CSEE Journal of Power and Energy Systems最新文献_第9页

Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems 利用电力系统状态还原模型的 DA 估算电网故障的关键清除时间

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.07170

Yang Liu;Zhongyang Chen;Huanjin Yao;Lin Yi;Q. H. Wu

{"title":"Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems","authors":"Yang Liu;Zhongyang Chen;Huanjin Yao;Lin Yi;Q. H. Wu","doi":"10.17775/CSEEJPES.2022.07170","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07170","url":null,"abstract":"This paper proposes a critical clearing time (CCT) estimation method by the domain of attraction (DA) of a state-reduction model of power systems using sum of squares (SOS) programming. By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA, it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism. There are one-to-one correspondence relationships between the number of equilibrium points, the type of equilibrium points, and solutions of the two system models. Based on these findings, an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model. State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection. In this way, CCT of a grid fault is estimated with the DA of the state-reduction model. The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model. Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"807-820"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322716","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas 基于电热的综合需求响应，考虑互联地区的双竞价能源市场与多能源存储

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.02140

Dan Wang;Deyu Huang;Qing'e Hu;Hongjie Jia;Bo Liu;Yang Lei

{"title":"Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas","authors":"Dan Wang;Deyu Huang;Qing'e Hu;Hongjie Jia;Bo Liu;Yang Lei","doi":"10.17775/CSEEJPES.2022.02140","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.02140","url":null,"abstract":"With development of integrated energy systems and energy markets, transactive energy has received increasing attention from society and academia, and realization of energy distribution and integrated demand response through market transactions has become a current research hotspot. Research on optimized operation of a distributed energy station as a regional energy supply center is of great significance for improving flexibility and reliability of the system. Based on retail-side energy trading market, this study first establishes a framework of combined electric and heating energy markets and analyses a double auction market mechanism model of interconnected distributed energy stations. This study establishes a mechanism model of energy market participants, and establishes the electric heating combined market-clearing model to maximize global surplus considering multi-energy storage. Finally, in the case study, a typical user energy consumption scenario in winter is selected, showing market-clearing results and demand response effects on a typical day. Impact of transmission line constraints, energy supply equipment capacity, and other factors on clearing results and global surplus are compared and analyzed, verifying the effects of the proposed method on improving global surplus, enhancing interests of market participants and realizing coordination and optimal allocation of both supply and demand resources through energy complementarity between regions.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1688-1700"},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322708","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141965673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Grid Forming $mathcal{H}_{infty}$ Control for HVDC Diode Rectifier-Connected Wind Power Plants 高压直流二极管整流连接风力发电厂的电网形成$mathcal{H}_{infty}$控制

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2023.00110

Jaime Martínez-Turégano;Antonio Sala;Ramon Blasco-Gimenez

{"title":"Grid Forming $mathcal{H}_{infty}$ Control for HVDC Diode Rectifier-Connected Wind Power Plants","authors":"Jaime Martínez-Turégano;Antonio Sala;Ramon Blasco-Gimenez","doi":"10.17775/CSEEJPES.2023.00110","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00110","url":null,"abstract":"Grid forming controllers need to operate with a large variation of grid parameters and grid structures, for instance, during black-start operation, connection to HVDC diode rectifiers, etc. This paper proposes a methodology for the synthesis of robust grid forming controllers for HVDC diode rectifier based wind power plants using \u0000<tex>$mathcal{H}_{infty}$</tex>\u0000 control. The different operating modes of an HVDC diode rectifier based wind power plant should be considered for the controller synthesis using the proposed \u0000<tex>$mathcal{H}_{infty}$</tex>\u0000 controller design methodology. The proposed methodology for grid forming controller design improves the performance and robustness of well tuned standard proportional-resonant based controllers. The results have been validated experimentally at the wind turbine level by means of a small power prototype. The validation at the system level has been carried out using a realistic simulation of the HVDC diode rectifier-connected wind power plant.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2384-2397"},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322700","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metal-Free Optical Pressure Sensor with High Sensitivity and Extensive Range 高灵敏度、宽量程的无金属光学压力传感器

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.06240

Mao Ji;Meng Huang;Haomin Lyu;Sheng Shi;Bo Qi;Chengrong Li

{"title":"Metal-Free Optical Pressure Sensor with High Sensitivity and Extensive Range","authors":"Mao Ji;Meng Huang;Haomin Lyu;Sheng Shi;Bo Qi;Chengrong Li","doi":"10.17775/CSEEJPES.2022.06240","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06240","url":null,"abstract":"Pressure monitoring of a transformer oil tank can grasp the pressure change process caused by gas production when severe internal defects occur and take timely measures to ensure the safe operation of the transformer. Existing pressure sensors generally use metal encapsulation or have an air cavity structure, threatening the transformer's insulation if it is directly used inside the transformer. To this end, this paper proposes a method for developing a high-sensitivity, large-range, and metallization-free optical pressure sensing device with temperature compensation. Fiber grating is encapsulated by fluorosilicone rubber and supplemented by an epoxy resin shielding shell on the outside. At the same time, a double-grating vertical arrangement is adopted to improve pressure measurement sensitivity, further avoiding the influence of temperature rise caused by a defect of the transformer on the measurement result of the sensor. In addition, by optimizing the geometric structure of the internal sensitizing element, pre-stretching length of the fiber grating, gap distance, and other parameters, probe size can be reduced while ensuring the sensor's performance. Results show the proposed method can meet the requirements of sensor fabrication with different sensitivities and ranges, and to a certain extent, both high sensitivity and extensive ranges can be taken into account. The sensitivity of the fabricated prototype is 15 pm/kPa, and the range is about 0.2 MPa. At the same time, the metal-free feature of the sensor makes it suitable for use in various oil-immersed power equipment. It records oil pressure changes caused by oil discharge breakdown, making it sensitive to small pressure changes in early failures.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1291-1300"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322696","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extreme Scenarios Based Data-Adaptive Probability Uncertainty Set for Distributionally Robust Transmission Expansion Planning 基于极端情景的分布式鲁棒输电扩展规划数据自适应概率不确定性集

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2021.01860

Zhenjia Lin;Haoyong Chen;Qiuwei Wu;Tianyao Ji

{"title":"Extreme Scenarios Based Data-Adaptive Probability Uncertainty Set for Distributionally Robust Transmission Expansion Planning","authors":"Zhenjia Lin;Haoyong Chen;Qiuwei Wu;Tianyao Ji","doi":"10.17775/CSEEJPES.2021.01860","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.01860","url":null,"abstract":"Increasing penetration of renewable energy into power systems is the development trend of future energy systems. One of the main challenges is to plan the expansion scheme of transmission systems to accommodate uncertainties of wind power. In this letter, we propose a novel extreme scenarios (ESs) based data-adaptive probability uncertainty set for the transmission expansion planning problem. First, available historical data are utilized to identify data-adaptive ESs through the convex hull technology, and the probability uncertainty set with respect to the obtained ESs is then established, from which we draw the final expansion decision based on the worst-case distribution. The proposed distributionally robust transmission expansion planning (DRTEP) model can guarantee optimality of expected cost under the worst-case distribution, while ensuring feasibility of all possible wind power generation. Simulation studies are carried out on a modified IEEE RTS 24-bus system to verify the effectiveness of the proposed DRTEP model.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2675-2679"},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142870205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilient Power Systems Operation with Offshore Wind Farms and Cloud Data Centers 利用海上风电场和云数据中心实现电力系统的弹性运行

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.01470

Shengwei Liu;Yuanzheng Li;Xuan Liu;Tianyang Zhao;Peng Wang

{"title":"Resilient Power Systems Operation with Offshore Wind Farms and Cloud Data Centers","authors":"Shengwei Liu;Yuanzheng Li;Xuan Liu;Tianyang Zhao;Peng Wang","doi":"10.17775/CSEEJPES.2022.01470","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.01470","url":null,"abstract":"To enhance the resilience of power systems with offshore wind farms (OWFs), a proactive scheduling scheme is proposed to unlock the flexibility of cloud data centers (CDCs) responding to uncertain spatial and temporal impacts induced by hurricanes. The total life simulation (TLS) is adopted to project the local weather conditions at transmission lines and OWFs, before, during, and after the hurricane. The static power curve of wind turbines (WTs) is used to capture the output of OWFs, and the fragility analysis of transmission-line components is used to formulate the time-varying failure rates of transmission lines. A novel distributionally robust ambiguity set is constructed with a discrete support set, where the impacts of hurricanes are depicted by these supports. To minimize load sheddings and dropping workloads, the spatial and temporal demand response capabilities of CDCs according to task migration and delay tolerance are incorporated into resilient management. The flexibilities of CDC's power consumption are integrated into a two-stage distributionally robust optimization problem with conditional value at risk (CVaR). Based on Lagrange duality, this problem is reformulated into its deterministic counterpart and solved by a novel decomposition method with hybrid cuts, admitting fewer iterations and a faster convergence rate. The effectiveness of the proposed resilient management strategy is verified through case studies conducted on the modified IEEE-RTS 24 system, which includes 4 data centers and 5 offshore wind farms.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 6","pages":"1985-1998"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322691","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implicit Function Based Open-Loop Analysis Method for Detecting the SSR Using Identified System Parameters 利用已识别系统参数检测 SSR 的基于隐函数的开环分析方法

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2021.05480

Luonan Qiu;Tianhao Wen;Yang Liu;Q. H. Wu

引用次数: 0

Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics 基于风速特征的异常数据识别与重构

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.06640

Mao Yang;Tian Peng;Wei Zhang;Xin Su;Chao Han;Fulin Fan

{"title":"Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics","authors":"Mao Yang;Tian Peng;Wei Zhang;Xin Su;Chao Han;Fulin Fan","doi":"10.17775/CSEEJPES.2022.06640","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06640","url":null,"abstract":"High availability of wind power data is the basis for wind power research, but there are a large number of abnormal data in actual collected data, which seriously affects analysis of wind power law and reduces prediction accuracy. Measured power data of wind farm are analyzed, influence of wind speed fluctuation characteristics on wind power is discussed, and abnormal points are identified for data of different wind types. The Cluster-Based Local Outlier Factor (CLOF) algorithm based on K-means is used to identify outlier abnormal points, and conditional constraints based on physical background are used to identify accumulation abnormal points. Reconstructed data segment is divided according to fluctuation of wind speed. The Bidirectional Gate Recurrent Unit (BiGRU) model with wind speed as input reconstructs fluctuation segment data, and bi-directional weighted random forest model reconstructs stationary segment data. Based on analysis of measured data of a wind farm, results show the method can effectively identify various abnormal data, and complete high-quality reconstruction of data, thereby improving accuracy of wind power prediction.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"612-622"},"PeriodicalIF":6.9,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322710","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method 理解未知故障下电力系统动态安全评估的差异：基于迁移学习的可靠方法

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-09-08 DOI: 10.17775/CSEEJPES.2023.00230

Chao Ren;Han Yu;Yan Xu;Zhao Yang Dong

引用次数: 0

A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems 风能转换系统中 DFIG 的模型预测控制调查

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-09-08 DOI: 10.17775/CSEEJPES.2022.08500

Shuo Yan;Junyu Chen;Minghao Wang;Yongheng Yang;Jose M. Rodriguez

引用次数: 0