Licheng Wang , Chendong Su , Bomiao Liang , Changsen Feng , Youbing Zhang
{"title":"Security constrained optimal power system dispatch considering stochastic power facility failures under extreme precipitation","authors":"Licheng Wang , Chendong Su , Bomiao Liang , Changsen Feng , Youbing Zhang","doi":"10.1016/j.epsr.2024.111214","DOIUrl":"10.1016/j.epsr.2024.111214","url":null,"abstract":"<div><div>Due to climate change, power systems are facing increasingly severe precipitation events. These events can lead to waterlogging-induced failures in electricity facilities, posing significant risks to the stability and reliability of power systems. Therefore, it is essential to establish a waterlogging-induced stochastic power facility outage model along with an appropriate power system scheduling strategy against extreme precipitation events. Based on the geographical information and a specific rainfall scenario, the rainstorm waterlogging model is constructed in this paper to calculate the time-varying water depths of each geographic grid in different regions across a power system. By considering all possible rainfall scenarios, the probabilities of waterlogging-induced failures of electricity power facilities can be further obtained through statistical analysis. On this basis, typical failure scenarios can be extracted from the initial scenario library and then integrated into a stochastic unit commitment (UC) method for power system dispatch. Both load-shedding and system operation costs are minimized in this method to mitigate the possible adverse effects of extreme precipitation events. The effectiveness of the proposed method is verified by case studies based on a modified IEEE 24-bus test system. Simulation results demonstrate superiorities in both economy and security over traditional ones under extreme precipitation events.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111214"},"PeriodicalIF":3.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655725","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}
Weirong Qian , Wenbo Li , Pengcheng Sha , Junbo Deng , Guanjun Zhang , Yuhang Shi , Dingge Yang , Hao Wu , Yanhua Han
{"title":"Mono-pole blocking accident analysis caused by inaccurate measurement of optical CT in ±800 kV UHVDC transmission system under lightning strike","authors":"Weirong Qian , Wenbo Li , Pengcheng Sha , Junbo Deng , Guanjun Zhang , Yuhang Shi , Dingge Yang , Hao Wu , Yanhua Han","doi":"10.1016/j.epsr.2024.111212","DOIUrl":"10.1016/j.epsr.2024.111212","url":null,"abstract":"<div><div>The ultra-high voltage direct current (UHVDC) power transmission systems usually transmit a capacity of 6-8 GW, their stability and reliability are of vital importance to the large power grid. This paper analyses a mono-pole blocking accident caused by the inaccurate measurement of optical current transformer (OCT) when the pole line of Shaanbei-Wuhan ±800 kV UHVDC transmission system was struck by lightning. Combined with electromagnetic transient simulation of the UHVDC transmission system, digital simulation and in-plant testing of the optical CT, a comprehensive understanding of the factors contributing to the accident is achieved. It reveals that optical CT measurement anomalies were significant contributors to the misoperation of protective relays, which led to the mono-pole blocking accident. Based on the simulations of optical CT under high peak currents and high di/dt conditions caused by lightning strike, the importance of proper setting of demodulation algorithm parameters in optical CT to avoid inaccurate measurements is emphasized. Through in-plant testing and steady state current accuracy verification, the reasonableness of demodulation parameters is verified. Simulation results illustrate the challenges in measuring very fast transient current accurately, which are the premise and guarantee of stable operation of UHVDC transmission systems under lightning strike.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111212"},"PeriodicalIF":3.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655694","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":"A novel analytical method for optimal management of network congestion caused by electric vehicle charging stations","authors":"Mohmmad Hossein Atazadegan , Jaber Moosanezhad , Mustafa Habeeb Chyad , Hayder Oleiwi Shami , Jingyu Zhang","doi":"10.1016/j.epsr.2024.111203","DOIUrl":"10.1016/j.epsr.2024.111203","url":null,"abstract":"<div><div>Congestion management with the emergence of electric vehicle charging stations (EVCSs) can be considered as one of the challenges facing the network operator, whose incorrect management causes the price difference to increase and creates market power. In general, the effect of EVCSs on the congestion rent (CR) of grid lines has been studied in a few studies, which are considered a research gap. In this paper, the share of each EVCS to the variations in line CR and total congestion rent (TCR) is precisely determined. Also, the uncertainty regarding the capacity of the EVCSs is considered to make the problem more real. In addition, the share of other factors as well as marginal, expensive, and cheap units, grid loads, and congested lines are calculated on the CR of grid lines. The proposed method is divided into two parts, in which the share of the five factors to variations in the buses’ locational marginal price (LMP) and the flow of lines is determined in part 1. In part 2, the share of EVCSs to variations in the CR of lines and TCR is computed. The proposed method is implemented using the Kahn-Tucker condition method. This approach is implemented on an IEEE 24-bus system. The analysis of results indicate that the congestion of network lines in the best and worst cases of placing 3 EVCSs in the network increases by 0.0013 % (0.65 $/h) and 0.1 % (48.94 $/h), respectively. Therefore, determining the appropriate placement of the EVCS is of particular importance.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111203"},"PeriodicalIF":3.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655695","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}
Miao Zhang , Guowei Xiao , Jianhang Lu , Yixuan Liu , Haotian Chen , Ningrui Yang
{"title":"Robust load feature extraction based secondary VMD novel short-term load demand forecasting framework","authors":"Miao Zhang , Guowei Xiao , Jianhang Lu , Yixuan Liu , Haotian Chen , Ningrui Yang","doi":"10.1016/j.epsr.2024.111198","DOIUrl":"10.1016/j.epsr.2024.111198","url":null,"abstract":"<div><div>Load forecasting, as a crucial component of the electricity market, plays a significant role in ensuring the secure operation and rational planning of the power grid. However, as the power system becomes increasingly intricate, the demands on load forecasting techniques have escalated. Consequently, to mitigate the errors in short-term load forecasting (STLF) caused by uncertainty factors and to accommodate daily forecasting under abnormal electricity load conditions, this paper proposes a hybrid load forecasting model that combines an improved Secondary Variational Mode Decomposition (SVMD) algorithm with the Informer model. Employing electricity load data from the Panama context, the data is divided into four distinct experimental cases. The outcomes manifest that in contrast to the baseline model, the proposed approach engenders a minimal reduction of 15.08%, 12.95%, and 13.21% in Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE), respectively. Furthermore, supplementary experimental results demonstrate that the model exhibits strong robustness.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111198"},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655691","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}
Luiz F. R. Monteiro , Yuri R. Rodrigues , A. C. Zambroni de Souza
{"title":"Empowering microgrids for sustainable transportation electrification: A comprehensive methodology for resource adequacy and grid resilience","authors":"Luiz F. R. Monteiro , Yuri R. Rodrigues , A. C. Zambroni de Souza","doi":"10.1016/j.epsr.2024.111176","DOIUrl":"10.1016/j.epsr.2024.111176","url":null,"abstract":"<div><div>Transportation electrification has emerged as a pivotal solution to mitigate carbon emissions from the transportation sector. However, this shift towards electric vehicles (EVs) presents significant challenges for municipalities and utilities, particularly in ensuring the electrical grid's capacity to meet the increased demand. In this sense, this work introduces a novel methodology to address these challenges by 1) quantifying the impact of EVs on the hosting capacity (HC) of residential microgrids (MGs), and 2) proposing a novel control strategy to meet grid resource adequacy requirements under high levels of transportation electrification. For this, first, a simplified approach to quantify the overall demand in residential MGs, accounting for the influence of EVs and typical demand profiles based on real-world data from municipalities and utility systems is developed. Second, a new frequency controller is introduced, utilizing Distributed Phasor Measurement Units (D-PMU) and mobile energy sources (MES) to ensure compliance with resource adequacy requirements under high levels of EVs penetration. The proposed controller takes advantage of the low latency and high-resolution capabilities of D-PMU technology to enable the harnessing of MES, preventing critical frequency nadir events, and improving the overall system resource adequacy performance under both transient and steady-state analysis. Real-world data from Seattle, WA, USA, is used in the developed case studies, and comparative analysis between traditional SCADA, state-of-the-art D-PMU-based controller, and the proposed controller is presented. The obtained results indicate that significant improvements are achieved by the proposed controller, empowering utilities to ensure reliable operations amidst transportation electrification challenges imposed on resource adequacy.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111176"},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655652","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":"Optimal dispatch scheme considering system operational flexibility","authors":"Kai Sun , Dahai Zhang , Jiye Wang , Wenbo Mao","doi":"10.1016/j.epsr.2024.111217","DOIUrl":"10.1016/j.epsr.2024.111217","url":null,"abstract":"<div><div>To enhance the system's capacity to manage emergencies and foster the efficient utilization of newly generated energy, this paper introduces a redefined concept of system operation flexibility and proposes a two-stage optimized economic dispatch model. This model is tailored to ensure the system's operational flexibility. In this method, net load is pinpointed as the primary driver of flexibility demand, and a data-driven approach is employed to capture the uncertainties associated with net load across various risk levels. As flexibility supplier, conventional units work in tandem to optimize their operating points, fulfilling flexibility demand while adhering to the Do Not Exceed (DNE) baseline, thereby ensuring that system flexibility remains within safe limits. A case study on the modified SG-126 bus system demonstrates that the proposed methodology effectively highlights flexibility shortfalls and validates its efficiency in terms of cost and inter-regional coordination.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111217"},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655693","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":"Optimal design configuration of grading ring for polymeric insulator under different environmental conditions","authors":"Pouya Salehi, Amir Khorsandi, Behrooz Vahidi","doi":"10.1016/j.epsr.2024.111189","DOIUrl":"10.1016/j.epsr.2024.111189","url":null,"abstract":"<div><div>Polymeric insulators play a crucial role in power transmission lines. To ensure safe and reliable operation at High Voltage (HV), they are often equipped with single or double grading rings to uniformly distribute the electric field and voltage along the creepage distance. This study investigates the impact of optimal grading ring configurations on electric field distribution using the Finite Element Method (FEM). In addition, an adaptable method for achieving optimal grading ring design is proposed. Numerical results demonstrate that employing the Nelder-Mead (NM) optimization algorithm helps determine the ideal configuration for grading ring material, dimensions, and location to achieve uniform electric field distribution compared to insulators without grading rings or with original designs. This method has also been adapted for different environmental conditions, including pollution, water droplets, and icing conditions.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111189"},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655734","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":"Hybrid energy storage capacity optimization based on VMD-SG and improved Firehawk optimization","authors":"Zejia Zhou , Zengqiang Ma , Tianming Mu","doi":"10.1016/j.epsr.2024.111218","DOIUrl":"10.1016/j.epsr.2024.111218","url":null,"abstract":"<div><div>Due to the hybrid energy storage system(HESS) in assisting the grid connection of Photovoltaic(PV) energy, the pursuit of smooth effect leads to increased system costs. In this paper, a capacity optimization method considering grid-connected constraints and dynamic balance of energy storage economy is proposed. Firstly, by combining variational mode decomposition(VMD) and Savitzky-Golay filtering method(SG), the photovoltaic power signal is decomposed and reconstructed to minimize energy storage usage while meeting grid connection standards. The reconstructed compensation power is used as the data input for cost analysis. Secondly, considering the energy storage SOC and power constraints, an economic capacity cost model is constructed. Then, chaotic mapping and variable spiral search strategy are introduced to improve the Firehawk optimization algorithm(IFHO), and the optimized capacity allocation scheme is obtained by solving the capacity allocation model. Finally, by analyzing the power data of a photovoltaic energy storage demonstration project in typical days of four seasons in Hebei Province, it is verified that the strategy is effective and economic.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111218"},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655692","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":"Distributed minimum spanning tree approach for critical load restoration using microgrid formation in resilient distribution systems","authors":"Hooman Saki , Ali Zangeneh , Jamshid Aghaei","doi":"10.1016/j.epsr.2024.111186","DOIUrl":"10.1016/j.epsr.2024.111186","url":null,"abstract":"<div><div>Power grid is a vital infrastructure for society that can be severely damaged when facing high-impact and low-probability (HILP) events. Following these events, the power supply to critical infrastructures, known as critical loads (CLs), is often interrupted. This interruption can result in substantial financial, social, and security damage. Therefore, it is crucial to quickly restore de-energized CLs based on their priority and importance to society. This paper presents a distributed heuristic algorithm using a Distributed Minimum Spanning Tree (DMST) approach to restore CLs. The proposed algorithm offers several advantages over centralized optimization solutions, including robustness to single-point failures, scalability to large-scale networks, and reduced computational burden. In this algorithm, each controllable distributed generator (CDG), which has a restoration ancillary service contract with the distribution system, individually forms an islanded microgrid to restore CLs. The restoration process aims to maximize the number of restored CLs, enhance post-restoration reliability, and adjust restoration times. The effectiveness of the proposed approach is demonstrated through several case studies on the IEEE 123-bus test system. The results show that the algorithm successfully restores the maximum number of CLs.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111186"},"PeriodicalIF":3.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592820","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}
Yuxiu Zang , Jia Cui , Shunjiang Wang , Yan Zhao , Weichun Ge , Chaoran Li
{"title":"Low-carbon economic optimization strategy for industrial loads in parks considering source-load-price multivariate uncertainty","authors":"Yuxiu Zang , Jia Cui , Shunjiang Wang , Yan Zhao , Weichun Ge , Chaoran Li","doi":"10.1016/j.epsr.2024.111200","DOIUrl":"10.1016/j.epsr.2024.111200","url":null,"abstract":"<div><div>A low-carbon economic optimization method is proposed for industrial loads in parks considering multivariate uncertainty. Model of dynamic load node carbon intensity is proposed considering the uncertainty of clean energy and dynamic conventional units carbon intensity based on system currents. The robustness is improved based on multi-interval uncertainty set. The gap is filled by hybrid copula model with Generalized Autoregressive Conditional Heteroskedasticity (GARCH) prices in the uncertainty model. The GARCH is used to built the marginal distribution function of prices, and a hybrid copula model is proposed to obtain the joint probability density function based on the weights calculated by Euclidean distance. The LNCI probability distributions of the regulation potential of loads are proposed with the virtual energy storage and the virtual power model to improve the descriptive ability of uncertainty based on the expansion and contraction functions. Finally, the typical scenarios are extracted based on Monte Carlo and Wasserstein measures. The Column sum Constraint Generation algorithm and strong duality theory are used to get the robust-stochastic optimization. The method proposed in the paper has a positive effect on enterprises to rationalize their production schedules, reduce electricity and carbon emissions costs and increase the revenue from participating in grid regulation.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"239 ","pages":"Article 111200"},"PeriodicalIF":3.3,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592819","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}