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

Sub/Super-Synchronous Oscillation Detection Based on Matching Synchroextracting Wavelet Transform 基于匹配同步提取小波变换的次/超同步振荡检测

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-11-11 DOI: 10.17775/CSEEJPES.2023.01310

Tianyao Ji;Shiyu Wang;Luliang Zhang;Q. H. Wu

{"title":"Sub/Super-Synchronous Oscillation Detection Based on Matching Synchroextracting Wavelet Transform","authors":"Tianyao Ji;Shiyu Wang;Luliang Zhang;Q. H. Wu","doi":"10.17775/CSEEJPES.2023.01310","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.01310","url":null,"abstract":"When disturbed, the interaction between power grid and wind farm may cause serious sub/super-synchronous oscillation (SSO), affecting the security and stability of the system. It is therefore important to detect the time-varying amplitude and frequency of SSO to provide information for its control. The matching synchroextracting wavelet transform (MSEWT) is a new method proposed in this paper to serve this purpose. Based on the original synchrosqueezing wavelet transform, MSEWT uses a synchronous extraction operator to calculate the time-frequency coefficients and a chirp-rate estimation to modify the instantaneous frequency estimation. Thus, MSEWT can improve the concentration degree and reconstruction accuracy of the signal's time-frequency representation without iterative calculation, and can achieve superior noise robustness. After the time-frequency analysis and modal decomposition of the SSO by MSEWT, the amplitudes and frequencies of each oscillation component can be obtained by Hilbert transform (HT). The simulation studies demonstrate that the proposed scheme can accurately identify the modal parameters of SSO even in the case of noise interference, providing a reliable reference for stable operation of power system time-frequency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"649-660"},"PeriodicalIF":6.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10748577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860827","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

Two-Stage Multi-Objective Optimization and Decision-Making Method for Integrated Energy System Under Wind Generation Disturbances 风力发电扰动下综合能源系统两阶段多目标优化与决策方法

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-09-19 DOI: 10.17775/CSEEJPES.2023.07130

Bin Deng;Xiaosheng Xu;Mengshi Li;Tianyao Ji;Q. H. Wu

{"title":"Two-Stage Multi-Objective Optimization and Decision-Making Method for Integrated Energy System Under Wind Generation Disturbances","authors":"Bin Deng;Xiaosheng Xu;Mengshi Li;Tianyao Ji;Q. H. Wu","doi":"10.17775/CSEEJPES.2023.07130","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.07130","url":null,"abstract":"Although integrated energy systems (IES) are currently modest in size, their scheduling faces strong challenges, stemming from both wind generation disturbances and the system's complexity, including intrinsic heterogeneity and pronounced non-linearity. For this reason, a two-stage algorithm called the Multi-Objective Group Search Optimizer with Pre-Exploration (MOGSOPE) is proposed to efficiently achieve the optimal solution under wind generation disturbances. The optimizer has an embedded trainable surrogate model, Deep Neural Networks (DNNs), to explore the common features of the multi-scenario search space in advance, guiding the population toward a more efficient search in each scenario. Furthermore, a multi-scenario Multi-Attribute Decision Making (MADM) approach is proposed to make the final decision from all alternatives in different wind scenarios. It reflects not only the decision-maker's (DM) interests in other indicators of IES but also their risk preference for wind generation disturbances. A case study conducted in Barry Island shows the superior convergence and diversity of MOGSOPE in comparison to other optimization algorithms. With respect to numerical performance metrics HV, IGD, and SI, the proposed optimizer exhibits improvements of 3.1036%, 4.8740%, and 4.2443% over MOGSO, and 4.2435%, 6.2479%, and 52.9230% over NSGAII, respectively. What's more, the effectiveness of the multi-scenario MADM in making final decisions under uncertainty is demonstrated, particularly in optimal scheduling of IES under wind generation disturbances.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2564-2576"},"PeriodicalIF":6.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684463","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142870218","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

Partially Affine Policy for Multistage Robust Unit Commitment with Fast-Ramping Units 具有快速爬坡单元的多阶段鲁棒单元承诺的部分仿射策略

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-09-19 DOI: 10.17775/CSEEJPES.2023.08300

Zhongjie Guo;Jiayu Bai;Wei Wei;Shengwei Mei;Weihao Hu

引用次数: 0

Cascaded Sliding-Mode Observer for High-Order Systems with Lower-Triangular Structure 下三角结构高阶系统的级联滑模观测器

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-09-19 DOI: 10.17775/CSEEJPES.2023.02580

Tianhao Wen;Yuqing Lin;Yang Liu;Q. H. Wu;Yinsheng Su

{"title":"Cascaded Sliding-Mode Observer for High-Order Systems with Lower-Triangular Structure","authors":"Tianhao Wen;Yuqing Lin;Yang Liu;Q. H. Wu;Yinsheng Su","doi":"10.17775/CSEEJPES.2023.02580","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.02580","url":null,"abstract":"Motivated by state estimation and adaptive control of large-scale complex power systems, this paper proposes a cascaded sliding-mode observer for high-order systems with lower-triangular structure and not necessarily in Byrnes-Isidori Normal Form. Key information about the known nonlinear terms of the system is integrated into different blocks of the proposed observer. Under appropriate parameter design rules, the states of the proposed observer will quickly reach and slide on the intersection of sliding surfaces. During this sliding phase, the estimation errors rapidly converge to negligibly small values, determined by a parameter of the observer. Compared with standard high-gain observers and classical high-gain parameter embedded sliding-mode observers, the proposed observer achieves similar estimation error convergence speed with smaller gain coefficients. Moreover, the peaking phenomenon of the proposed observer is less severe. Besides, the structure of the proposed observer is more flexible than that of some well-known cascaded high-gain observers as there is no restriction on the dimension of the blocks of the proposed observer. Simulation studies are carried out on a fifth-order nonlinear system and a 10-machine 48-bus power system to further demonstrate the features of the proposed observer and its application on adaptive transient stability control of wind farms penetrated power systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1045-1059"},"PeriodicalIF":6.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243767","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

Improved EAD Algorithm to Estimate Domains of Attraction of Power Systems Including Induction Motors for Transient Voltage Stability Analysis 用于暂态电压稳定分析的包括感应电机在内的电力系统吸引域估计改进EAD算法

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-09-19 DOI: 10.17775/CSEEJPES.2023.04900

Lei Chen;Tianhao Wen;Yuqing Lin;Yang Liu;Q. H. Wu;Chao Hong;Yinsheng Su

{"title":"Improved EAD Algorithm to Estimate Domains of Attraction of Power Systems Including Induction Motors for Transient Voltage Stability Analysis","authors":"Lei Chen;Tianhao Wen;Yuqing Lin;Yang Liu;Q. H. Wu;Chao Hong;Yinsheng Su","doi":"10.17775/CSEEJPES.2023.04900","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.04900","url":null,"abstract":"Transient voltage stability analysis (TVSA) of power systems is one of the most computationally challenging tasks in dynamic security assessment. To reduce the complexity of TVSA, this paper proposes an improved expanding annular domain (improved EAD) algorithm to estimate the domain of attraction (DA) of power systems containing multiple induction motors (IMs), whose improvements are concerned with relaxing the restriction on critical value and simplifying iteration steps. The proposed algorithm can systematically construct Lyapunov function for lossy power systems with IMs and their slip constraints. First, the extended Lyapunov stability theory and sum of squares (SOS) programming are presented, which are powerful tools to construct Lyapunov function. Second, the internal node model of IM is developed by an analogy with that of a synchronous generator, and a multi-machine power system model by eliminating algebraic variables is derived. Then, an improved EAD algorithm with SOS programming is proposed to estimate the DA for a power system considering the slip constraint of IM. Finally, the superiority of our method is demonstrated on two modified IEEE test cases. Simulation results show that the proposed algorithm can provide a better estimated DA and critical clearing slip for power systems with multiple IMs.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2321-2332"},"PeriodicalIF":6.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859064","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

Transient Voltage Support Strategy of Grid-Forming Medium Voltage Photovoltaic Converter in the LCC-HVDC System LCC-HVDC 系统中并网型中压光伏逆变器的瞬态电压支持策略

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-09-19 DOI: 10.17775/CSEEJPES.2024.00600

Hong Lu;Xianyong Xiao;Guangfu Tang;Zhiyuan He;Zhiguang Lin;Chong Gao;Zixuan Zheng

{"title":"Transient Voltage Support Strategy of Grid-Forming Medium Voltage Photovoltaic Converter in the LCC-HVDC System","authors":"Hong Lu;Xianyong Xiao;Guangfu Tang;Zhiyuan He;Zhiguang Lin;Chong Gao;Zixuan Zheng","doi":"10.17775/CSEEJPES.2024.00600","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.00600","url":null,"abstract":"The participation of photovoltaic (PV) plants in supporting the transient voltage caused by commutation failure in the line-commutated-converter-based high voltage direct current (LCC-HVDC) system is of great significance, as it can enhance the DC transmission ability. However, it is found that the grid-following (GFL) PV converters face the problem of mismatch between reactive power response and transient voltage characteristic when the voltage converts from low voltage to overvoltage, further aggravating the overvoltage amplitude. Thus, this article proposes a transient voltage support strategy based on the grid-forming (GFM) medium voltage PV converter. The proposed strategy takes the advantage of the close equivalent electrical distance between the converter and grid, which can autonomously control the converter terminal voltage through GFM control with adaptive voltage droop coefficient. The simulation results show that the proposed strategy can ensure the output reactive power of the PV converter quickly matches the transient voltage characteristic at different stages, indicating that the proposed strategy can effectively support the transient voltage.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"1849-1864"},"PeriodicalIF":6.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397515","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

A Novel Harmonic State-space Modelling Method on the Modular Multilevel Matrix Converter and Coupling Analysis 模块化多电平矩阵变换器的谐波状态空间建模方法及耦合分析

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-07-24 DOI: 10.17775/CSEEJPES.2024.00370

Jing Li;Boyang Zhao;Shenquan Liu;Jie Li;Xiuli Wang;Xifan Wang

{"title":"A Novel Harmonic State-space Modelling Method on the Modular Multilevel Matrix Converter and Coupling Analysis","authors":"Jing Li;Boyang Zhao;Shenquan Liu;Jie Li;Xiuli Wang;Xifan Wang","doi":"10.17775/CSEEJPES.2024.00370","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.00370","url":null,"abstract":"The fractional frequency transmission system is an emerging technology for long-distance wind power integration, and the modular multilevel matrix converter (M3C) is the keen equipment. Since the M3C directly connects two ac grids with different frequencies, the external and internal harmonics have complex coupling relationships with a unique dual-fundamental-frequency spectrum, which has not been properly investigated due to a lack of an effective method. To address this issue, a novel harmonic state-space method is proposed to achieve comprehensive modelling of the harmonic dynamics of the M3C. Based on the principle of two-dimensional Fourier transform, the decomposition of the dual-fundamental-frequency harmonics is realized, and the multiplicative coupling between time-domain variables is modelled through double-layer convolution on the frequency domain. Besides, the general expression of the proposed method is provided, which highlights a modularized matrix with easy scalability to meet different truncation requirements. Then, the HSS model of M3C considering the close-loop control is established, based on which a panoramic harmonic coupling relationship between the system- and the low-frequency side is concluded. Finally, the M3C model and harmonic coupling relationship are validated by simulation tests conducted in MATLAB/Simulink environment.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 1","pages":"78-90"},"PeriodicalIF":6.9,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609297","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430451","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

Interval Economic Dispatch for Commercial Campus Integrated Energy System with Demand Response Considering Multiple Uncertainties 考虑多不确定性需求响应的商业校园综合能源系统区间经济调度

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-07-24 DOI: 10.17775/CSEEJPES.2023.00840

Xuan Sheng;Shunjiang Lin;Weikun Liang;Yue Pan;Mingbo Liu

{"title":"Interval Economic Dispatch for Commercial Campus Integrated Energy System with Demand Response Considering Multiple Uncertainties","authors":"Xuan Sheng;Shunjiang Lin;Weikun Liang;Yue Pan;Mingbo Liu","doi":"10.17775/CSEEJPES.2023.00840","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00840","url":null,"abstract":"Demand response (DR) is considered to be an effective way to bring significant economic benefit to the commercial campus integrated energy system (CCIES) due to the large amount of flexible cooling and electric vehicle (EV) charging loads. To maximize DR's benefits, this paper proposes an integrated DR framework that includes direct load control for cooling loads and time-of-use for EV charging station load in the CCIES. Moreover, multiple uncertainties threaten the secure and economic operation of the CCIES. To deal with these challenges, this paper establishes an interval optimization (IO) based economic dispatch (ED) model, considering the uncertain parameters, including ambient temperature, DR parameters, pipeline parameters, and maximum available PV power output. To improve the solution efficiency, the nonlinear constraints are linearized by applying multi-layer perceptron and affine arithmetic. The order relation and the possibility degrees of intervals are used to transform the interval ED model into a bi-level optimization model. The extreme value theorem of linear interval functions is used to obtain the analytical expressions of the optimal solutions of inner-level models, and the ED model is finally transformed into a solvable mix-integer linear programming model. Test results from actual CCIES demonstrate that the DR can improve the economy and reduce the uncertain fluctuation range of both the objective function and state variables. The ED result can maintain an economical and secure operation under multiple uncertain fluctuations.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1297-1311"},"PeriodicalIF":6.9,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609274","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243863","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

PFL-DSSE: A Personalized Federated Learning Approach for Distribution System State Estimation PFL-DSSE：用于配电系统状态估计的个性化联合学习方法

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-07-24 DOI: 10.17775/CSEEJPES.2023.08830

Huayi Wu;Zhao Xu;Jiaqi Ruan;Xianzhuo Sun

引用次数: 0

Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network 考虑区域供热网络重构增强虚拟电厂灵活性

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2024-07-24 DOI: 10.17775/CSEEJPES.2022.08680

Peinan Fan;Yixun Xue;Haotian Zhao;Xinyue Chang;Jia Su;Ke Wang;Hongbin Sun

{"title":"Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network","authors":"Peinan Fan;Yixun Xue;Haotian Zhao;Xinyue Chang;Jia Su;Ke Wang;Hongbin Sun","doi":"10.17775/CSEEJPES.2022.08680","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08680","url":null,"abstract":"Large-scale renewable energy penetration desires higher flexibility in the power system. Combined heat and power virtual power plants (CUP-VPPs) provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system. The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches. Similarly, the heat flow profile can be redistributed in the district heating system (DHS) with valve switching and provide notable flexibility for CHP-VPPs self-scheduling. To address this issue, an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets, which is formulated as an adjustable robust optimization (ARO) problem to assure the realizability of all dispatch requests. The energy flow model is introduced in DHS formulation to make the model solvable. Due to the binary switching variables in the second stage of the proposed ARO problem, classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed. Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"826-837"},"PeriodicalIF":6.9,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856273","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