Electric Power Systems Research最新文献_第3页

Adaptive resilient control and detection mechanisms for secure nanogrid operations facing FDI attacks

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-26 DOI: 10.1016/j.epsr.2025.111637

Renle Gong , Mohamed Salem , Mahmood Swadi , Faisal A. Mohamed

{"title":"Adaptive resilient control and detection mechanisms for secure nanogrid operations facing FDI attacks","authors":"Renle Gong , Mohamed Salem , Mahmood Swadi , Faisal A. Mohamed","doi":"10.1016/j.epsr.2025.111637","DOIUrl":"10.1016/j.epsr.2025.111637","url":null,"abstract":"<div><div>Paralleled DC hybrid Nanogrid (DCHNG) with a communication network is configured for the profit of consumers. In this structure, parallel power converters with distinct generation units are established to supply constant power loads (CPLs). In particular, the impact of false data injection (FDI) attack on injecting false data into measurement signals is investigated from a systematical point of view. The case study is constructed from two energy storage units which supply the connected loads to DCHNG. An adaptive resilient scheme has been developed in the current paper to address the destructive effects of FDI attacks on DCHNG systems. In the first step, a detection mechanism based on the non-integer extended state observed is developed to estimate the system output while the occurrence of cyber threats is identified by the residual scheme. Then, the mitigation mechanism is applied to eliminate the effect of the FDI attack and stabilize the output of DC hybrid Nanogrid. The twine-delayed actor-critic (TDAC) scheme, as an advanced reinforcement learning (RL), is developed for the adaptive design of the mitigation mechanism. The twin critic networks assess the quality of selected variables of mitigation mechanism, and the policy is updated by the actor network according to the evaluation. The training of deep neural networks (DNNs) of TDAC is realized in such a way that the effect of FDI threats disappears and stabilizes the DCHNG under CPLs simultaneously. Compared with the conventional cyber defense schemes which are developed based on the system model, the proposed technique doesn't need the dynamic model of the system. The real-time tests based on the Arduino Mega2560 setup are carried out and real-time tests of DCHNG reveal the effectiveness of the suggested scheme to address cybersecurity issues.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-time power optimization strategy for fuel cell ships based on improved genetic simulated annealing algorithm

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-26 DOI: 10.1016/j.epsr.2025.111647

Qinjin Zhang, Liming Song, Yji Zeng, Yancheng Liu, Siyuan Liu, Ning Wang

{"title":"Real-time power optimization strategy for fuel cell ships based on improved genetic simulated annealing algorithm","authors":"Qinjin Zhang, Liming Song, Yji Zeng, Yancheng Liu, Siyuan Liu, Ning Wang","doi":"10.1016/j.epsr.2025.111647","DOIUrl":"10.1016/j.epsr.2025.111647","url":null,"abstract":"<div><div>In alignment with the global pursuit of energy conservation and emission reduction, the utilization of hydrogen fuel cells (FCs) shipboard vessels are increasingly recognized as a potent means to mitigate environmental impact. However, despite its promising potential, the elevated costs associated with FCs and hydrogen fuel currently pose a significant challenge to market competitiveness. To maximize the economic viability of FC-Battery hybrid system in maritime applications, this study introduces an innovative real-time energy management strategy (EMS) that refines the Genetic Simulated Annealing Algorithm (G-SA) to mitigate FC degradation and enhance overall system cost-effectiveness by integrating the concept of Equivalent Hydrogen Consumption (EHC). The crux of this strategy lies in the implementation of a Nonlinear Autoregressive Neural Network model (NAR-NET), which facilitates the real-time forecasting of vessel load demands. By embedding the EHC of the hybrid power system and the degradation factor of FCs into the objective function, the strategy employs G-SA to determine the optimal power allocation in real-time. Compared with the Equivalent Consumption Minimization Strategy (ECMS), the proposed strategy is shown to achieve a 13 % to 30 % reduction in equivalent fuel consumption and approximately a 34 % slowdown in the rate of performance degradation.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111647"},"PeriodicalIF":3.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An adaptive power-voltage hierarchical control based on improved consensus algorithm for DC traction power supply system

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-25 DOI: 10.1016/j.epsr.2025.111642

Li Lin , Ting Sun , Mi Fan , Fengrui You , Yuanmiao Huang

{"title":"An adaptive power-voltage hierarchical control based on improved consensus algorithm for DC traction power supply system","authors":"Li Lin , Ting Sun , Mi Fan , Fengrui You , Yuanmiao Huang","doi":"10.1016/j.epsr.2025.111642","DOIUrl":"10.1016/j.epsr.2025.111642","url":null,"abstract":"<div><div>Droop control is a typical method for achieving power-voltage control in DC systems. However, the movement of traction trains causes real-time changes in the resistance of the traction network, leading to variations in power sharing at traction substations (TSSs) determined by droop control, thereby impacting the voltage operation quality of the DC traction power supply system (TPSS). In this paper, an adaptive power-voltage hierarchical control strategy considering rational traction power sharing and voltage compensation based on the consensus algorithm is proposed to mitigate the impact of train movement. Firstly, to enhance the convergence speed of inter-station communication algorithms in the system layer control, an improved consensus algorithm with a convergence factor is proposed to calculate the average values of TSS state variables needed for the local layer control. Secondly, in the local layer control, the per-unit average power of TSSs is introduced to compensate for the impact of train movement on the droop coefficient. Furthermore, to reduce power loss in the traction network, a base quantity for virtual power is proposed for further compensation of the droop coefficient. Through dynamic compensation of the droop coefficient, a rational sharing of traction power according to rated capacity and power supply distance at TSSs is achieved. Moreover, the voltage average is utilized for secondary compensation of voltage deviations at TSSs. Finally, simulations based on a four-terminal DC TPSS have been established to validate the effectiveness of the proposed method in terms of power sharing and voltage control.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111642"},"PeriodicalIF":3.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A two-stage recovery strategy against false data injection attacks in smart grids

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-25 DOI: 10.1016/j.epsr.2025.111632

Guoqing Zhang, Wengen Gao, Yunfei Li, Fang An

{"title":"A two-stage recovery strategy against false data injection attacks in smart grids","authors":"Guoqing Zhang, Wengen Gao, Yunfei Li, Fang An","doi":"10.1016/j.epsr.2025.111632","DOIUrl":"10.1016/j.epsr.2025.111632","url":null,"abstract":"<div><div>False Data Injection Attacks (FDIAs) exploit vulnerabilities in the bad data identification mechanisms of power systems by tampering with measurement data. These attacks compromise state estimation, posing a critical threat to the safety and stability of power system operations. To enhance system resilience and enable rapid recovery after an attack, this paper proposes a novel two-stage recovery strategy specifically designed to address FDIAs. In the first stage, a detection method based on Normalized State Variable Residuals (NSVR) is introduced. By leveraging the distinct convergence behaviors of Weighted Least Squares (WLS) and the Extended Kalman Filter (EKF) under FDIAs, NSVR serves as an effective metric for detecting compromised measurements. The second stage employs a multi-step prediction compensation (MSPC) approach for attack correction. After identifying the attacked buses in the first stage, the prediction step of the EKF is utilized to compute the predicted values of the measurements. These predicted values are then selectively used to replace tampered measurements, reconstructing a set of corrected measurements for subsequent state estimation. Comprehensive simulation experiments were conducted on IEEE 14-bus and IEEE 30-bus test systems. The results confirm the efficacy of the proposed algorithm in accurately detecting FDIAs and achieving recovery of the power system.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111632"},"PeriodicalIF":3.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transmission grid and distribution grid flexible planning under high level renewable energy

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-24 DOI: 10.1016/j.epsr.2025.111639

Su Ma , Lu Liu , Haozhong Cheng , Xiaohu Zhang , Ling Xu , Wei Lou , Jiechen Wu

{"title":"Transmission grid and distribution grid flexible planning under high level renewable energy","authors":"Su Ma , Lu Liu , Haozhong Cheng , Xiaohu Zhang , Ling Xu , Wei Lou , Jiechen Wu","doi":"10.1016/j.epsr.2025.111639","DOIUrl":"10.1016/j.epsr.2025.111639","url":null,"abstract":"<div><div>The grow prominence of renewable energy has highlighted the need for coordinated planning between transmission and distribution with flexibility. With rapidly increasing levels of renewable energy penetration, flexibility plays an ever more critical role in power system due to the uncertainty and variability of renewable energy generation. Also, there is an urgent need to integrate flexibility in coordinated planning models to effectively manage high levels of renewable energy. In this paper, a novel tri-level method for coordinated planning of flexible transmission grid and distribution grid (TSG-DSG) is proposed considering normal operational conditions and severe fault conditions; moreover, a novel network structure regulation as well as coal-fired power units and energy storage systems are employed as flexible tools for flexibility enhancement of transmission and distribution system under static security and transient stability framework. The model employs a parallel tri-level Benders decomposition & heterogeneous decomposition algorithm to improve computational efficiency. Upper level of the tri-level model minimizes the investment and operational costs under normal operational conditions, while the middle and lower levels minimize expectation of operational costs under faults in the transmission and distribution grids. The proposed method is applied to a real case study HRPTD-20 system. Results demonstrate that the coordinated planning method is both cost effective and computationally efficient. With the proposed methodology, the cost is reduced by 3.3 billion CNY and the renewable energy consumption rate is improved by 6 %.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111639"},"PeriodicalIF":3.3,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging battery storage to provide green inertia in DC microgrids: Innovative grid-forming converter strategies

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-23 DOI: 10.1016/j.epsr.2025.111626

Hesam Pishbahar, Siroos Hemmati, Hedayat Saboori

{"title":"Leveraging battery storage to provide green inertia in DC microgrids: Innovative grid-forming converter strategies","authors":"Hesam Pishbahar, Siroos Hemmati, Hedayat Saboori","doi":"10.1016/j.epsr.2025.111626","DOIUrl":"10.1016/j.epsr.2025.111626","url":null,"abstract":"<div><div>DC microgrids are at the cutting edge of power industry innovation, offering unparalleled efficiency and integration potential for modern energy systems. Despite their advantages, the critical challenge of the lack of inherent inertia persists, compromising system stability. An innovative and essential sustainability solution, green inertia, has been introduced to address this issue. By leveraging grid-forming converters and simulating the properties of rotating masses, this idea allows modern grids to move away from fossil fuels towards a more sustainable future without compromising sustainability. This study introduces the application of green inertia within four state-of-the-art grid-forming DC-DC converters designed for battery integration. These include the Buck-Boost (BUBO), Single- and Three-phase Dual Active Bridge (DAB and ThPh-DAB), and the Dual Active Half-Bridge (DAHB). Leveraging the Virtual Compound DC Machine (VCDCM), this research introduces novel inertia emulation techniques, marking the first implementation of VCDCM in DAB, ThPh-DAB, and DAHB converters. Extensive simulations highlight the effectiveness of these converters in stabilizing DC microgrid performance while balancing technical efficiency and cost-effectiveness. This work redefines the role of grid-forming converters and sets a foundational framework for next-generation DC microgrids, paving the way for resilient and adaptive power systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111626"},"PeriodicalIF":3.3,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal active and reactive power scheduling for inverter-integrated PV and BESS under inverter current constraints

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-22 DOI: 10.1016/j.epsr.2025.111629

Sezai Polat , Emrah Biyik , Hacer Şekerci Öztura

{"title":"Optimal active and reactive power scheduling for inverter-integrated PV and BESS under inverter current constraints","authors":"Sezai Polat , Emrah Biyik , Hacer Şekerci Öztura","doi":"10.1016/j.epsr.2025.111629","DOIUrl":"10.1016/j.epsr.2025.111629","url":null,"abstract":"<div><div>The intermittent nature of renewable energy complicates grid integration, requiring an efficient Energy Management System (EMS). This study addresses day-ahead EMS in distribution systems (DS) with a focus on active and reactive power scheduling, utilizing the reactive power support of inverters in Photovoltaic (PV) and Battery Energy Storage Systems (BESS). A novel current-based method is proposed, accounting for current limits, bus voltage, inverter lifetime reduction costs, and inverter losses modeled as load. This method impacts load flow, bus voltage, and voltage-dependent loads, enabling optimal decisions for compensating inverter losses via the grid, BESS, or PV. Simulations on the IEEE 33 test system show a 5% reduction in inverter losses with the current-based method and 6% with the traditional power-based method. Inverter lifetime reduction costs were minimized by 42% and 58% with the current- and power-based methods, respectively, under summer conditions. In winter, reductions reached 49% and 14%. Crucially, inverter output depends on bus voltage, challenging the assumption of constant rated power. At voltages below 1.00 p.u., inverters underperform, achieving only 209 kVA of a 215 kVA rating. These findings emphasize the need for accurate modeling to improve EMS performance and reliability in renewable energy systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111629"},"PeriodicalIF":3.3,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-scenario stochastic assessment of operational risk of integrated energy system based on R-vine Copula

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-21 DOI: 10.1016/j.epsr.2025.111569

Zhuoxiang Wu, Shunfu Lin, Jin Tan, Dongdong Li

{"title":"Multi-scenario stochastic assessment of operational risk of integrated energy system based on R-vine Copula","authors":"Zhuoxiang Wu, Shunfu Lin, Jin Tan, Dongdong Li","doi":"10.1016/j.epsr.2025.111569","DOIUrl":"10.1016/j.epsr.2025.111569","url":null,"abstract":"<div><div>Fluctuations in new energy supply and uncertainties in multi-energy load demands introduce various operational risks to integrated energy systems. This paper proposes a comprehensive approach for multi-scenario stochastic assessment of these operational risks. Firstly, an indicator system for assessing operational risks considering safety, reliability, and economy is established. Secondly, considering the uncertainty and correlativity among risk factors, such as wind and solar power output, electricity, gas, and heat demand, a non-parametric kernel density estimation and Gaussian distribution are applied to form marginal probability distributions. A joint probability distribution is generated based on the R-vine copula function. Moreover, Monte Carlo sampling is employed to derive typical daily operational scenarios through clustering. Finally, considering the stochastic nature of diverse scenarios, the comprehensive operational risk value of the integrated energy system is quantitatively calculated using the AHP-TOPSIS method. A case study on an integrated electricity-gas-heat energy system, comprising an improved IEEE 30-bus power system, a Belgian 20-node natural gas network, and a 6-node heat network, validate the effectiveness of the proposed assessment method.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111569"},"PeriodicalIF":3.3,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Comprehensive Technical Risk Indices and Advanced Methodologies for Power System Risk Management” [Electric Power Systems Research volume (2025) 111534 –111566]

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-21 DOI: 10.1016/j.epsr.2025.111591

Elaheh Yaghoubi , Elnaz Yaghoubi , Mohammad Reza Maghami , Mehdi Zareian Jahromi

引用次数: 0

Bridging energy and mobility: Optimizing operation of centralized and mobile battery swapping stations in Berlin network

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-03-21 DOI: 10.1016/j.epsr.2025.111627

Mustafa Cagatay Kocer , Hakan Gultekin , Sahin Albayrak , Ahmet Onen

{"title":"Bridging energy and mobility: Optimizing operation of centralized and mobile battery swapping stations in Berlin network","authors":"Mustafa Cagatay Kocer , Hakan Gultekin , Sahin Albayrak , Ahmet Onen","doi":"10.1016/j.epsr.2025.111627","DOIUrl":"10.1016/j.epsr.2025.111627","url":null,"abstract":"<div><div>This paper proposes an innovative approach to optimizing the operations of a central battery swapping station (BSS) and its affiliated mobile battery swapping stations (MBSS) in the urban environment. The principal aim is to maximize the profit of the BSS, focusing on enhancing revenue through energy sales to the grid and effective battery swapping operations, facilitated by MBSS that are strategically deployed across Berlin, Germany. The decision-making paradigm integrates spatial considerations based on the population distribution of different regions, thus predicting their battery swapping demand. To accommodate this demand, MBSS are loaded with a determined number of batteries. As these batteries are depleted, MBSS return to the BSS to deposit empty units and procure fully-charged ones. The BSS, in its operational dynamics, holds these depleted batteries, strategically charging them based on dynamic energy prices to optimize grid sales and increase revenue. A mixed integer programming model has been formulated and developed to offer a systematic solution to this multifaceted problem. Results show that Case Study I prioritizes battery swap operations, while Case Study II allocates more capacity to energy sales. Ultimately, Case Study I achieves higher profitability than Case Study II, despite the latter’s increased energy sales revenue. The findings presented here not only pave the way for a more efficient electric vehicle (EV) adoption infrastructure but also underscore the potential financial benefits of such a system when interfaced with the power grid.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111627"},"PeriodicalIF":3.3,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0