Sustainable Energy Grids & Networks最新文献

{"title":"Power system dynamic analysis in future energy scenarios with high penetration of renewable energy sources — case study: Sicilian electrical grid","authors":"Rossano Musca ,&nbsp;Eleonora Riva Sanseverino ,&nbsp;Gaetano Zizzo ,&nbsp;Antony Vasile ,&nbsp;Adriano Iaria ,&nbsp;Angelo L’Abbate ,&nbsp;Lorenzo Vitulano","doi":"10.1016/j.segan.2024.101616","DOIUrl":"10.1016/j.segan.2024.101616","url":null,"abstract":"<div><div>In the near future, Sicily will undergo an unprecedented penetration of renewable sources in its electricity generation mix. In response to these developments, several grid enhancement initiatives have been planned, including HVDC infrastructure and interconnections with foreign systems. This paper presents the results of dynamic studies on 2030 energy scenarios developed by the Italian institute Ricerca Sistema Energetico (RSE). These studies consider severe contingencies and evaluate various combinations of regulating resources, both traditional and innovative, including Grid Forming control. The results indicate that relying solely on traditional regulation during contingencies leads to instability, emphasizing the urgent need to involve all available resources in the power system’s regulation mechanisms. Among the most interesting findings is the case of the Grid Forming control applied to the Tyrrhenian Link: even in the absence of regulation from the renewable sources present on the island, this approach successfully keeps the frequency drift within the permissible 1.5 Hz range. This demonstrates the significant strategic value of the infrastructure when deployed to provide dynamic support to the power system.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101616"},"PeriodicalIF":4.8,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177815","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":"Enhancing voltage optimization in distribution networks through flexible operation of EV parking lots","authors":"Michele De Santis ,&nbsp;Tohid Harighi ,&nbsp;Anna Rita Di Fazio ,&nbsp;Alberto Borghetti ,&nbsp;Mario Russo","doi":"10.1016/j.segan.2024.101601","DOIUrl":"10.1016/j.segan.2024.101601","url":null,"abstract":"<div><div>This study focuses on the use of consumption flexibility provided by a parking lot (PL) equipped with charging stations for electric vehicles to improve the voltage control in distribution networks. A methodology is presented in which PL offers both upward and downward flexibility of power consumption, provided that energy recovery is guaranteed in subsequent time intervals. To define the flexibility offered by the PL, the proposed approach uses a stochastic optimization model that computes the day-ahead absorption profiles and the maximum allowable flexibility for each 15-minute interval, expressed in terms of the power adjustment capability of the PL in response to the distribution system operator (DSO) request. The DSO then optimizes the voltage profile of the distribution network using the power flexibility offered by the PLs, as well as by other distributed energy resources (DERs). A multiperiod horizon is used in the voltage optimization problem to account for the effects of energy recovery in subsequent intervals. The results are presented for simulations of 24-hour operation of the IEEE 123-node test feeder with four flexible PLs and 15 DERs, whose reactive powers can be varied. The results for two days show an improvement of approximately 70% in terms of voltage profiles in comparison with the case without any voltage optimization, with 30% of the specific contribution of PLs compared to only DERs optimization. The full recovery in terms of the energy provided by each PL is verified, and a cost analysis from the DSO perspective is presented.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101601"},"PeriodicalIF":4.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178600","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":"Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool","authors":"Beneharo Reveron Baecker ,&nbsp;Soner Candas ,&nbsp;Deniz Tepe ,&nbsp;Anurag Mohapatra","doi":"10.1016/j.segan.2024.101617","DOIUrl":"10.1016/j.segan.2024.101617","url":null,"abstract":"<div><div>The ongoing energy transition introduces challenges in designing energy systems, particularly at the low-voltage level, where additional loads like electric vehicle charging points and heat pumps are predominantly connected. Obtaining accurate grid data for modeling and analysis is hindered by availability and confidentiality concerns, especially for low-voltage distribution grids. Unlike high voltage grids, low-voltage grids lack standardized handling due to their large size and heterogeneity. This research addresses an essential gap in the availability of grid data, offering a methodological base to generate synthetic low-voltage grids based on geospatial data. This includes the consideration of multiple feeders per transformer, greenfield and brownfield transformer positioning, and variable dimensioning of equipment components. Based on data clustering methods and an algorithmic graph-based approach, the tool provides a scalable solution that is applicable to large areas such as cities, states, or even countries with hundreds of thousands of grids. The tool is designed for Germany but can be adapted to other countries with similar low voltage grid structures, provided the necessary geospatial data are available. The derived representative synthetic grid topologies support the development of more resilient and efficient future energy systems by enabling research on specific issues like grid planning and reinforcement while considering regional constraints, such as grid congestion or voltage violations. This supports a comprehensive understanding of low-voltage energy systems in the context of the energy transition.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101617"},"PeriodicalIF":4.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177816","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":"Bi-level programming model of electric vehicle charging station based on orderly charging scheduling","authors":"Jiyong Li,&nbsp;Zeyi Hua,&nbsp;Chengye Liu","doi":"10.1016/j.segan.2025.101619","DOIUrl":"10.1016/j.segan.2025.101619","url":null,"abstract":"<div><div>The escalating global energy crisis and severe environmental challenges have led to increased attention on energy-saving, clean, and zero-emission electric vehicles (EVs) from countries worldwide. Effective planning of electric vehicle charging stations (EVCSs) can enhance user satisfaction with charging services and be integrated with an orderly charging strategy. This integration improves the spatial-temporal distribution of charging loads through vehicle-to-grid interaction, thereby reducing the peak-to-valley load difference and enhancing the operational efficiency of public EVCSs. This paper presents a bi-level programming model. The upper model focuses on optimizing the combination of slow and fast charging stations to achieve the best economic return. The lower model predicts and schedules the charging loads of EV users in an orderly manner to minimize user charging costs and the peak-to-valley difference in charging loads. The proposed model is applied to a case study in a region of Beijing, with planning results compared and analyzed. The results indicate that the proposed bi-level planning model for EVCSs demonstrates advantages in enhancing overall economic benefits and reducing peak charging loads when compared to scenarios with incomplete considerations. Specifically, total investment is decreased by 1.621 million yuan, user charging costs are reduced by 46 %, global economic benefits increase by 2.7933 million yuan, the peak value of charging load is reduced by 22.19 %, and the peak-to-valley difference of load throughout the day is reduced by 25.08 %. This study provides objective decision-making recommendations for optimal location and sizing setting of EVCSs, thereby contributing to the sustainable development of the electric vehicle industry.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101619"},"PeriodicalIF":4.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177814","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":"Radial partitioning with spectral penalty parameter selection in distributed optimization for power systems","authors":"Mehdi Karimi","doi":"10.1016/j.segan.2024.101613","DOIUrl":"10.1016/j.segan.2024.101613","url":null,"abstract":"<div><div>This paper introduces a novel concept of intelligent partitioning for group-based distributed optimization (DO) algorithms applied to optimal power flow (OPF) problems. Radial partitioning of the graph of a network is introduced as a systematic way to split a large-scale problem into more tractable sub-problems, which can potentially be solved efficiently with methods such as convex relaxations. Spectral parameter selection is introduced for group-based DO as a crucial hyper-parameter selection step in DO. A software package DiCARP is created, which is implemented in Python using the Pyomo optimization package. Through several numerical examples, we compare the proposed group-based algorithm to component-based approaches, evaluate our radial partitioning method against other partitioning strategies, and assess adaptive parameter selection in comparison to non-adaptive methods. The results highlight the critical role of effective partitioning and parameter selection in solving large-scale network optimization problems.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101613"},"PeriodicalIF":4.8,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177813","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":"Multi-timescale management models for distributed energy resources and a two-stage incentive design for demand-side grid flexibility provision","authors":"Kaishiro Ikuta,&nbsp;Hirohisa Aki","doi":"10.1016/j.segan.2024.101618","DOIUrl":"10.1016/j.segan.2024.101618","url":null,"abstract":"<div><div>The integration of renewable energy sources has heightened the need for flexibility within power systems. Distributed energy resources (DERs) on the demand side can fulfill this need through grid flexibility provisions. This study introduces a price-based demand response (PDR) scheme designed to motivate prosumers to adjust DER operations, supplying flexibility comparable to the Replacement Reserve for Feed-in Tariff in the Japanese flexibility market via aggregators. This flexibility is coordinated through market mechanisms. Aggregators set variable real-time incentive (RTI) ranges alongside time-of-use rates, serving as economic motivators for prosumers during the day-ahead (DA) planning phase, aligning with their operational plans. Prosumers’ plans are continuously updated until the hour-ahead (HA) stage, with final pricing established to minimize imbalances. Flexibility provision is actualized in the real-time stage. This study aims to mitigate prosumer imbalances and provide on-demand flexibility by employing PDR with a two-stage incentive design method. We developed a multi-timescale model that simulates each stage and performs DER operation simulations for flexibility procurement in the balancing market. The key findings are: (1) DA-stage analysis of flexibility availability enables DERs to secure flexibility through RTI adjustments. (2) RTI and DER planning, informed by HA planning, support flexibility procurement and imbalance reduction. (3) DER characteristics, such as flexibility provision potential and responsiveness to incentives, were evaluated. Through this RTI scheme, DERs were able to provide downward and upward flexibility at rates of 77 and 85 %, respectively, within DA planning. DER planning contributed to a 76 % imbalance reduction in 29 of 96 HA time steps.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101618"},"PeriodicalIF":4.8,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177819","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":"Prospecting electricity theft through assignment of AI detected buildings to registered consumer units","authors":"Antônio M. Kaminski ,&nbsp;Filipe G. Carloto ,&nbsp;Matheus M. Jacques ,&nbsp;Vinícius J. Garcia ,&nbsp;Otacílio C. Filho ,&nbsp;Carlos H. Barriquello","doi":"10.1016/j.segan.2024.101609","DOIUrl":"10.1016/j.segan.2024.101609","url":null,"abstract":"<div><div>Electricity theft in electrical distribution networks poses a significant challenge, compromising system efficiency and profitability. Traditional detection methods often fall short, lacking the precision and efficiency needed to accurately locate and quantify theft. This paper introduces an innovative approach utilizing satellite imagery to identify clandestine connections, thereby enhancing detection accuracy. The methodology involves comparing building rooftops with registered consumer units through a multi-stage process that incorporates distinct techniques, including a mathematical approach to resolve the assignment problem between AI-detected buildings and registered consumer units. A crucial stage involves weight calculation, tested via four proposed methods using simulated data, with those employing Neural Networks showing superior performance. Areas without assigned meters are flagged for prioritized inspections. Simulated tests yielded promising results, identifying over 80% of clandestine connections in most scenarios for some methods. Real-world data validation further demonstrated the method’s efficacy, accurately pinpointing more than 80% of clandestine connections in high-theft regions, with subsequent refinements enhancing detection accuracy. Field inspections found clandestine connections in almost 60% of inspected locations indicated by the proposed methodology, showing amazing potential from a practical standpoint. The proposed assignment methodology offers substantial promise for utility companies, providing a more effective means to combat electricity theft, thereby improving system efficiency, reliability, and profitability in the electrical energy sector.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101609"},"PeriodicalIF":4.8,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178116","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":"A sequential conic relaxation based OPF incorporating Dynamic Line Rating considering uncertainty","authors":"Aprajay Verma,&nbsp;K. Shanti Swarup","doi":"10.1016/j.segan.2024.101603","DOIUrl":"10.1016/j.segan.2024.101603","url":null,"abstract":"<div><div>The Dynamic Line Rating (DLR) is a promising asset optimization technique that effectively utilizes the transmission line. Due to non-convexity introduced by radiative cooling equations, incorporating DLR directly into Alternating Current Optimal Power Flow (ACOPF), solving real-time dispatch, is challenging even when Heat Balance Equations (HBE) are discretized. Hence, this paper proposes an iterative conic relaxation based technique, which transforms the original non-convex model into a series of conic convex problems. The real time dispatch is effected by errors in forecast, hence, to increase system security a data driven robust chance constrained based optimization with an exact reformulation of joint constraints is proposed. Frequency Restoration Reserve (FRR) requirement to compensate for the power mismatches due to forecast error are also evaluated. The proposed method is proven to converge to the local optimal point, and joint constraint reformulation is demonstrated to be less conservative than Bonferroni’s approximation.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101603"},"PeriodicalIF":4.8,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178107","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":"Increasing PV hosting capacity with phase rebalancing in LV networks: A network-agnostic rule-based approach","authors":"Yushan Hou ,&nbsp;Arthur Gonçalves Givisiez ,&nbsp;Michael Z. Liu ,&nbsp;Luis F. Ochoa","doi":"10.1016/j.segan.2024.101615","DOIUrl":"10.1016/j.segan.2024.101615","url":null,"abstract":"<div><div>Most residential photovoltaic (PV) systems are single-phase installations and, therefore, can increase unbalance. More unbalance exacerbates voltage rise issues on certain phases, potentially limiting the PV hosting capacity of low voltage (LV) networks. Rebalancing customers by adequately switching their phase connection can reduce unbalance and improve voltage headroom, allowing for more PV systems. However, this needs to be done quickly to cater for the normal variations in net demand. Furthermore, since most distribution companies do not have accurate, detailed three-phase LV network models, a solution independent of such models is desirable so it can be implemented. This paper proposes a fast, network-agnostic rule-based rebalancing approach that only requires knowledge of the phase groups, i.e., no network models are needed. Its feasibility is mathematically proven, and its effectiveness is benchmarked against a model-driven AC Optimal Power Flow (OPF)-based approach formulated as MINLP. Using a realistic Australian LV feeder with 29 single-phase customers, results show that the proposed approach mitigates unbalance as effectively as the OPF-based approach, in sub-seconds and without network models. Crucially, this paper demonstrates how a practical and scalable approach to reduce unbalance in two Australian LV networks—with different number of LV feeders and customers—can significantly increase the PV hosting capacity without resorting to PV curtailment.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101615"},"PeriodicalIF":4.8,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177762","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":"Blockchain for energy market: A comprehensive survey","authors":"Tianqi Jiang ,&nbsp;Haoxiang Luo ,&nbsp;Kun Yang ,&nbsp;Gang Sun ,&nbsp;Hongfang Yu ,&nbsp;Qi Huang ,&nbsp;Athanasios V. Vasilakos","doi":"10.1016/j.segan.2024.101614","DOIUrl":"10.1016/j.segan.2024.101614","url":null,"abstract":"<div><div>The energy market encompasses the behavior of energy supply and trading within a platform system. By utilizing centralized or distributed trading, energy can be effectively managed and distributed across different regions, thereby achieving market equilibrium and satisfying both producers and consumers. Additionally, the energy market can address future production control and environmental concerns such as energy shortages and environmental deterioration. However, recent years have presented unprecedented challenges and difficulties for the development of the energy market. These challenges include regional energy imbalances, volatile energy pricing, high computing costs, and issues related to transaction information disclosure. These factors have hindered the smooth operation of the energy market. Researchers widely acknowledge that the security features of blockchain technology can enhance the efficiency of energy transactions and establish the fundamental stability and robustness of the energy market. This type of blockchain-enabled energy market is commonly referred to as an energy blockchain. Currently, there is a burgeoning amount of research in this field, encompassing algorithm design, framework construction, and practical application. It is crucial to organize and compare these research efforts to facilitate the further advancement of energy blockchain. This survey aims to comprehensively review the fundamental characteristics of blockchain and energy markets, highlighting the significant advantages of combining the two. Moreover, based on existing research outcomes, we will categorize and compare the current energy market research supported by blockchain in terms of algorithm design, market framework construction, and the policies and practical applications adopted by different countries. Finally, we will address current issues and propose potential future directions for improvement, to provide guidance for the practical implementation of blockchain in the energy market.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"41 ","pages":"Article 101614"},"PeriodicalIF":4.8,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178604","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}