{"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":null,"pages":null},"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}
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":null,"pages":null},"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}
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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
{"title":"Predictive Online Transient Stability Assessment for Enhancing Efficiency","authors":"Rui Ma;Sara Eftekharnejad;Chen Zhong","doi":"10.1109/OAJPE.2024.3395177","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3395177","url":null,"abstract":"Online transient stability assessment (TSA) is essential for the reliable operation of power systems. The increasing deployment of phasor measurement units (PMUs) across power systems provides a wealth of fast, accurate, and detailed transient data, offering significant opportunities to enhance online TSA. Unlike conventional data-driven methods that require large volumes of transient PMU data for accurate TSA, this paper develops a new TSA method that requires significantly less data. This data reduction is enabled by generative and adversarial networks (GAN), which predict voltage time-series data following a transient event, thereby minimizing the need for extensive data. A classifier embedded in the generative network deploys the predicted data to determine the stability of the system. The developed method preserves the temporal correlations in the multivariate time series data. Hence, compared to the state-of-the-art methods, it is more accurate using only one sample of the measured PMU data and has a shorter response time.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10510341","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140880710","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}
Imtiaz Parvez;Maryamossadat Aghili;Hugo Riggs;Aditya Sundararajan;Arif I. Sarwat;Anurag K. Srivastava
{"title":"A Novel Authentication Management for the Data Security of Smart Grid","authors":"Imtiaz Parvez;Maryamossadat Aghili;Hugo Riggs;Aditya Sundararajan;Arif I. Sarwat;Anurag K. Srivastava","doi":"10.1109/OAJPE.2024.3393971","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3393971","url":null,"abstract":"Bidirectional wireless communication is employed in various smart grid components such as smart meters and control and monitoring applications where security is vital. The Trusted Third Party (TTP) and wireless connectivity between the smart meter and the third party in the key management-based encryption techniques for the smart grid are expected to be totally trustworthy and dependable. In a wired/wireless medium, however, a man-in-the-middle may seek to disrupt, monitor and manipulate the network, or simply execute a replay attack, revealing its vulnerability. Recognizing this, this study presents a novel authentication management (model) comprised of two layer security schema. The first layer implements an efficient novel encryption method for secure data exchange between meters and control center with the help of two partially trusted simple servers (constitutes the TTP). In this setting, one server handles the data encryption between the meter and control center/central database, and the other server administers the random sequence of data transmission. The second layer monitors and verifies exchanged data packets among smart meters. It detects abnormal packets from suspicious sources. To implement this node-to-node authentication, One class support vector machine algorithm is proposed which takes advantages of the location information as well as the data transmission history (node identification, packet size, and data transmission frequency). This schema secures data communication, and imposes a comprehensive privacy throughout the system without considerably extending the complexity of the conventional key management scheme.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10508893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140902521","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}
{"title":"Novel VSC-Based STATCOM Model Based on Dynamic Phasors for Unbalanced Distribution Networks","authors":"Jesus H. Sanchez;Luis M. Castro","doi":"10.1109/OAJPE.2024.3392190","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3392190","url":null,"abstract":"This paper presents the dynamic phasor-based modeling of three-phase voltage-source converters (VSC) operating as static var compensators (STATCOM). The generalized averaging theory is used to represent the DC, 1st, and 2nd harmonics of the converter fundamental response. The VSC model is characterized by the use of basic power system elements. On the AC side, it consists of three wye-connected, single-phase complex transformers whose taps replicate the AC-to-DC energy conversion of the converter commanded by the modulating variables. On the DC side, a capacitor is connected in parallel with a current source to reproduce the \u0000<inline-formula> <tex-math>$2{omega }$ </tex-math></inline-formula>\u0000 effects of the network unbalances. Dynamic controllers based on symmetrical components were developed for the VSC to operate as STATCOM. All these aspects distinguish the proposed VSC model from the switching-based model (SBM) and averaged-value model (AVM). The model’s dynamic behavior was validated by comparing it to the SBM and AVM, using a five-bus, three-phase network taken from Simulink/Simscape Electrical. Root mean square errors were smaller than 5.56% and 5.53%, with the new model being 43 and 17 times more computationally efficient than the SBM and AVM, respectively. The IEEE 34-bus test system with two STATCOM was also studied to verify the model practicality. Short-circuit faults were assessed to prove that both STATCOM suitably perform under unbalanced operating conditions.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10506591","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141078846","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}
{"title":"Detailed Nonlinear Modeling and High-Fidelity Parallel Simulation of MMC With Embedded Energy Storage for Wind Farm Grid Integration","authors":"Bingrong Shang;Ning Lin;Venkata Dinavahi","doi":"10.1109/OAJPE.2024.3392246","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3392246","url":null,"abstract":"Integration of renewable energy is increasingly prevalent, yet its stochasticity may compromise the stability of the power system. In this paper, a high-voltage dc (HVDC) link model based on the modular multilevel converter with embedded energy storage (MMC-EES) is presented and, utilizing the massively parallel computing feature of the graphics processing unit (GPU), its efficacy in compensating a varying wind energy generation is studied. Constant power is oriented in the inverter control by incorporating a DC-DC converter with EES into its submodules. High-fidelity electromagnetic transient modeling is conducted for insights into converter control and energy management. A fully iterative solution is carried out for the nonlinear model for high accuracy. Since the sequential data processing manner of the central processing unit (CPU) is prone to an extremely long simulation following an increase of component quantity with even one order of magnitude, the massively concurrent threading of the GPU is exploited. The computational challenges posed by the complexity of the MMC circuit are effectively tackled by circuit partitioning which separates nonlinearities. In the meantime, components of an identical attribute are designed as one kernel despite inhomogeneity. The proposed modeling and computing method is applied to a multi-terminal DC system with wind farms, and significant speedups over CPU-based simulation are achieved, with the accuracy validated by the offline simulation tool PSCAD.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10506689","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140813887","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}
{"title":"A Comparative Analysis of Prominent Virtual Synchronous Generator Strategies Under Different Network Conditions","authors":"Chalitha Liyanage;Inam Nutkani;Lasantha Meegahapola","doi":"10.1109/OAJPE.2024.3384354","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3384354","url":null,"abstract":"The virtual synchronous generator (VSG) is the most widely used grid-forming inverter (GFMI) control technique. The VSG can provide enhanced ancillary services and improved dynamic response compared to conventional synchronous generators and grid-following inverters (GFLIs). Developing an improved understanding of VSG strategies is vital to deploy them in the appropriate context in power grids. Therefore, this paper provides a rigorous comparative performance analysis of prominent VSG strategies (e.g., ISE-Lab, synchronverter, Kawasaki Heavy Industries (KHI) model, and power synchronisation control (PSC)) under different network conditions (e.g., X/R ratios, network faults, and load types). Dynamic simulation studies have been carried out using a simplified test system to assess the performance of VSG models. Furthermore, comprehensive mathematical models of VSGs have been derived in order to verify the simulation results through a frequency domain stability analysis. Moreover, the offline simulation platform results have been validated in real-time using the IEEE-39 bus network on the OPAL-RT platform. According to the analysis, the synchronverter-based VSGs perform much better under low X/R ratios, fault conditions, and dynamic loads. Hence, they are more suitable for distribution grids and load centres with a high share of dynamic loads.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488377","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140555870","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}
Dingrui Li;Yiwei Ma;Yu Su;Chengwen Zhang;Lin Zhu;He Yin;Fred Wang;Leon M. Tolbert
{"title":"A Controllable Distributed Energy Resource Transformer-Based Grounding Scheme for Microgrids","authors":"Dingrui Li;Yiwei Ma;Yu Su;Chengwen Zhang;Lin Zhu;He Yin;Fred Wang;Leon M. Tolbert","doi":"10.1109/OAJPE.2024.3381609","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3381609","url":null,"abstract":"A microgrid (MG) may lose its grounding provided by the main distribution grid in islanded mode, which could cause equipment insulation damage, hazards to personnel, and protection malfunction. Existing MG grounding schemes include the grounding transformer-based scheme and distributed energy resource (DER) transformer-based scheme. However, the grounding transformer-based scheme will increase MG’s cost, and the DER transformer approach will affect the main grid in the grid-connected mode. Moreover, future MGs may have multiple source locations. In each source location, the source and critical load can potentially operate as a sub-MG, requiring a grounding when it stands alone. In this scenario, the drawbacks of existing grounding schemes will be further magnified. In this paper, a novel controllable DER transformer-based grounding scheme is proposed, where a controllable switch is added to the neutral wire of the transformer. The proposed scheme can disable grounding capability in the grid-connected mode and enable it in the islanded mode by changing the transformer connection. The proposed approach can avoid impacts on the main distribution grid and eliminate the need for additional transformers. The design methodology of the proposed grounding scheme is provided. Simulation verification is conducted on a realistic MG model and experimental verification is conducted.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10478910","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351513","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}