.100767","DOIUrl":"10.1016/j.ref.2025.100767","url":null,"abstract":"<div><div>This study investigates the behavioural and innovation-related factors influencing Malaysian homeowners’ intention to adopt photovoltaic (PV) systems for electric vehicle (EV) charging. Despite Malaysia’s push toward sustainability, current policies treat PV and EV technologies in isolation, missing opportunities for integrated, low-carbon solutions. By combining the Theory of Planned Behaviour and Diffusion of Innovation theory, the study examines how attitudes, subjective norms, and perceived behavioural control impact intention, and how these relationships are mediated by relative advantage and compatibility. Data from 197 EV-owning homeowners were analysed using Partial Least Squares Structural Equation Modelling. Results show that attitude and perceived behavioural control significantly influence intention, mediated by relative advantage, while subjective norms had no significant effect. Compatibility influenced intention directly but not as a mediator. The findings contribute to understanding sustainable technology co-adoption in emerging markets, offering practical and policy insights for promoting PV adoption to support EV charging in Malaysia.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100767"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DER flexibility procurement in a centralized ancillary services market: the significance of positive TSO-DSO interaction","authors":"Rohit Vijay,&nbsp;Parul Mathuria","doi":"10.1016/j.ref.2025.100764","DOIUrl":"10.1016/j.ref.2025.100764","url":null,"abstract":"<div><div>The integration of high levels of renewables necessitates the procurement of distributed energy resources (DERs) for flexibility-based services, such as frequency, reactive power provisions, and congestion management, to ensure secure operation at both transmission and distribution levels. However, procuring flexibility-based services from DERs presents challenges due to the interdependencies in service activations between the TSO and DSO. One potential solution is to acquire DER flexibility through a centralized market jointly managed by the TSO and DSO. This presents two key challenges: i) the allocation of DER services cost between TSO and DSO based on their specific objectives; and ii) the quantification of the cross-impact cost. To address these challenges, this manuscript proposes cost allocation by considering the TSO’s objective of global balancing and the DSO’s responsibilities for congestion management and maintaining reactive power provisions. The obtained results show that the cost distribution shifts due to the cross-impact of one system operator’s actions on the other, highlighting the need for coordination, though the total cost of flexibility procurement remains largely unchanged outside peak times. Further, the reactive power provision and distribution system congestion lead to increased cost share for the DSO, despite stable overall procurement costs. This is driven by the DER’s active power adjustments to maintain the Q/P ratio, leading to subsequent opportunity cost for the DSO.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100764"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Renewable energy research in ASEAN countries: bibliometric analysis of past, present and future trends","authors":"Djamal Hissein Didane ,&nbsp;Bukhari Manshoor ,&nbsp;Mohammad Sukri Mustapa ,&nbsp;Abdulrahman Aljabri ,&nbsp;Abba Lawan Bukar ,&nbsp;Mahmoud Kassas","doi":"10.1016/j.ref.2025.100776","DOIUrl":"10.1016/j.ref.2025.100776","url":null,"abstract":"<div><div>Renewable energy plays a crucial role in achieving sustainable development goal 7 (SDG-7), which aims to ensure access to affordable, reliable, sustainable and modern energy for all. This study presents a bibliometric analysis of renewable energy research in ASEAN countries from 2000 to 2024, highlighting key trends, influential authors, leading research institutions and dominant sources of publication using Scopus database. VOSviewer and Bibliometrix are used to perform the analysis including the evolution of research topics, collaboration networks, the impact of scholarly contributions. The findings indicate a significant rise in publications in the region with Malaysia and Indonesia leading in total research output. However, the per capita productivity metric highlights Singapore and Brunei as the most research-productive nations in the region. Topics such as solar energy, biomass and wind energy emerge as the most studied topics reflecting regional priorities and resource availability. Moreover, the keyword analysis reveals a shift toward emerging technologies such as microgrids, energy storage and smart grids, signalling future research directions. The study underscores the growing emphasis on sustainability, energy efficiency and policy frameworks necessary for advancing renewable energy adoption in ASEAN. In terms of publications source, there was a diverse range of journals and conference proceedings that serve as primary dissemination platforms for ASEAN-based renewable energy researchers. By mapping past and present research landscapes, this study provides insights for policymakers, researchers and industry stakeholders to foster collaboration and drive the transition of the region towards a sustainable energy future in alignment with SDG-7.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100776"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145424515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grid code requirements for the integration of renewable energy sources in Indonesia—a review","authors":"Majid Ali ,&nbsp;Yajuan Guan ,&nbsp;Juan C. Vasquez ,&nbsp;Josep M. Guerrero ,&nbsp;Fransisco Danang Wijaya ,&nbsp;Adam Priyo Perdana","doi":"10.1016/j.ref.2025.100782","DOIUrl":"10.1016/j.ref.2025.100782","url":null,"abstract":"<div><div>The large-scale integration of renewable energy sources into electric grids proposes significant challenges for any power grid management and planning. To address these challenges, system operators have developed GCs so that the grid operates safely, reliably, and economically. These codes establish technical, operational, and procedural standards for the connection and operation of renewable energy systems to the utility grid. This article investigates the current state of GCs in Indonesia as a case study, highlighting the growing need for updated and robust regulations to allocate renewable energy integration. The article focuses on the integration requirements for microgrid technologies, which are vital for decentralized energy systems and the proliferation of renewable resources, especially in remote and off-grid areas, especially Indonesia, and targets Indonesia to adopt renewable energy. Insights from Denmark’s advanced energy framework are utilized to propose recommendations for enhancing Indonesia’s GCs. A comparative analysis between the standard of IEEE 1547-2003 and IEEE 1547-2018 to compliance in terms of voltage regulation, fault ride-through capabilities, and Distributed Energy Resources (DERs) interoperability is carried out.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100782"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145473519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization configuration of energy storage system considering deep peak regulation and source-load-storage interaction","authors":"Wenzhuang Liu ,&nbsp;Rui Yan ,&nbsp;Liangxu Liu ,&nbsp;Di Zhang","doi":"10.1016/j.ref.2025.100780","DOIUrl":"10.1016/j.ref.2025.100780","url":null,"abstract":"<div><div>To address the pressure on peak shaving of the power system resulting from the widespread integration of renewable energy to generate electricity with the “dual-carbon” objectives, an optimized configuration regulation method for energy storage systems (ESS) is proposed in this paper. This method considers deep peak shaving and the interaction between sources, loads, and storage. It integrates an operational model that utilizes deep peaking of thermal power units (TPUs) alongside coordinated scheduling of demand-side response (DSR). To account for the uncertainty of renewable energy and the dynamic changes in load demand, the source-load-storage interaction is developed to enhance the responsiveness of ESSs to fluctuations in renewable energy supply and variations in load demand. Simulation results based on four scheduling scenarios demonstrate the effectiveness of the proposed method. Compared with conventional strategies, it reduces total operating cost by 11.35%, unit operating cost by 98.89%, and renewable energy input cost by 69.08%. Simulation results validate the effectiveness of the proposed method in reducing operation costs and increasing the utilization rate of renewable energy. Additionally, it also significantly enhances the flexibility and economic efficiency of the power system while effectively smoothing load fluctuations.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100780"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145473522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increasing grid access capacity for renewable integration through a grid-forming E-STATCOM under Spanish regulation","authors":"Carolina M. Martín,&nbsp;Santiago Arnaltes,&nbsp;Francisco Arredondo,&nbsp;Jaime Alonso-Martínez,&nbsp;José Luis Rodríguez-Amenedo","doi":"10.1016/j.ref.2025.100786","DOIUrl":"10.1016/j.ref.2025.100786","url":null,"abstract":"<div><div>The increasing penetration of non-synchronous renewable generation poses significant challenges for grid stability and access capacity, particularly under regulatory frameworks with strict technical requirements. In Spain, rotating synchronous condensers (RSCs) have recently been proposed to strengthen the grid and facilitate renewable integration; however, their deployment is currently restricted by the Transmission System Operator (TSO) due to concerns such as exceeding the permissible short-circuit current levels and the risk of subsynchronous torsional interactions (SSTI). This paper proposes an energy storage static synchronous compensator (E-STATCOM) model with grid forming (GFM) control as an effective alternative to RSCs for increasing grid access capacity for renewable integration. A control strategy based on the emulation of the synchronous machine swing equation, combined with a power system stabilizer (PSS), is proposed to ensure system stability. The PSS addresses the oscillatory response that arises when emulating the behavior of an RSC in the converter. The concept is validated through simulation studies in PSCAD, using the equivalent electrical network of the Peninsular Electricity System and the Interconnected European System, as specified by current Spanish regulations. Results demonstrate the ability of the proposed E-STATCOM to replicate the key functionalities of RSCs, including inertial response and dynamic voltage support in weak grids, while also meeting fault ride-through (FRT) requirements and ensuring power oscillation damping. It is shown that the proposed solution based on an E-STATCOM with GFM control can be valid for increasing renewable hosting capacity while mitigating the technical and economic drawbacks associated with RSCs.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100786"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Privacy-Preserving and Stochastic Energy Management of Multi-Microgrid Systems with Bidirectional Electric Vehicle Integration","authors":"Anas Quteishat ,&nbsp;Mahmoud A. Younis ,&nbsp;Seyed Reza Seyednouri ,&nbsp;Amin Safari","doi":"10.1016/j.ref.2025.100784","DOIUrl":"10.1016/j.ref.2025.100784","url":null,"abstract":"<div><div>This paper investigates distributed stochastic optimal energy management of an active distribution network with multi-microgrids in which both the distribution system operator (DSO) and microgrids (MGs) strive to minimize operational costs. The primary obstacles include the preservation of privacy and the management of uncertainties in a decentralized environment. Renewable energy sources, a demand response program, and a parking lot for electric vehicles (EVs) are all features that are associated with MGs. EVs can offer flexibility by adjusting the charging and discharging power according to the needs and advantages of the MGs, using the grid-to-vehicle and vehicle-to-grid mechanism. Scenarios were generated using probability density function which were reduced by mixed integer linear programming-based scenario reduction approach to overcome the computation complexity. The alternating direction method of multipliers is utilized to manage the DSO and MG optimization problems in a distributed manner that ensures privacy and scalability. The model is tested on a modified IEEE 33-bus system with four microgrids. Based on the findings, it is evident that the bidirectional charging of EVs plays a crucial role in enabling MGs to shift their energy consumption from peak hours to off-peak hours and the proposed approach improves flexibility and enables more realistic scheduling under uncertainty.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100784"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145473523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bi-Level collaborative optimization strategy for power quality in distribution networks based on fuzzy triple black hole multi-objective optimization algorithm","authors":"Xiaohui Yang,&nbsp;Jiajing Xu,&nbsp;Chilv Wu,&nbsp;Lingjun Guo,&nbsp;Zhicong Wang,&nbsp;Rui Zhong,&nbsp;Zekai Tu,&nbsp;Peng Yang","doi":"10.1016/j.ref.2025.100760","DOIUrl":"10.1016/j.ref.2025.100760","url":null,"abstract":"<div><div>With the large-scale integration of renewable energy units and electric vehicles (EVs) into distribution networks, enhancing the power quality of these networks has emerged as a critical issue requiring immediate attention. Meanwhile, existing solution methods are inadequate for meeting the multi-objective optimization needs of distribution networks. This study establishes a bi-level collaborative optimization strategy for improving power quality in distribution networks. Specifically, the upper planning tier aims to minimize comprehensive costs through multi-component collaborative planning. The lower operational tier, based on the comprehensive performance evaluation decision model (CPEDM), conducts coordinated scheduling of multiple components by considering both economic benefits and power quality indicators. Furthermore, a fuzzy triple black hole multi-objective optimization algorithm (MOFTBH), which boasts high solution quality, uncertainty handling capabilities, and high adaptability, is developed and employed to solve the bi-level collaborative model. The study focuses on the IEEE-33 system as the research subject, leveraging the MOFTBH for analysis. Simulation results indicate that the optimization strategy presented in this study improves economic benefits and power quality by 45.43% and 19.90%, respectively, compared to the case without any optimization. Specifically, indices such as voltage deviation, voltage fluctuation, and harmonic distortion have improved by 39.01% , 127.45% and 113.14% , MOFTBH demonstrates a 30% faster Pareto front convergence rate compared to benchmark algorithms, with a 25% improvement in solution set uniformity. Under equivalent iteration counts, the objective function values show an optimization range of 18.7%–23.4%. This planning model aims to provide intelligent and green strategies for future smart grid construction and facilitate the commercial expansion of distribution network operators.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100760"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time web inference of a BiLSTM-informer hybrid model for enhanced photovoltaic power output forecasting","authors":"Kehinde Ridwan Kamil,&nbsp;Umar F. Khan,&nbsp;Ray E. Sheriff,&nbsp;Hafeez Ullah Amin","doi":"10.1016/j.ref.2025.100763","DOIUrl":"10.1016/j.ref.2025.100763","url":null,"abstract":"<div><div>To ensure an efficient Photovoltaic (PV) renewable energy grid, it is essential to address the uncertainty inherent in power systems. An efficient energy management system must be capable of prioritising energy distribution based on an applicable and effective real-time forecasting of the generation output of the PV system. This study proposes a novel BiLSTM-Informer hybrid model that outperforms benchmarked machine and deep learning approaches in forecasting multi-step PV output by addressing their inability to capture non-linear temporal dependencies and lack of dynamic features weighting. A 39.2 kWp PV system serves as a case study, incorporating location-specific weather parameters. The proposed model integrates Fourier transformation, cyclic encoding, and autoregressive feature optimization to enhance pattern recognition and short-term variability. It achieved superior accuracy, with a mean absolute error (MAE) of 1.22 kWh, a root means square error (RMSE) of 2.21 kWh, and a coefficient of determination (R²) of 0.952. This reflects a 20.1 % increase in online forecasting accuracy. Unlike previous studies, this work integrates real-time web inferencing using a Streamlit interface on Orender, thereby validating the model’s robustness under live deployment. The model demonstrated forecasting accuracy ranging from 89 % to 97.3 % across multiple forecasting (1-hour to monthly) horizons with reduced computational overhead. These results position the BiLSTM-Informer as a novel benchmark for real-time PV forecasting and intelligent power grid management. The data and pre-trained models are available at the dedicated GitHub repository: <span><span>https://github.com/kamilkenny/EDA</span><svg><path></path></svg></span> and the Inferenced Model link is: <span><span>https://kamil-deployment-of-edgehill-durning.onrender.com/</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"56 ","pages":"Article 100763"},"PeriodicalIF":5.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}