Electric Power Systems Research最新文献

{"title":"Incipient fault identification method for 10 kV power cables based on sheath current and DVAE-SAO-CatBoost","authors":"Xiaolei Pan ,&nbsp;Dongdong Zhao ,&nbsp;Hongxiao Chen ,&nbsp;Ao Shen ,&nbsp;Kunyi Wu","doi":"10.1016/j.epsr.2025.111583","DOIUrl":"10.1016/j.epsr.2025.111583","url":null,"abstract":"<div><div>In regard to the identification of incipient faults in 10 kV power cables, the existing researches based on data-driven methods are inadequate due to the oversimplification of the incipient fault model, which should be regarded as complex and multi-class faults. To address this issue, a comprehensive analysis of the evolution of incipient faults in 10 kV power cables is presented, and a novel method based on sheath current and denoising variational autoencoder-snow ablation optimizer-categorical boosting (DVAE-SAO-CatBoost) algorithm is proposed in this paper. Firstly, a novel dataset of complex and multi-class incipient faults for 10 kV power cables is developed based on sheath current via PSCAD/EMTDC software. Secondly, a DVAE network is employed for the purpose of feature extraction, thereby generating a feature dataset. Finally, a CatBoost network based on SAO algorithm for hyperparametric optimization is proposed as a classifier, with the feature dataset as input and the final output being the identification of the incipient faults. The results of the experiments demonstrated that the proposed method achieved near 100% identification accuracy in the environment with minimal noise. Even in a high noise environment with a signal-to-noise ratio of 5 dB and in a high data loss condition with a 25% data missing rate, the proposed method still demonstrated identification accuracies of 91.6% and 90.8%, respectively. Compared with the comparison methods, the proposed method consistently exhibited superior identification accuracy and robustness.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111583"},"PeriodicalIF":3.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592893","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}

{"title":"Scalable nonparametric joint chance-constrained unit commitment with renewable uncertainty","authors":"Chutian Wu,&nbsp;Fouad Hasan,&nbsp;Amin Kargarian","doi":"10.1016/j.epsr.2025.111573","DOIUrl":"10.1016/j.epsr.2025.111573","url":null,"abstract":"<div><div>Recent advances in modeling distributionally robust joint chance constraints (DRJCCs) include moment-based and kernel-based approaches. The computational burden of such programming increases exponentially with the dimension of DRJCCs. This paper introduces a scalable kernel-based DRJCC unit commitment approach. Network constraints are treated as chance constraints jointly over transmission lines, while reserve requirements are considered as chance constraints jointly over the scheduling horizon. DRJCCs are formulated using multivariate kernel density estimation with the integral of uniform kernel. The kernel function is linearized using a special ordered set of type 1 (SOS1) variables. Three techniques are proposed to reduce computational costs. Firstly, DRJCCs are replaced with individual chance constraints using optimized Bonferroni, and the resulting kernel-based constraints are linearized. A probability function compression technique reduces the number of constraints and SOS1 variables needed to linearize kernel density functions. Furthermore, a learning-aided technique reduces the dimensionality of optimization by removing inactive network constraints. Simulation studies demonstrate the effectiveness of the proposed techniques.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111573"},"PeriodicalIF":3.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592960","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}

{"title":"Fault recovery method of DC distribution network considering EV charging and discharging and SOP network reconfiguration","authors":"Yongqiang Kang,&nbsp;Gang Lu,&nbsp;Meng Chen,&nbsp;Xinglong Li,&nbsp;Shuaibing Li","doi":"10.1016/j.epsr.2025.111607","DOIUrl":"10.1016/j.epsr.2025.111607","url":null,"abstract":"<div><div>In the post-disaster fault recovery scenario, the decentralized scaled electric vehicles (EV) have considerable discharging potential, coupled with photovoltaic energy storage power supply equipment, which can effectively underpin the re-establishment of power supply for crucial loads within the DC distribution network and cut down power outage losses. This paper puts forward a fault recovery approach for the DC distribution network, which is founded on the charging and discharging of EV as well as the network reconfiguration of soft open points (SOP). To begin with, by leveraging the vehicle-to-grid interaction characteristics of EV, the power model for EV charging and discharging and the discharging response model are formulated. Further considering the regulation of SOP on power flow distribution and the connectivity characteristics of the main network, an SOP model suitable for DC distribution network is established. Next, the island partition model is developed, aiming to optimize the priority restoration of important loads. Based on this, a two - tier fault recovery model is built, taking into account the distribution network system loss, the total voltage deviation, and the income of EV users. The upper-layer model is resolved using the multi-objective particle swarm optimization algorithm to ascertain the optimal discharging power for each discharging station. The lower-layer model is solved by the simulated annealing algorithm to decide the optimal access location for the SOP network reconstruction, so as to obtain the optimal fault recovery scheme. Finally, by taking the modified IEEE 33-node DC distribution network as a case study, the proposed fault recovery method is analyzed and validated. The results show that in the fault recovery process of the DC distribution network with a scaled presence of EV, this approach is capable of not merely satisfying the power-supply restoration of crucial loads, but also guaranteeing the optimal performance in terms of system network loss, total voltage deviation, and the enhancement of EV users' income.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111607"},"PeriodicalIF":3.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592959","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}

{"title":"Impedance modeling analysis and variable transient virtual impedance control of virtual synchronous generators under external disturbances in microgrids","authors":"Andong Liu ,&nbsp;Jun Liu ,&nbsp;Hongbo Cao","doi":"10.1016/j.epsr.2025.111571","DOIUrl":"10.1016/j.epsr.2025.111571","url":null,"abstract":"<div><div>Due to the continuous expansion of the application scope of virtual synchronous generator (VSG) technology in microgrids and renewable energy generation, grid-connected converters need to address the impact of different external disturbances on stability and performance. This article uses the impedance modeling method to establish a VSG impedance model considering both DC voltage and microgrid frequency fluctuations. Propose variable transient virtual impedance control (VT-VIC) to get rid of the effect that changes in DC voltage and microgrid frequency have on VSG performance and stability. Simultaneously, impedance analysis of VT-VIC and Active Damping Control (ADC) under different operating conditions was conducted using the established VSG impedance model. Through experimental verification, the proposed variable transient virtual impedance control (VT-VIC) performs better than active damping control (ADC) under external disturbances. Finally, analyze the experimental results and draw conclusions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111571"},"PeriodicalIF":3.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578649","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}

{"title":"Comprehensive design of active damper for suppression of harmonic resonance in renewable energy system","authors":"Fei Li ,&nbsp;Yongxin Zhang ,&nbsp;Qiang Feng ,&nbsp;Yang Liu ,&nbsp;Xing Zhang ,&nbsp;Mingyao Ma","doi":"10.1016/j.epsr.2025.111564","DOIUrl":"10.1016/j.epsr.2025.111564","url":null,"abstract":"<div><div>The integration of renewable energy systems (RES) into power grids has led to harmonic resonance (HR) issues due to impedance interactions, affecting the stability of power systems. Active dampers (ADs) have been proposed to mitigate these resonances by simulating virtual resistances at the Point of Common Coupling (PCC). However, existing AD implementations face challenges in defining clear boundaries for virtual resistance values and accurately realizing the desired external characteristics across a wide frequency range. This paper introduces a virtual resistance design method that leverages the concept of the voltage harmonic amplification ratio (HAR), enabling the quantitative suppression of HR and ensuring effective virtual resistance across varying grid impedance conditions. Additionally, a comprehensive parameter design method is proposed, encompassing the design of filter parameters and current loop controller parameters, while also accounting for the interactions between the hardware and software parameters of the AD to further explore the virtual resistance value range. This enhances the practicality and robustness of the AD system in applications. A DFIG-based wind power system is used as an analysis case to demonstrate the application of the proposed methods, and a controller hardware-in-the-loop (CHIL) experimental platform was constructed to verify the proposed method and design.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575554","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}

{"title":"On the application of the branch DistFlow using second-order conic programming in microgrids","authors":"Ali Alizadeh ,&nbsp;Mahmoud A. Allam ,&nbsp;Bo Cao ,&nbsp;Innocent Kamwa ,&nbsp;Minghui Xu","doi":"10.1016/j.epsr.2025.111574","DOIUrl":"10.1016/j.epsr.2025.111574","url":null,"abstract":"<div><div>In recent years, the Second-Order Conic Programming (SOCP) model of Distribution Power Flow (DistFlow) has been widely adopted in operation and planning studies of distribution systems due to its simplicity for various applications compared to other convex models. It provides a relaxed convex formulation of DistFlow equations to ensure the feasibility of solutions. This Paper investigates the performance of the SOCP model in Microgrids (MGs) and Active Distribution Systems (ADSs). It identifies scenarios where the SOCP model results in incorrect solutions, implying that it does not necessarily guarantee solution feasibility. Mathematical proofs are also presented to demonstrate that the SOCP DistFlow is not completely capable of maintaining the security of MGs and ADSs. Due to the high popularity of the SOCP model over other DistFlow models in the literature, an effective algorithm is proposed for the SOCP model to ensure the consistency of solutions in MGs and ADSs, regardless of operational conditions. The convergence of the proposed algorithm to the optimal solution is mathematically proved. The results are verified using OpenDSS software. The results demonstrate that the proposed algorithm enhances convergence speed and accuracy, while maintaining the simplicity needed for practical use in operation and planning studies.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111574"},"PeriodicalIF":3.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578650","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}

{"title":"Multi-phase unbalanced AC–DC distribution system state estimation with benders decomposition","authors":"Poornachandratejasvi Laxman Bhattar ,&nbsp;Naran M. Pindoriya ,&nbsp;Anurag Sharma","doi":"10.1016/j.epsr.2025.111561","DOIUrl":"10.1016/j.epsr.2025.111561","url":null,"abstract":"&lt;div&gt;&lt;div&gt;State estimation for distribution system is an essential tool for monitoring and control operations such as energy management, Volt-VAR optimization, and load management. Therefore, the distribution system needs an effective monitoring system. However, the advancement in information and communication technology (ICT), such as advanced metering infrastructures and synchrophasors, has made the distribution system more observable and therefore, relatively convenient for state estimation. Moreover, monitoring the distribution system is challenging due to its unbalanced &amp; multi-phase nature, limited measurements, and numerous nodes. The topological challenges for distribution systems include network configuration, such as weakly meshed and radial networks. The distribution system has a resistance-to-reactance ratio greater than one, which makes it prone to ill-conditioning. Further, imposing the additional challenge of Jacobian matrix inversion, which causes difficulty to apply the gradient-based optimization methods. On the other hand, the distribution networks accommodate the distributed energy resources, AC power flow and DC power flow forming an integrated network of AC–DC distribution. The AC–DC systems are coupled with power electronics converters. Therefore, a combined state estimation technique with an AC–DC system is necessary for effective monitoring and control decision-making. There is a challenge for combined AC–DC systems owing to topological characteristics and modelling of the power electronics converters for steady-state operation along with their control strategy. Thus, the simplified power electronics converter models are developed in this work for AC–DC distribution system state estimation (DSSE). However, DSSE is a mathematically intensive large-scale optimization problem and requires a substantial computational resource. Mathematical complexities include ill-condition Jacobian matrix inversion and time complexity challenges for large-scale optimization. The estimation problem formulated as a non-linear mathematical program adds the computational burden for the large-scale optimization problem. The other challenges, such as structural and mathematical complexity, have provided the pathway for decomposing larger problems into smaller sub-problems for improved efficiency in solving optimization problems. Hence, this work proposes the DSSE formulation as a linear optimization problem for the unbalanced multi-phase AC–DC distribution system. This work proposes a Benders decomposition-based AC–DC DSSE algorithm to address the above challenges and improve efficiency of solving the large-scale DSSE optimization problems. To demonstrate the effectiveness of the proposed DSSE algorithm, it is implemented on the distribution test system having the radial and meshed configurations with unbalanced network condition such as the IEEE 33-node system, modified IEEE 13-node, and IEEE 123-node unbalanced multi-phase AC–DC distribution","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"244 ","pages":"Article 111561"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563138","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}

{"title":"Outage risk management for residential users considering distribution network reliability assessment: A P2P outage insurance approach","authors":"Hongli Wang ,&nbsp;Jun Yang ,&nbsp;Gaojunjie Li ,&nbsp;Fuzhang Wu ,&nbsp;Yuhao Lin ,&nbsp;Fengran Liao ,&nbsp;Legang Jia","doi":"10.1016/j.epsr.2025.111590","DOIUrl":"10.1016/j.epsr.2025.111590","url":null,"abstract":"<div><div>The increasing integration of renewable energy sources and the rising frequency of extreme weather events have exacerbated supply-demand imbalances and heightened power outage risks. To mitigate these risks for residential users, this paper proposes a P2P outage insurance mechanism. A chain reinsurance framework is established, involving system operators, insurance intermediaries, and residential users, based on a pool-type P2P insurance model, along with its associated business processes. Premiums are determined using the standard deviation principle, while outage losses in complex networks are calculated through a reliability assessment method based on two-way traversal search. Furthermore, a premium sharing mechanism within mutual aid groups is developed using the Shapley value, accounting for the heterogeneous outage risks and losses of different users. The feasibility and effectiveness of the proposed mechanism are validated using an IEEE-RBTS numerical example. Results demonstrate that the mechanism enables effective risk sharing and fair cost allocation, indirectly enhancing system reliability, while reducing premiums by 22 % compared to traditional insurance. Accurate reliability assessment can be realized for distribution networks with backup power and sub-feeders.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111590"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570578","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}

{"title":"Bi-objective reinforcement learning for PV array dynamic reconfiguration under moving clouds","authors":"Chen Liu ,&nbsp;Yu Wang ,&nbsp;Qiushi Cui ,&nbsp;Bikash Pal","doi":"10.1016/j.epsr.2025.111579","DOIUrl":"10.1016/j.epsr.2025.111579","url":null,"abstract":"<div><div>During the daily operation of photovoltaic (PV) array, it often encounters partial shading conditions, primarily caused by varying degrees of obstruction from moving clouds. One favored method for alleviating the negative impacts of partial shading conditions (PSC) is the reconfiguration of PV arrays. Nevertheless, the conventional method of PV array reconfiguration primarily focuses on maximizing power output, neglecting the consideration of switching device lifetime and the complexity of control involved. This paper introduces a bi-objective reinforcement learning approach for the dynamic reconfiguration of PV arrays in the presence of moving clouds. The objective is to maximize power output while minimizing the number of switches. To validate the efficacy of this approach, two distinct models of moving cloud scenarios were constructed, and simulations were conducted using a 10 × 10 PV array and a 15 × 15 PV array. Then, we compare it with other candidate algorithms. We found that the maximum power capacity achieved by the BiPPO algorithm is 22.62 % higher than other algorithm. Meanwhile, compared to the other algorithms, BiPPO significantly decrease the frequency of PV array reconfiguration by 1.32 to 1.76 times at different time intervals. Through these comparative studies, we verify the effectiveness of the proposed approach.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111579"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570579","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}

{"title":"Adaptive operational allocation of D-SVCs in distribution feeders using modified artificial rabbits algorithm","authors":"Ali S. Aljumah ,&nbsp;Mohammed H. Alqahtani ,&nbsp;Abdullah M. Shaheen ,&nbsp;Ahmed R. Ginidi","doi":"10.1016/j.epsr.2025.111588","DOIUrl":"10.1016/j.epsr.2025.111588","url":null,"abstract":"<div><div>Voltage and reactive power management is crucial for the efficient operation of electrical distribution systems which improves power quality, reduces system losses, and maintains voltage stability, even under varying load conditions. This research introduces Modified Artificial Rabbits Optimization (MARO) to optimize the deployment and operation of Distribution-Static VAR Compensator (D-SVC). The proposed MARO incorporates two key enhancements of a Collaborative Searching Operator (CSO) to improve exploration and avoid local optima, and a Time Function (TF) mechanism to dynamically adjust the balance between exploration and exploitation during optimization. Also, an adaptive optimization model is developed that optimally allocates D-SVCs while considering hourly loading variations over a 24-hour period. Three distinct optimization scenarios are evaluated, addressing (i) minimization of energy losses, (ii) trade-off between operational savings and investment costs, and (iii) reduction of apparent power demand. Simulation results demonstrate significant improvements in cost savings and system performance considering IEEE 33 bus and large scale 85-bus distribution systems. The proposed MARO is implemented and outperforms the standard ARO and benchmark algorithms by achieving lower power losses, improved voltage stability, and higher economic savings. The algorithm demonstrated consistent performance, with lower standard deviation values across all scenarios, indicating high reliability.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"245 ","pages":"Article 111588"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143570580","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}