IEEE Open Access Journal of Power and Energy最新文献_第10页

Learning-Assisted Variables Reduction Method for Large-Scale MILP Unit Commitment 大规模MILP机组承诺的学习辅助变量约简方法

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3247989

Mohamed Ibrahim Abdelaziz Shekeew;Bala Venkatesh

{"title":"Learning-Assisted Variables Reduction Method for Large-Scale MILP Unit Commitment","authors":"Mohamed Ibrahim Abdelaziz Shekeew;Bala Venkatesh","doi":"10.1109/OAJPE.2023.3247989","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3247989","url":null,"abstract":"The security-constrained unit commitment (SCUC) challenge is solved repeatedly several times every day, for operations in a limited time. Typical mixed-integer linear programming (MILP) formulations are intertemporal in nature and have complex and discrete solution spaces that exponentially increase with system size. Improvements in the SCUC formulation and/or solution method that yield a faster solution hold immense economic value, as less time can be spent finding the best-known solution. Most machine learning (ML) methods in the literature either provide a warm start or convert the MILP-SCUC formulation to a continuous formulation, possibly leading to sub-optimality and/or infeasibility. In this paper, we propose a novel ML-based variables reduction method that accurately determines the optimal schedule for a subset of trusted generators, shrinking the MILP-SCUC formulation and dramatically reducing the search space. ML indicators sets are created to shrink the MILP-SCUC model, leading to improvement in the solution quality. Test results on IEEE systems with 14, 118, and 300 busses, the Ontario system, and Polish systems with 2383 and 3012 busses report significant reductions in solution times in the range of 48% to 98%. This is a promising tool for system operators to solve the MILP-SCUC with a lower optimality gap in a limited-time operation, leading to economic benefits.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784343/9999142/10054063.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49992157","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: 4

Harmonic Analysis of Type-3 Wind Turbines Subject to Grid Unbalance 电网不平衡下3型风力发电机组谐波分析

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3275810

Mohammed Alqahtani;Zhixin Miao;Lingling Fan

{"title":"Harmonic Analysis of Type-3 Wind Turbines Subject to Grid Unbalance","authors":"Mohammed Alqahtani;Zhixin Miao;Lingling Fan","doi":"10.1109/OAJPE.2023.3275810","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3275810","url":null,"abstract":"The objective of this paper is to adequately model a doubly-fed induction generator (DFIG)-based type-3 wind turbine under grid unbalance by considering not only positive and negative-sequence circuits but also the 3rd harmonic circuit. This 3rd harmonic is a positive sequence component caused by frequency coupling with the negative-sequence 60-Hz component. It is not a zero-sequence component and cannot be got rid of by delta-connected transformers. Hence, accurate modeling is necessary to capture this harmonic component. In addition to modeling, we design an efficient algorithm for steady-state analysis by formulating the steady-state analysis problem as an optimization problem. A set of equality constraints has been formed to reflect the relationship of voltage, current, and power in the ac circuits, the dc circuit, and the different frames. This formulation is defined in YALMIP, a MATLAB interface for optimization problems. The optimization problem is then solved by a nonlinear optimization solver. The results of the steady-state analysis are phasors of harmonic components at steady state. They have been validated by the phasors obtained from Fourier transforms of electromagnetic transient (EMT) simulation results. The paper contributes to both the sophisticated phasor model of DFIG with consideration of grid unbalance and the efficient computing procedure of steady-state analysis by use of advanced solvers.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784343/9999142/10124044.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49945712","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

Parallel-in-Time Power System Simulation Using a Differential Transformation Based Adaptive Parareal Method 基于微分变换的自适应平行法并行电力系统仿真

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2022.3220112

Yang Liu;Byungkwon Park;Kai Sun;Aleksandar Dimitrovski;Srdjan Simunovic

引用次数: 1

Design of Next-Generation Cyber-Physical Energy Management Systems: Monitoring to Mitigation 下一代网络物理能源管理系统的设计:从监测到缓解

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3239186

Abhijeet Sahu;Katherine Davis;Hao Huang;Amarachi Umunnakwe;Saman Zonouz;Ana Goulart

引用次数: 4

An Effective Security Scheme for Attacks on Sample Value Messages in IEC 61850 Automated Substations IEC 61850自动化变电站样本值信息攻击的有效安全方案

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3255790

S. M. Suhail Hussain;Mohd Asim Aftab;Shaik Mullapathi Farooq;Ikbal Ali;Taha Selim Ustun;Charalambos Konstantinou

{"title":"An Effective Security Scheme for Attacks on Sample Value Messages in IEC 61850 Automated Substations","authors":"S. M. Suhail Hussain;Mohd Asim Aftab;Shaik Mullapathi Farooq;Ikbal Ali;Taha Selim Ustun;Charalambos Konstantinou","doi":"10.1109/OAJPE.2023.3255790","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3255790","url":null,"abstract":"The trend of transforming substations into smart automated facilities has led to their swift digitalization and automation. To facilitate data exchange among equipment within these substations, the IEC 61850 standard has become the predominant standard. However, this standardization has inadvertently made these substations more susceptible to cyberattacks, which is a significant concern given the confidential information that is transmitted. As a result, cybersecurity in substations is becoming an increasingly critical topic. IEC 62351 standard provides guidelines and considerations for securing the IEC 61850 messages to mitigate their vulnerabilities. While securing Generic Object-Oriented Substation Event (GOOSE) messages has received considerable attention in literature, the same level of scrutiny has not been applied to Sampled Value (SV) messages despite their susceptibility to cyberattacks and similar frame format. This paper presents the impact of replay and masquerade attacks on SV messages. It also develops a scheme for securing SV messages against these attacks. Due to high sampling rate and time critical nature of SV messages, the time complexity of security scheme is critical for its applicability to SV messages. Hence, in this work, SV emulators have been developed in order to send these modified secure SV messages and investigate their timing performance. The results show that the proposed scheme can mitigate replay and masquerade attacks on SV messages while providing the necessary high sampling rate and stringent timing requirements.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784343/9999142/10065529.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49985061","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: 1

An Automated Approach for Screening Residential PV Applications Using a Random Forest Model 使用随机森林模型筛选住宅光伏应用的自动化方法

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3270223

Wenbo Wang;Jeremy Keen;Jason Bank;Julieta Giraldez;Karen Montano-Martinez

{"title":"An Automated Approach for Screening Residential PV Applications Using a Random Forest Model","authors":"Wenbo Wang;Jeremy Keen;Jason Bank;Julieta Giraldez;Karen Montano-Martinez","doi":"10.1109/OAJPE.2023.3270223","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3270223","url":null,"abstract":"The rapid growth of residential solar photovoltaics (PV) applications is a challenge for distribution utilities as they work to maintain grid standards and minimize customer interconnection times. A “screening process” is typically used by utilities to approve customer interconnection request. While conventional “fast-track screening” methods (e.g., limiting PV capacity to 15% of transformer capacity) can be done quickly, they are too restrictive for new PV interconnections. On the other hand, detailed studies often require power flow modeling and would increase customer interconnection times. This work uses a random forest (RF) model to screen residential solar applications without the need for power flow analysis. The proposed RF model is based on commonly available PV application information and network data as inputs, such as application size and solar penetration. The correlation and importance of these RF inputs are investigated so that utilities have flexible implementation options. Further advantages of this data-driven approach are transparency, i.e., utilities can show how different inputs affect a pass/fail decision, and a quantified probability associated with the screening decisions can be provided. Case studies show how a utility would use the proposed approach and benchmark the proposed approach with conventional screening methods. The proposed approach was found to be more accurate than the conventional fast-track screens. It was also found to be faster than detailed power flow studies and nearly as accurate.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784343/9999142/10108056.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49985063","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: 1

Power Distribution System Characterization With Active Probing: Real-World Testing and Analysis 配电系统特性与主动探测:现实世界的测试和分析

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2022.3227908

Can Huang;Hannah Burroughs;Cecilia Klauber;Chih-Che Sun

引用次数: 0

Statistical Modeling of the Determinants Driving the Electricity Demand in Jordan 约旦电力需求决定因素的统计建模

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3255100

Mohammad Awad Momani;Lina Alhmoud

{"title":"Statistical Modeling of the Determinants Driving the Electricity Demand in Jordan","authors":"Mohammad Awad Momani;Lina Alhmoud","doi":"10.1109/OAJPE.2023.3255100","DOIUrl":"https://doi.org/10.1109/OAJPE.2023.3255100","url":null,"abstract":"The paper introduces a statistical model that connects the electrical demand in Jordan with several determinants that have a direct impact on the electrical consumption and load profile during the study period from 2007 to 2020. The period was selected as it is characterized by several global events that directly impacted Jordan’s economy and energy sustainability in Jordan, such as the Arab spring protests, the civil war in Syria, and the global financial crises. Many determinants that are used in the regression analysis imply the ambient temperature, day of the week, population, gross domestic product (GDP), oil price, and technological factors related to renewable energy projects. Results show that temperature and population positively impact the demand, whereas GPD, population, oil prices, and renewable energy negatively impact the electricity demand. The results obtained from backcasting regression analysis for the hourly 4745 data set covering 13 years period reveals reasonable error metrics with MAE, MAPE, and RMSE values of 134, 6.3% and 2.76%, respectively. The government must encourage investments to exploit and explore the massive potential of available energy resources such as oil, natural gas, oil shale, and uranium to resolve the problems related to the high global oil prices and high dependency on imported energy. Also, it is required to enable the transition from fossil fuels to renewable energy through financial incentives and tax exemption to encourage investments in clean energy, rebuild a new traffic system showing the volatile electricity prices, which are still unknown and finally remove obstacles and facilitate the ongoing projects, reaching a state of stakeholder buy-in engaging with the projects.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784343/9999142/10064323.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49985060","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

Comparison of Measurement-Based Classification Methods of LED Lamps 基于测量的LED灯具分类方法比较

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2023.3263793

Elena Gutierrez-Ballesteros;Sarah K. Rönnberg;Aurora Gil-De-Castro

引用次数: 0

2023 Index IEEE Open Access Journal of Power and Energy Vol. 10 2023 Index IEEE Open Access Journal of Power and Energy Vol.

IF 3.8

IEEE Open Access Journal of Power and Energy Pub Date : 2023-01-01 DOI: 10.1109/OAJPE.2024.3356328

引用次数: 0