Electric Power Systems Research最新文献_第6页

Capacity optimization of battery and thermal energy storage systems considering system energy efficiency and user comfort

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-08 DOI: 10.1016/j.epsr.2025.111480

Yuanyuan Chen , Shaobing Yang , Yibo Wang , Jianhong Guo , Wanqi Zhang , XiangYan Yang , Mingli Wu

{"title":"Capacity optimization of battery and thermal energy storage systems considering system energy efficiency and user comfort","authors":"Yuanyuan Chen , Shaobing Yang , Yibo Wang , Jianhong Guo , Wanqi Zhang , XiangYan Yang , Mingli Wu","doi":"10.1016/j.epsr.2025.111480","DOIUrl":"10.1016/j.epsr.2025.111480","url":null,"abstract":"<div><div>This study explores the configuration challenges of Battery Energy Storage Systems (BESS) and Thermal Energy Storage Systems (TESS) within DC microgrids, particularly during the winter heating season in northwestern China. A novel two-layer optimization algorithm is proposed to effectively coordinate system configuration and operation, achieving optimal multi-objective outcomes that enhance energy efficiency and user comfort. An energy efficiency assessment model for power loss in DC microgrids is developed, alongside models for evaluating user electrical and thermal comfort under demand response (DR) scenarios. The enhanced NSGA-II algorithm, integrated with the Gurobi solver, demonstrates a 50 % reduction in solution time compared to traditional optimization methods. Results indicate that the integration of TESS with BESS leads to a 61.57 % reduction in BESS capacity requirements while improving the Cost Savings Ratio (CSR) by 2.43 times, System Energy Efficiency (SEE) by 12.46 %, and User Comfort Level (UCL) by 3.75 %. Sensitivity analysis reveals that adjusting grid connection limits can enhance CSR by 10.65 %, and modifications to thermal balance can improve CSR by 7.68 %. These findings provide essential insights for the design of efficient, cost-effective, and user-friendly DC microgrids, contributing to the advancement of smart grid technologies in various energy environments.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111480"},"PeriodicalIF":3.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350201","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

Short-term electric load forecasting based on series decomposition and Meta-Informer algorithm

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-08 DOI: 10.1016/j.epsr.2025.111478

Lianbing Li , Xingchen Guo , Ruixiong Jing

{"title":"Short-term electric load forecasting based on series decomposition and Meta-Informer algorithm","authors":"Lianbing Li , Xingchen Guo , Ruixiong Jing","doi":"10.1016/j.epsr.2025.111478","DOIUrl":"10.1016/j.epsr.2025.111478","url":null,"abstract":"<div><div>Accurate electricity load forecasting is crucial for the effective development of power management strategies. However, achieving both forecasting accuracy and efficiency is often challenging. This paper presents a novel framework that integrates Seasonal-Trend decomposition using Loess (STL), clustering, and meta-learning for electricity load forecasting. First, the local regression-based STL method decomposes the electricity load data into trend, seasonal, and residual components. Next, data slicing and clustering are performed based on seasonal and residual patterns. Using the Local Search k-means++ with Foresight(FLS++) clustering method, we expand the clustered data to generate multiple training tasks, which are then trained using the meta-learning-based Meta-Informer forecasting model. Subsequently, we assess the smoothness of the seasonal and residual testing tasks using the Standard Differenced Smoothness (SDS) metric. Adaptive filtering processes the data, and the model is fine-tuned for accurate predictions. Additionally, we employ a BiGRU model to forecast the trend component, which is summed and reconstructed to yield the final prediction results. Experimental results demonstrate that our approach effectively enhances forecasting accuracy in electricity load prediction.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111478"},"PeriodicalIF":3.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350571","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

Application of electromagnetic field expressions of accelerating charges to obtain electromagnetic fields of engineering return stroke models

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-08 DOI: 10.1016/j.epsr.2025.111429

Vernon Cooray , Gerald Cooray

引用次数: 0

MFformer: An improved transformer-based multi-frequency feature aggregation model for electricity load forecasting

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-08 DOI: 10.1016/j.epsr.2025.111492

Hao Tong, Jun Liu

{"title":"MFformer: An improved transformer-based multi-frequency feature aggregation model for electricity load forecasting","authors":"Hao Tong, Jun Liu","doi":"10.1016/j.epsr.2025.111492","DOIUrl":"10.1016/j.epsr.2025.111492","url":null,"abstract":"<div><div>Accurate electric load forecasting is crucial for the effective operation and planning of power systems. To address issues such as the weak comprehensive prediction capability of power load forecasting models across the entire cycle and insufficient feature extraction of load volatility, an improved Transformer framework integrated with a multi-frequency feature model, MFformer (Multi-Frequency Transformer), is proposed. This model utilizes a multi-level decomposition hybrid framework with seasonal and trend feature encoders to decompose periodic and trend components. Key frequency points are selected based on power spectral density, with main frequency band information captured using a self-attention mechanism. An MLP layer hierarchically extracts low-frequency trend information, while wavelet decomposition combined with self-attention explores high-frequency random components. The final load prediction curve is reconstructed from these frequency bands. An experiment on the load dataset of a thermal power unit in Henan demonstrated that the model outperforms others in both mid- to long-term and short-term prediction accuracy, across various comparative models and forecast horizons, this model demonstrates average reductions in mean MAE and MSE errors of 27.70 % and 14.68 %, respectively.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111492"},"PeriodicalIF":3.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350202","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

Design of a novel cascade PI-(1+FOPID) controller to enhance load frequency control performance in diverse electric power systems

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-08 DOI: 10.1016/j.epsr.2025.111488

Jahanzeab Hussain , Runmin Zou , Pawan Kumar Pathak , Awais Karni , Samina Akhtar

{"title":"Design of a novel cascade PI-(1+FOPID) controller to enhance load frequency control performance in diverse electric power systems","authors":"Jahanzeab Hussain , Runmin Zou , Pawan Kumar Pathak , Awais Karni , Samina Akhtar","doi":"10.1016/j.epsr.2025.111488","DOIUrl":"10.1016/j.epsr.2025.111488","url":null,"abstract":"<div><div>Frequency deviations and tie-line power fluctuations in the power system occur due to mismatches between power generation and varying consumption patterns. Load Frequency Control (LFC) mechanism is widely acknowledged for its role in managing these issues. The adoption of a suitable secondary controller for LFC enhances its overall performance. In this context, this paper presents a unique PI-(1+FOPID) cascade controller designed to successfully handle the challenges associated with LFC. The suggested controller combines the effectiveness of a conventional proportional-integral (PI) controller with a fractional-order PID (FOPID) controller. The Wild Horse Optimizer (WHO) is utilized to fine tune the parameters of the suggested controller based on the integral time absolute error (ITAE) criterion. The suggested WHO-based PI-(1+FOPID) cascade controller approach is tested on four different power systems: a two-area non-reheated thermal power system, a two-area non-reheated thermal power system with governor dead band (GDB) nonlinearity, a two-area multi-source power system, and a three-area hydro-thermal power system with generation rate constraints (GRC). A comparative analysis against other relevant recent approaches is conducted for each test system. The results of this comparative analysis demonstrate the greater performance of the suggested approach in reducing ITAE, settling time, overshoot, and undershoot of frequency deviations and tie-line power fluctuations.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111488"},"PeriodicalIF":3.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350573","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 enhancement method ensuring robust passive impedance of LCL-type grid connected converter

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-07 DOI: 10.1016/j.epsr.2025.111486

Gengning Ying , Jun Zeng , Minhai Wu , Ningrui Yang , Jie Song , Junfeng Liu , Zhixing Yan

{"title":"An enhancement method ensuring robust passive impedance of LCL-type grid connected converter","authors":"Gengning Ying , Jun Zeng , Minhai Wu , Ningrui Yang , Jie Song , Junfeng Liu , Zhixing Yan","doi":"10.1016/j.epsr.2025.111486","DOIUrl":"10.1016/j.epsr.2025.111486","url":null,"abstract":"<div><div>Voltage source converters are essential in renewable energy power systems. For <em>LCL</em>-type voltage source converters, the stable operation of itself can be ensured through proper active damping control. However, the impedance interaction with a weak grid can further threaten the stability. To overcome this, shaping a passive output impedance of a converter is an effective and promising solution for power system to integrate more renewables energies. Traditional ideal passivity shaping methods have limited margins and can be sensitive to time delays or parameter fluctuations, posing instability risks in practical operation. To this end, a passivity enhancement method is proposed to ensure a robust passive output impedance of the converter in this article. It can be used to compensate for the vulnerable region of the passive output impedance. First, the risk of ideal passivity control is analyzed. Next, the principle and structure of the passivity enhancement method are presented. Furthermore, the parameter design methods and procedure are studied, followed by a practical design example. Finally, the effectiveness of the proposed method is verified by experimental results.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111486"},"PeriodicalIF":3.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143348515","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 “Enhancement of Power Quality based on Dynamic Voltage Restorer Matrix Inverter - Sliding Mode Control Scheme” [Electric Power Systems Research volume 241 (2025) 111408]

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-06 DOI: 10.1016/j.epsr.2025.111500

Abdul Hameed Soomro , Abdul Sattar Larik , Mukhtiar Ahmed Mahar , Anwer Ali Sahito , Mohsin Ali Koondhar , Yun-Su Kim , Zuhair Muhammed Alaas , Ezzeddine Touti , M.M.R. Ahmed

引用次数: 0

Frequency spectra features of electric field waveforms produced by close and middle-range compact intracloud discharges and their discrimination from cloud-to-ground lightning

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-06 DOI: 10.1016/j.epsr.2025.111498

G. Karnas , G. Maslowski , V.A. Rakov

{"title":"Frequency spectra features of electric field waveforms produced by close and middle-range compact intracloud discharges and their discrimination from cloud-to-ground lightning","authors":"G. Karnas , G. Maslowski , V.A. Rakov","doi":"10.1016/j.epsr.2025.111498","DOIUrl":"10.1016/j.epsr.2025.111498","url":null,"abstract":"<div><div>This paper is aimed at extending the studies already presented in the literature for distant type of compact intracloud lightning discharges and their identification. Several electric field recordings of close and middle–range compact intracloud lightning discharges in the bandwidth from 0.5 Hz – 3 MHz were processed to identify specific features of their frequency spectra. Spectrograms of narrow bipolar pulses were compared with fast Fourier transform results obtained for typical electric field signatures of cloud-to-ground lightning to find their unique features. Electric field data from the Kennedy Space Center, Florida, and Lightning Observatory in Rzeszow, Poland, were used for analysis. Comparison of spectrograms for close compact intracloud discharges and cloud-to-ground lightning revealed high level of similarity, mainly because their measured lightning electric fields were dominated by the electrostatic component. Hence, it was impossible to discriminate between those two types of lightning using Fourier transform-based methods found in the literature. An alternative analysis applying short-time Fourier transform was proposed. It showed a better identification performance than the ordinary Fourier transform. The newly developed method can be implemented in lightning location systems to improve their accuracy in identification of such lightning events that can adversely affect the performance of power systems.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111498"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143264391","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

Generalized dynamic transient model for MTDC networks covering multiple topologies and contingencies

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-06 DOI: 10.1016/j.epsr.2025.111469

Carlos Wijnakker, Francisco Arredondo, José Luis Rodríguez-Amenedo, Silvia Delgado-Sánchez, Santiago Arnaltes

{"title":"Generalized dynamic transient model for MTDC networks covering multiple topologies and contingencies","authors":"Carlos Wijnakker, Francisco Arredondo, José Luis Rodríguez-Amenedo, Silvia Delgado-Sánchez, Santiago Arnaltes","doi":"10.1016/j.epsr.2025.111469","DOIUrl":"10.1016/j.epsr.2025.111469","url":null,"abstract":"<div><div>This paper proposes a versatile and modular Multi-Terminal High Voltage Direct Current (MTDC) network model with a compact matrix formulation. There will be a growing deployment of MTDC grids, necessitating the development of novel tools and models for their analysis and simulation. The first contribution of the paper is the proposal of a new MTDC network model using graph theory. The model preserves the dynamics of the grid and is flexible to adapt to different topologies and sizes. The second contribution is the implementation of the proposed MTDC model in an integrated software framework for the dynamic simulation, which incorporates an automatic flat-start initialization from an AC/DC power flow. The tool is developed in Matlab/Simulink and it includes the possibility to simulate various types of contingencies including different types of short-circuits, line clearances and converter outages, both for monopolar and bipolar DC networks. This tool is designed for time domain simulation and small-signal analysis of systems, including MTDC networks, with the objective of studying the dynamics of novel converter models and control strategies. The results demonstrate the functionalities of the proposed MTDC network model and simulation tool, highlighting the importance of network dynamics in simulations with power electronic converters.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111469"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143264392","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

Fault detection in low voltage DC microgrid utilizing Tucker's congruence coefficient

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2025-02-06 DOI: 10.1016/j.epsr.2025.111411

Chetan Srivastava, Manoj Tripathy

{"title":"Fault detection in low voltage DC microgrid utilizing Tucker's congruence coefficient","authors":"Chetan Srivastava, Manoj Tripathy","doi":"10.1016/j.epsr.2025.111411","DOIUrl":"10.1016/j.epsr.2025.111411","url":null,"abstract":"<div><div>Widespread adoption of dc microgrid with the revolutionary development of power electronic devices require prompt fault identification and isolation. Contrary to the ac microgrid the dc microgrid exhibits high fault transients, if not addressed in time, may lead to significant damage to converters. Local protection methods have a constraint in selectivity and require complex threshold settings. Any alterations in the system structure will lead to catastrophic failure. The current-based differential scheme offers better selectivity but doesn't provide a reliable solution for high-impedance faults. The chance of communication failure makes the scheme more vulnerable. This work considers only the current parameter and utilizes Tucker's congruence coefficient at superimposed current at line ends to overcome such limitations and derive fault logic. The relay communication index detects and addresses any communication link loss issue at the relay node. The scheme is fast, reliable, and offers high selectivity and sensitivity even for high impedance faults where the line end current direction doesn't alter upon fault inception. The proposed technique is implemented for different operating scenarios, including dynamic loading, time synchronization issues, and sensor sensitivity concerns. Its performance is also tested for simultaneous faults. The scheme's capability is examined to discriminate between instantaneous islanding and fault conditions. No additional element is required for tripping logic. The ring-type DC microgrid architecture is used for the study, and the scheme's performance is investigated using the data acquired from PSCAD/EMTDC software.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"243 ","pages":"Article 111411"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143264442","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