IEEE Open Access Journal of Power and Energy最新文献_第6页

Synchronization and Rebound Effects in Residential Loads 住宅负荷的同步与回弹效应

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-22 DOI: 10.1109/OAJPE.2024.3432389

Nora Agah;Eve Tsybina;Viswadeep Lebakula;Justin Hill;Jeff Munk;Helia Zandi

{"title":"Synchronization and Rebound Effects in Residential Loads","authors":"Nora Agah;Eve Tsybina;Viswadeep Lebakula;Justin Hill;Jeff Munk;Helia Zandi","doi":"10.1109/OAJPE.2024.3432389","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3432389","url":null,"abstract":"Increasing fuel prices and capacity investment deferral place an increasing demand for peak reduction from distribution level systems. Residential and commercial devices, such as HVAC systems and water heaters, are increasingly involved in load control programs, and their use may generate synchronization and rebound effects, such as artificial peaks caused by device optimization. While there have been concerns over device synchronization, few studies quantify the extent of this effect with numerical values. In this study, we attempt to investigate whether control efforts result in device synchronization or rebound effects. We focus on three clustering methods – Ward’s clustering, Euclidean K-means, and Density-based spatial clustering of applications with noise – to evaluate the extent of synchronization of a fleet of water heaters and HVAC systems in Atlanta, Georgia. Our findings show that synchronization and rebound effects are present in the neighborhood’s water heaters, but none were found in the HVAC systems. Further, high usage water heaters are more susceptible to synchronization and rebound effects.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"676-689"},"PeriodicalIF":3.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10606292","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources 高效估算分布式资源运行灵活性的整体方法

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-16 DOI: 10.1109/OAJPE.2024.3429390

Nikolaos Savvopoulos;Nikos Hatziargyriou;Hannu Laaksonen

{"title":"A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources","authors":"Nikolaos Savvopoulos;Nikos Hatziargyriou;Hannu Laaksonen","doi":"10.1109/OAJPE.2024.3429390","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3429390","url":null,"abstract":"The integration of Distributed Energy Resources (DER) like renewable generation into the power system has increased the need to develop effective strategies for procurement of flexibility services from these distribution network connected resources. In order to realize the flexibility potential of DERs to support flexibility needs of the system operators, the aggregated available flexibility at the interconnection point between transmission and distribution system needs to be estimated. This paper presents a novel optimization-based method to estimate the time-dependent flexibility at a primary distribution substation while accounting for the uncertainty of renewable generation. The proposed approach integrates the stochasticity of the flexibility resources using a scenario-based robust optimization and incorporates the intertemporal constraints of DER into the estimation process, ensuring a realistic representation of the flexibility capability over time. The scenarios are derived through sampling from a probability distribution of the renewable energy forecasts. This process utilizes a joint probability distribution and copulas to account for the temporal and spatial correlation among the renewable energy sources of the same region. Based on the joint hourly probability of the different scenarios a robust solution is finally obtained according to the assumed confidence level.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"325-337"},"PeriodicalIF":3.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10599483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying Stability in Inverter-Based Weak Grids in the Presence of Synchronous Condensers 量化存在同步凝汽器时基于逆变器的弱电网的稳定性

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-15 DOI: 10.1109/OAJPE.2024.3428365

Sajjad Hadavi;Nabil Mohammed;Ali Mehrizi-Sani;Behrooz Bahrani

{"title":"Quantifying Stability in Inverter-Based Weak Grids in the Presence of Synchronous Condensers","authors":"Sajjad Hadavi;Nabil Mohammed;Ali Mehrizi-Sani;Behrooz Bahrani","doi":"10.1109/OAJPE.2024.3428365","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3428365","url":null,"abstract":"The high penetration of renewable energy resources, integrated via power electronic inverters, into weak and low-inertia grids has led to the emergence of new challenges within power systems. The absence of native inertia in inverter-based resources (IBRs), in contrast to fossil-fuel-based generators, can result in sustained oscillations and instability. Synchronous Condensers (SynCons) are being considered as a reborn technology to address the challenges associated with system strengthening and inertia support in IBR-dominant power systems. Despite the well-established nature of SynCons, an additional assessment is necessary to analyze the stability of a weak grid with a high penetration of renewable resources, particularly in the presence of SynCons. This paper proposes a quantitative index for the stability analysis of a system incorporating black-boxed IBRs and SynCons. The proposed index is derived from impedance-based stability analysis. The impact of a SynCon on the proposed stability index is evaluated in a single-machine infinite-bus system, and its accuracy is further verified in an IEEE 39-bus system. Additionally, the findings are corroborated through time-domain simulation tests conducted in PSCAD/EMTDC software.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"314-324"},"PeriodicalIF":3.3,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10598181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Switching Analysis in Hybrid OHL-Submarine Cable 500-kV Transmission System OHL 和海底电缆 500 千伏混合输电系统中的开关分析

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-10 DOI: 10.1109/OAJPE.2024.3425893

Binhot P. Nababan;Kevin Marojahan Banjar-Nahor;Musa Partahi Marbun;Suwarno;Nanang Hariyanto

{"title":"Switching Analysis in Hybrid OHL-Submarine Cable 500-kV Transmission System","authors":"Binhot P. Nababan;Kevin Marojahan Banjar-Nahor;Musa Partahi Marbun;Suwarno;Nanang Hariyanto","doi":"10.1109/OAJPE.2024.3425893","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3425893","url":null,"abstract":"This study focuses on analyzing switching transients in the upcoming 500 kV Java-Bali Connection (JBC) hybrid OHL and submarine cable project using DIgSILENT PowerFactory software, based on a realistic power system model. Distributed-parameter models with constant parameters of the Bergeron model are utilized. Analysis of the traveling wave effect on the line is conducted, and the integration time step based on the time of the traveling wave is carefully selected. Statistical distributions of energization are produced by varying the circuit configuration and system short-circuit power. It is found that the Switching Withstand Voltage (SWV) during the energization process remain below 1175 kV. The probability distribution is fitted to a normal distribution, with the skewness and kurtosis shown to be skewed to the right and having a lower peak than that of the normal distribution, respectively. When a three-phase short-circuit at the line breaker is induced, the rate of rise of recovery voltage (RRRV) exceeds the IEC standard envelope if only one circuit is operating. In this contribution, switching analysis during no-load energization and de-energization in the planning stage of the mixed OHL-submarine cable is examined.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"293-302"},"PeriodicalIF":3.3,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10592028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model 通过半有限编程模型为独立直流微电网供电的光伏发电资源进行稳健的次日调度

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-09 DOI: 10.1109/OAJPE.2024.3425374

Walter Gil-González;Oscar Danilo Montoya;Luis F. Grisales-Noreña;Fabio Andrade

{"title":"Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model","authors":"Walter Gil-González;Oscar Danilo Montoya;Luis F. Grisales-Noreña;Fabio Andrade","doi":"10.1109/OAJPE.2024.3425374","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3425374","url":null,"abstract":"This study focuses on optimizing the efficient operation of standalone direct-current (DC) microgrids with photovoltaic (PV) sources using semi-definite programming (SDP) optimization. The PV source operation model is formulated as a nonlinear programming (NLP) problem with the objective of minimizing daily energy losses and reducing CO2 emissions compared to diesel generators. Transforming the NLP model into convex optimization involves a linear matrix model that combines positive semi-definite matrices with an affine space. This approach enhances robustness by incorporating uncertainties in demand and PV source power. The robust SDP model employs a min–max strategy for worst-case scenario energy management dispatch (EMD). Evaluating a 27-bus standalone DC microgrid, the SDP model outperforms random-based algorithms by achieving global optima in both objectives. Under uncertainties, the energy loss objective increases by 21.6706% with demand uncertainty, 0.3997% with PV source uncertainty, and 22.2009% with both. Meanwhile, the CO2 emissions objective increases by 11.9184%, 1.8237%, and 14.0045%, respectively. Additional simulations on an 85-node DC network confirm the efficacy of SDP in worst-case scenario EMD. All simulations utilized MATLAB’s Yalmip tool with the Mosek solver.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"446-456"},"PeriodicalIF":3.3,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Small-Signal Stability Analysis for Large-Scale Power Electronics- Based Power Systems 基于电力电子的大规模电力系统的小信号稳定性分析

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-04 DOI: 10.1109/OAJPE.2024.3421307

Liang Qiao;Yaosuo Xue;Le Kong;Fei Wang;Nupur

{"title":"Small-Signal Stability Analysis for Large-Scale Power Electronics- Based Power Systems","authors":"Liang Qiao;Yaosuo Xue;Le Kong;Fei Wang;Nupur","doi":"10.1109/OAJPE.2024.3421307","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3421307","url":null,"abstract":"This paper aims to develop a small-signal stability analysis method for large-scale power electronics-based power systems. For this purpose, the nodal admittance matrix (NAM)-based approach is recognized as the most precise technique. However, the original implementation of NAM method is tailored for the entire system, thereby correlating the matrix dimensions with the number of converters present in the system. Consequently, it becomes impractical to directly apply the original NAM method to a large-scale system. To address this challenge, this paper introduces a novel system-partitioning-based NAM approach. In this method, the large-scale system is decomposed into several subsystems first, followed by analysis at the interconnection level. The general concept, the detailed mathematical derivation, and the applications of the proposed method to a 6-converter system and a modified 140-bus NPCC system are presented. It has been validated that the proposed approach can significantly reduce computational burden while simultaneously preserving the accuracy for large-scale PE-rich power systems.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"280-292"},"PeriodicalIF":3.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10585300","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141602521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks 通过离散小波变换和人工神经网络对交流微电网中的故障进行分类和定位

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-07-03 DOI: 10.1109/OAJPE.2024.3422387

J. A. R. R. Jayasinghe;J. H. E. Malindi;R. M. A. M. Rajapaksha;V. Logeeshan;Chathura Wanigasekara

{"title":"Classification and Localization of Faults in AC Microgrids Through Discrete Wavelet Transform and Artificial Neural Networks","authors":"J. A. R. R. Jayasinghe;J. H. E. Malindi;R. M. A. M. Rajapaksha;V. Logeeshan;Chathura Wanigasekara","doi":"10.1109/OAJPE.2024.3422387","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3422387","url":null,"abstract":"The widespread integration of renewable energy sources to the main electrical grids has led to the increased adoption of AC microgrids. However, the protection of AC microgrids is a challenging task due to inverter interfaces, bidirectional power flow, multiple modes of operation and the requirement for selective phase tripping. This paper presents an innovative artificial neural network (ANN) based approach for fast and accurate identification and localization of symmetrical and asymmetrical faults occurring in the distribution networks of AC microgrids. In the proposed methodology, the three phase and the neutral currents which are sampled at either ends of the distribution lines, undergo discrete wavelet transform to extract the features exhibited during faults in the network. These features are used by two neural networks for classification and localization of the fault. To achieve high accuracy and computational efficiency, the network architectures of the ANNs are optimized, and the extracted features contain the detailed information required for ANNs to clearly distinguish different fault types and locations. A comprehensive evaluation and validation reveal that the proposed scheme accurately and efficiently classifies and localizes faults in AC microgrids. The existing research gap of fault localization in AC microgrids is also addressed through this approach.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"303-313"},"PeriodicalIF":3.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10583937","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability 在数据可用性有限的情况下估算已连接 DER 的总容量并预测馈电功率流

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-06-12 DOI: 10.1109/OAJPE.2024.3413606

Amir Reza Nikzad;Amr Adel Mohamed;Bala Venkatesh;John Penaranda

{"title":"Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability","authors":"Amir Reza Nikzad;Amr Adel Mohamed;Bala Venkatesh;John Penaranda","doi":"10.1109/OAJPE.2024.3413606","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3413606","url":null,"abstract":"By 2050, zero-carbon electric power systems will rely heavily on innumerable distributed energy resources (DERs), such as wind and solar. Accurate estimation of the aggregate connected DER capacity becomes pivotal in such a landscape. However, forecasting, power flow analysis, and optimization of feeders for operational decision-making by individually modeling each of these numerous renewables in the absence of complete information are operationally challenging and technically impractical. In response, we introduce a method to accurately estimate the aggregate capacities of the connected DERs on distribution feeders and a near-term forecasting method. Our proposal comprises: 1) ovel deep learning-based architecture with a few convolutional neural network and long short-term memory (CNN-LSTM) modules to represent feeder connected aggregate models of DERs and loads and associated training algorithms; 2) method for estimating aggregate capacities of connected renewables and loads; and 3) method for short-term (hourly) high-resolution forecasting. This step of estimation of the aggregate capacities of connected DERs, is a sequel to solving feeder hosting capacity problem. The method is tested using a North American utility feeder data, achieving an average accuracy of 95.56% for forecasting aggregate load power, 93.70% for feeder flow predictions, and 97.53% for estimating the aggregate capacity of DERs.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"266-279"},"PeriodicalIF":3.3,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10555337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141435288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge 无系统知识配电网的最小干扰在线电压调节

IF 3.3

IEEE Open Access Journal of Power and Energy Pub Date : 2024-06-11 DOI: 10.1109/OAJPE.2024.3412120

Hamad Alduaij;Yang Weng

{"title":"Online Voltage Regulation With Minimum Disturbance for Distribution Grid Without System Knowledge","authors":"Hamad Alduaij;Yang Weng","doi":"10.1109/OAJPE.2024.3412120","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3412120","url":null,"abstract":"Distribution systems have limited observability, as they were a passive grid to consume power. Nowadays, increasing distributed energy resources turns individual customers into “generators,” and two-way power flow between customers makes the grid prone to power outages. This calls for new control methods with performance guarantees in the presence of limited system information. However, limited system information makes it difficult to employ model-based control, making performance guarantees difficult. To gain information about the model, active learning methods propose to disturb the system consistently to learn the nonlinearity. The exploration process also introduces uncertainty for further outages. To address the issue of frequent perturbation, we propose to disturb the system with decreasing frequency by minimizing exploration. Based on such a proposal, we superposed the design with a physical kernel to embed system non-linearity from power flow equations. These designs lead to a highly robust adaptive online policy, which reduces the perturbation gradually but monotonically based on the optimal control guarantee. For extensive validation, we test our controller on various IEEE test systems, including the 4-bus, 13-bus, 30-bus, and 123-bus grids, with different penetrations of renewables, various set-ups of meters, and diversified regulators. Numerical results show significantly improved voltage control with limited perturbation compared to those of the state-of-the-art data-driven methods.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"11 ","pages":"520-531"},"PeriodicalIF":3.3,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10552797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142368492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive Online Transient Stability Assessment for Enhancing Efficiency 用于提高效率的预测性在线瞬态稳定性评估

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2024-04-29 DOI: 10.1109/OAJPE.2024.3395177

Rui Ma;Sara Eftekharnejad;Chen Zhong

引用次数: 0