{"title":"Application of Extrapolation Capability of Vector Fitting for Out-of-Band Dominant Modal Synthesis of Voltage-Source Converters","authors":"Weihua Zhou;Jef Beerten","doi":"10.1109/OAJPE.2024.3360091","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3360091","url":null,"abstract":"Conventional state-space-based stability assessment method of voltage-source converters (VSCs) can be hindered by the black-box feature. Black box-based state-space model identification method using the terminal admittance/impedance frequency responses has thus been drawing increasing research attentions recently. However, the estimation of out-of-band modes commonly suffers from narrow bandwidth of frequency responses. This article presents, for the first time, the potential identification of several critical out-of-band modes of an artificially created rational function and a grid-connected VSC. This identification is achieved through their band-limited frequency responses using the vector fitting (VF) algorithm. On its basis, a sensitivity index of a partial fraction term is derived to explain the out-of-band modal identification behavior of the VF. The effects of the pole, residue, and fitting frequency interval width on the sensitivity index are further investigated and demonstrated. The numerical analysis shows that, with the help of the proposed sensitivity index, the extrapolation behavior of the VF can be explained, and several invisible out-of-band modes can further be identified or synthesized from a band-limited frequency response. This extrapolation feature may strengthen the curve fitting capability of the VF, i.e., compared to the VSC’s band-limited frequency responses, more modal information can be obtained and further used for eigenvalue-based stability analysis.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10416553","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139915557","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":"Impact of Price-Responsive Load and Renewables in an Emission-Aware Power Systems","authors":"Boming Liu;Jin Dong;Byungkwon Park;Jianming Lian;Teja Kuruganti","doi":"10.1109/OAJPE.2024.3358183","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3358183","url":null,"abstract":"Decarbonization of the power grid will require collective efforts from different entities. As the global energy sector shifts from fossil-based systems of energy production to renewable energy sources to reduce energy-related greenhouse gas emissions, demand-side flexibility can play an important role in decarbonizing the grid. In this paper, we explore the impact of price-responsive loads and renewable resources in an emission-aware power system. The proposed simulation framework utilizes a modified optimal power flow formulation that considers the carbon cost in addition to the fuel cost of generations. The system also incorporates the demand flexibility through market coordination based on the emission-aware locational marginal prices (E-LMPs) to contribute to the overall emissions reduction. Numerical studies on the test system were performed to compare the emission-aware power system operation and the traditional power system operation in different scenarios. Quantitative results on carbon emission reduction are provided to evaluate the impact of the price-responsive loads and renewable resources. The results demonstrate that E-LMPs and the active participation of flexible loads can help reduce carbon emissions, especially with renewable resources in the system.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10413548","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139694950","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":"IEEE Open Access Journal of Power and Energy Publication Information","authors":"","doi":"10.1109/OAJPE.2023.3339068","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3339068","url":null,"abstract":"","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10410649","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572964","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":"2023 Best Papers, Outstanding Associate Editors, and Outstanding Reviewers","authors":"Fangxing Fran Li","doi":"10.1109/OAJPE.2023.3346588","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3346588","url":null,"abstract":"The Editorial Board of the IEEE Open Access Journal of Power and Energy (OAJPE) would like to recognize the following best papers selected from all papers published between October 1, 2020 and September 30, 2023 in OAJPE.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10410648","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572966","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":"Information for authors","authors":"","doi":"10.1109/OAJPE.2023.3339070","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3339070","url":null,"abstract":"","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10410901","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572968","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}
Yuanshi Zhang;Wenyan Qian;Jun Shao;Fei Zhang;Liwei Wang;Qinran Hu;Wei Li
{"title":"Adaptive Voltage Reference Based Controls of Converter Power Sharing and Pilot Voltage in HVDC System for Large-Scale Offshore Wind Integration","authors":"Yuanshi Zhang;Wenyan Qian;Jun Shao;Fei Zhang;Liwei Wang;Qinran Hu;Wei Li","doi":"10.1109/OAJPE.2024.3354079","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3354079","url":null,"abstract":"Active power sharing and voltage regulation are two of the major control challenges in the operation of the voltage source converter based multi-terminal high-voltage DC (VSC-MTDC) system when integrating large-scale offshore wind farms (OWFs). This paper proposes two novel adaptive voltage reference based droop control methods to regulate pilot DC voltage and share the power burden autonomously. The proposed Method I utilizes DC grid lossy model with the local voltage droop control strategy, while the proposed Method II adopts a modified pilot voltage droop control (MPVDC) to avoid the large errors caused by the DC grid lossless model. Dynamic simulations of a five-terminal MTDC grid are carried out using MATLAB/Simulink SimPowerSystems /Specialized Technology to verify the proposed autonomous control methods under various types of disturbance and contingency. In addition, comparative study is implemented to demonstrate the advantages of the proposed methods.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10400575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139942708","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":"Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles","authors":"Avishan Bagherinezhad;Mahnoosh Alizadeh;Masood Parvania","doi":"10.1109/OAJPE.2023.3347972","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3347972","url":null,"abstract":"The adoption of autonomous electric vehicles (AEVs) offers an opportunity to decarbonize the transportation sector while eliminating the human errors in driving accidents. However, adopting AEVs may impose challenges to the operation of power distribution systems to ensure the availability of power for charging a growing number of AEVs at different times and locations. This paper takes an opportunistic look at this problem and develops a rolling horizon model for coordinating the operation of electric autonomous ride-hailing systems with power distribution systems. The proposed model incorporates the most recent real-time information and the future expected value of energy level, spatial and temporal location of AEV fleet, traffic data, and passenger demand. Using this data, the proposed model adopts a rolling horizon approach to optimize the routing of AEVs to serve spatio-temporal passenger demand across the transportation network, while optimizing the time and location of AEVs charging to ensure the availability of energy to serve the passenger demand, and satisfying the operational constraints of the power distribution system. The proposed model is implemented on a test transportation system, coupled with the IEEE 33-bus test power distribution system. The numerical results demonstrate the capability of the proposed model in ensuring the reliability and quality of service for both electric autonomous ride-hailing and power distribution systems.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10382159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140014902","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":"Loadability Analysis of Smart Solid-State Transformer Considering its Interactions Amongst all the Ports","authors":"Junru Chen;Yi Zhang;Muyang Liu;Yutian Chen;Rongwu Zhu","doi":"10.1109/OAJPE.2024.3349631","DOIUrl":"https://doi.org/10.1109/OAJPE.2024.3349631","url":null,"abstract":"Smart solid-state transformers (STs) have been proposed to modernize the distributed renewable resources dominated distribution system and facilitate the integration of different subsystems/resources as an energy hub/router. A solid power deliver amongst these integrated subsystems is critical to maintain the power balance and to ensure the ST stable operation, while the research on ST loadability analysis is insufficient. Generally, the ST is composed of three-stage offering medium voltage alternative current (MVAC), medium voltage direct current (MVDC), low voltage direct current (LVDC) and low voltage alternative current (LVAC) connectivity. Although the voltage at each port is independently controlled, the power conversion among these ports is electrically coupled and constrained by the maximum deliverable power of each stage. This paper analyzes the operating points of the ST stage by stage with respect to its loadbility and defines the stable operational region of the ST considering the interactions amongst these stages. Moreover, effects of the current limits, voltage regulation and reactive power compensation on the ST loadability and stability enhancement are considered. RT-Lab platform serves to verify the stable operation region of the ST and the efficiency of the above loadability enhancement methods.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10380651","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572967","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":"Robustness and Stability Analysis of Automatic Voltage Regulator Using Disk-Based Stability Analysis","authors":"Pasala Gopi;Meisam Mahdavi;Hassan Haes Alhelou","doi":"10.1109/OAJPE.2023.3344750","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3344750","url":null,"abstract":"In this paper, the authors propose a novel design approach for the PID controller in the automatic voltage regulator (AVR) system using the Naked Mole Rat Algorithm (NMRA). The proposed algorithm has been extensively tested through MATLAB simulation studies. These studies have confirmed the effectiveness of the NMRA tuning method in achieving improved AVR system performance compared to the other tuning methods in the literature. In addition to performance evaluation, this article also investigates the robustness of the AVR system with an NMRA-tuned PID controller. This was achieved by conducting a disk-based stability analysis under model uncertainty. Also, the proposed NMRA-PID controller has a higher gain change tolerance than the TSA-PID controller for the given perturbations in the feedback loop of the AVR system for the specified values of disk size and skew. By studying the performance and robustness of the AVR system with an NMRA-tuned PID controller and comparing it with other techniques, this study provides insights into the benefits and capabilities of the proposed approach.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10366297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139041298","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}
Karthik Rajashekaraiah;Cosimo Iurlaro;Sergio Bruno;Giovanni De Carne
{"title":"Modelling of 3-Phase p-q Theory-Based Dynamic Load for Real-Time Simulation","authors":"Karthik Rajashekaraiah;Cosimo Iurlaro;Sergio Bruno;Giovanni De Carne","doi":"10.1109/OAJPE.2023.3340299","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3340299","url":null,"abstract":"This article proposes a new method of modelling dynamic loads based on instantaneous p-q theory, to be employed in large powers system network simulations in a digital real-time environment. Due to the use of computationally heavy blocks such as phase-locked-loop (PLL), mean calculation,and coordinate transformation blocks (e.g., abc–dq0), real-time simulation of large networks with dynamic loads can be challenging. In order to decrease the computational burden associated to the dynamic load modelling, a p-q theory-based approach for load modelling is proposed in this paper. This approach is based on the well-known p-q instantaneous theory developed for power electronics converters, and it consists only of linear controllers and of a minimal usage of control loops, reducing the required computational power. This improves real-time performance and allows larger scale simulations. The introduced p-q theory-based load (PQL) model has been tested on standard networks implemented in a digital real time simulator, such as the SimBench semi-urban medium voltage network and the 118-bus Distribution System, showing significant improvement in terms of computational capability with respect to standard load models (e.g., MATLAB/Simulink dynamic load).","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10347248","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138822190","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}