CSEE Journal of Power and Energy Systems最新文献_第4页

Resilient Smart Power Grid Synchronization Estimation Method for System Resilience with Partial Missing Measurements 针对部分缺失测量的系统弹性智能电网同步估计方法

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-02-14 DOI: 10.17775/CSEEJPES.2023.06900

Yi Wang;Yanxin Liu;Mingdong Wang;Venkata Dinavahi;Jun Liang;Yonghui Sun

{"title":"Resilient Smart Power Grid Synchronization Estimation Method for System Resilience with Partial Missing Measurements","authors":"Yi Wang;Yanxin Liu;Mingdong Wang;Venkata Dinavahi;Jun Liang;Yonghui Sun","doi":"10.17775/CSEEJPES.2023.06900","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.06900","url":null,"abstract":"With the increasing demand for power system stability and resilience, effective real-time tracking plays a crucial role in smart grid synchronization. However, most studies have focused on measurement noise, while they seldom think about the problem of measurement data loss in smart power grid synchronization. To solve this problem, a resilient fault-tolerant extended Kalman filter (RFTEKF) is proposed to track voltage amplitude, voltage phase angle and frequency dynamically. First, a three-phase unbalanced network's positive sequence fast estimation model is established. Then, the loss phenomenon of measurements occurs randomly, and the randomness of data loss's randomness is defined by discrete interval distribution [0], [1]. Subsequently, a resilient fault-tolerant extended Kalman filter based on the real-time estimation framework is designed using the time-stamp technique to acquire partial data loss information. Finally, extensive simulation results manifest the proposed RFTEKF can synchronize the smart grid more effectively than the traditional extended Kalman filter (EKF).","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1307-1319"},"PeriodicalIF":7.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436622","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304108","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

Self-Sustaining of Critical Park Microgrids Integrating Mobile Emergency Generators Subjective to Major Outage 集成移动应急发电机的重要园区微电网在大停电情况下的自我维持能力

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-02-14 DOI: 10.17775/CSEEJPES.2023.01670

Quan Sui;Lei Zhang

{"title":"Self-Sustaining of Critical Park Microgrids Integrating Mobile Emergency Generators Subjective to Major Outage","authors":"Quan Sui;Lei Zhang","doi":"10.17775/CSEEJPES.2023.01670","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.01670","url":null,"abstract":"In the event of a major power outage, critical park microgrids (PMGs) could be self-sustaining if mobile emergency generators (MEGs) are stationed to share energy. However, the need for privacy protection and the value of flexible power support on minute-time scales have not been given enough attention. To address the problem, this paper proposes a new self-sustaining strategy for critical PMGs integrating MEGs. First, to promote the cooperation between PMG and MEG, a bi-level benefit distribution mechanism is designed, where the participants' multiple roles and contributions are identified, and good behaviors are also awarded. Additionally, to increase the alliance benefits, three loss coordination modes are presented to guide the power exchange at the minute level between the MEG and PMG, considering the volatility of renewable generation and load. On this basis, a multi-time scale power-energy scheduling strategy is formulated via the alternating direction method of multipliers (ADMM) to coordinate the PMG and MEG. Finally, a dimensionality reduction technology is designed to equivalently simplify the optimization problem to facilitate the adaptive-step-based ADMM solution. Simulation studies indicate that the proposed strategy achieves the self-sustaining of PMGs integrating MEGs while increasing the economy by no less than 3.1%.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1441-1453"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436592","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966186","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

Conjugate Vectors Method Applied to Asymmetrical Fault Analysis of Power Electronized Power Systems 共轭矢量法在电力电子化系统非对称故障分析中的应用

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-02-14 DOI: 10.17775/CSEEJPES.2023.04790

Yingbiao Li;Xing Liu;Jiabing Hu;Jianhang Zhu;Jianbo Guo

引用次数: 0

Optical Sensor with Wide Range and High Sensitivity for Internal Magnetic Field Detection of Transformer 用于变压器内部磁场检测的宽范围、高灵敏度光学传感器

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-02-14 DOI: 10.17775/CSEEJPES.2022.07270

Meng Huang;Wei Zheng;Tong Ji;Mao Ji;Tianjiao Pu;Bo Qi

{"title":"Optical Sensor with Wide Range and High Sensitivity for Internal Magnetic Field Detection of Transformer","authors":"Meng Huang;Wei Zheng;Tong Ji;Mao Ji;Tianjiao Pu;Bo Qi","doi":"10.17775/CSEEJPES.2022.07270","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07270","url":null,"abstract":"The deterioration of winding defects is one of the important causes of power transformer fires and even explosion failures. The change of leakage magnetic field distribution is the most direct response to winding defects. Currently there are few sensors suitable for online measurement of the internal magnetic field of transformers. Based on the Faraday magneto-optical effect, a magnetic field sensor with wide range and high sensitivity is proposed in this paper, which is suitable for the interior use of transformers. The straight-through optical structure with interior polarizer is adopted, and the sensor has a measurement range of 1.5 T and a sensitivity of 1 mT. It also possesses a small size, with a length of about 30 mm after encapsulation. The influence mechanism of vibration and temperature is revealed through theoretical analysis and numerical simulation. It is proposed to filter out the interference of vibration by characteristic frequency analysis and to compensate for temperature by a two-probe structure. An anti-interference test verifies the effectiveness of this method, and it can reduce the error from 80.56% to 2.63% under the combined interference of vibration and temperature.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"2230-2244"},"PeriodicalIF":6.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10436606","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142409042","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

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming 通过随机动态编程实现定价者社区储能的能源管理

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.02720

Lirong Deng;Xuan Zhang;Tianshu Yang;Hongbin Sun;Yang Fu;Qinglai Guo;Shmuel S. Oren

{"title":"Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming","authors":"Lirong Deng;Xuan Zhang;Tianshu Yang;Hongbin Sun;Yang Fu;Qinglai Guo;Shmuel S. Oren","doi":"10.17775/CSEEJPES.2023.02720","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.02720","url":null,"abstract":"In this paper, we propose an analytical stochastic dynamic programming (SDP) algorithm to address the optimal management problem of price-maker community energy storage. As a price-maker, energy storage smooths price differences, thus decreasing energy arbitrage value. However, this price-smoothing effect can result in significant external welfare changes by reducing consumer costs and producer revenues, which is not negligible for the community with energy storage systems. As such, we formulate community storage management as an SDP that aims to maximize both energy arbitrage and community welfare. To incorporate market interaction into the SDP format, we propose a framework that derives partial but sufficient market information to approximate impact of storage operations on market prices. Then we present an analytical SDP algorithm that does not require state discretization. Apart from computational efficiency, another advantage of the analytical algorithm is to guide energy storage to charge/discharge by directly comparing its current marginal value with expected future marginal value. Case studies indicate community-owned energy storage that maximizes both arbitrage and welfare value gains more benefits than storage that maximizes only arbitrage. The proposed algorithm ensures optimality and largely reduces the computational complexity of the standard SDP.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"492-503"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375969","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351539","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

Demonstrating the Transient System Impact of Cyber-Physical Events Through Scalable Transmission and Distribution (T&D) Co-Simulation

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.01710

Mengmeng Cai;Wenbo Wang;Xin Fang;Anthony R. Florita;Michael Ingram;Dane Christensen

引用次数: 0

Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support 考虑车辆到电网功能和无功功率支持的有功配电网与电动汽车充电站联合规划

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.03930

Yongheng Wang;Xinwei Shen;Yan Xu

{"title":"Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support","authors":"Yongheng Wang;Xinwei Shen;Yan Xu","doi":"10.17775/CSEEJPES.2023.03930","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.03930","url":null,"abstract":"This paper proposes a collaborative planning model for active distribution network (ADN) and electric vehicle (EV) charging stations that fully considers vehicle-to-grid (V2G) function and reactive power support of EVs in different regions. This paper employs a sequential decomposition method based on physical characteristics of the problem, breaking down the holistic problem into two sub-problems for solution. Subproblem I optimizes the charging and discharging behavior of autopilot electric vehicles (AEVs) using a mixed-integer linear programming (MILP) model. Subproblem II uses a mixed-integer second-order cone programming (MISOCP) model to plan ADN and retrofit or construct V2G charging stations (V2GCS), as well as multiple distributed generation resources (DGRs). The paper also analyzes the impact of bi-directional active-reactive power interaction of V2GCS on ADN planning. The presented model is tested in the 47-node ADN in Longgang District, Shenzhen, China, and the IEEE 33-node ADN, demonstrating that decomposition can significantly improve the speed of solving large-scale problems while maintaining accuracy with low AEV penetration.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"2100-2113"},"PeriodicalIF":6.9,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397513","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

Cyber-Physical Resilience Enhancement for Power Transmission Systems with Energy Storage Systems 利用储能系统增强输电系统的网络物理复原力

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2022.07570

Wenhao Zhang;Dongyang Rui;Weihong Wang;Yang Guo;Zhaoxia Jing;Wenhu Tang

{"title":"Cyber-Physical Resilience Enhancement for Power Transmission Systems with Energy Storage Systems","authors":"Wenhao Zhang;Dongyang Rui;Weihong Wang;Yang Guo;Zhaoxia Jing;Wenhu Tang","doi":"10.17775/CSEEJPES.2022.07570","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07570","url":null,"abstract":"In a power system, when extreme events occur, such as ice storm, large scale blackouts may be unavoidable. Such small probability but high risk events have huge impact on power systems. Most resilience research in power systems only considers faults on the physical side, which would lead to overly idealistic results. This paper proposes a two-stage cyber-physical resilience enhancement method considering energy storage (ES) systems. The first stage calculates optimal planning of ES systems, and the second stage assesses resilience and enhancement of ES systems during the disaster. In the proposed model, cyber faults indirectly damage the system by disabling monitoring and control function of control center. As a result, when detection and response process of physical faults are blocked by cyber failures, serious load shedding occurs. Such a cyber-physical coupling mechanism of fault, response, restoration process is demonstrated in the modified IEEE Reliable Test System-79 (RTS-79). Simulation results show compared with the physical-only system, the cyber-physical system has a more accurate but degraded resilient performance. Besides, ES systems setting at proper place effectively enhance resilience of the cyber-physical transmission system with less load Shedding.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"844-855"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351558","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

Generic Modeling and Control Framework for Power Systems Dominated by Power Converters Connected Through a Passive Transmission and Distribution Grid 通过无源输配电网连接的变流器主导电力系统的通用建模和控制框架

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.06400

Qing-Chang Zhong;Marcio Stefanello

{"title":"Generic Modeling and Control Framework for Power Systems Dominated by Power Converters Connected Through a Passive Transmission and Distribution Grid","authors":"Qing-Chang Zhong;Marcio Stefanello","doi":"10.17775/CSEEJPES.2023.06400","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.06400","url":null,"abstract":"In this paper, a compact mathematical model having an elegant structure, together with a generic control framework, are proposed for generic power systems dominated by power converters that are interconnected through a passive transmission and distribution (T&D) grid, by adopting the port-Hamiltonian (pH) systems theory and the fundamental circuit theory. The models of generic T&D lines are developed and then the model of a generic T&D grid is established. With the proposed control framework, the controlled converters are proven to be passive and Input-to-State Stable (ISS). The compact mathematical model is scalable and can be applied to power systems with multiple power electronic converters with generic passive controllers, passive local loads, and different types of passive T&D lines connected in a meshed configuration without self-loops, so it is very generic. Moreover, the resulting power system is proven to be ISS as well. The analysis is carried out without assumptions on constant frequency/voltage, constant loads, and/or lossless networks, except the need of passivity for all parts involved, and without using the Clarke/Park transformations or the graph theory. To simplify the presentation, three-phase balanced systems are adopted but the results can be easily adapted for single-phase or unbalanced three-phase systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"292-301"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695051","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

Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework 发电机跳闸方案的智能预测：基于知识融合的深度强化学习框架

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2022.08970

Lingkang Zeng;Wei Yao;Ze Hu;Hang Shuai;Zhouping Li;Jinyu Wen;Shijie Cheng

{"title":"Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework","authors":"Lingkang Zeng;Wei Yao;Ze Hu;Hang Shuai;Zhouping Li;Jinyu Wen;Shijie Cheng","doi":"10.17775/CSEEJPES.2022.08970","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08970","url":null,"abstract":"Generator tripping scheme (GTS) is the most commonly used scheme to prevent power systems from losing safety and stability. Usually, GTS is composed of offline predetermination and real-time scenario match. However, it is extremely time-consuming and labor-intensive for manual predetermination for a large-scale modern power system. To improve efficiency of predetermination, this paper proposes a framework of knowledge fusion-based deep reinforcement learning (KF-DRL) for intelligent predetermination of GTS. First, the Markov Decision Process (MDP) for GTS problem is formulated based on transient instability events. Then, linear action space is developed to reduce dimensionality of action space for multiple controllable generators. Especially, KF-DRL leverages domain knowledge about GTS to mask invalid actions during the decision-making process. This can enhance the efficiency and learning process. Moreover, the graph convolutional network (GCN) is introduced to the policy network for enhanced learning ability. Numerical simulation results obtained on New England power system demonstrate superiority of the proposed KF-DRL framework for GTS over the purely data-driven DRL method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"66-75"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375964","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695052","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