检索结果-内蒙古大学图书馆

Robust Consensus Based Secondary control for Microgrids Considering Communication Delay and Noises: A Kalman Filter Based Approach

引用

IEEE Transactions on Smart Grid 2025年

作者： Zhao, Qi Zhang, Wen Zhang, Tingting Chen, Jian Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan250061 China Shandong University Shandong Research Institute of Industrial Technology Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan250061 China

To achieve the frequency and voltage regulation as well as active and reactive power sharing, the consensus-based secondary controls of microgrids rely on communication network to exchange signals between neighbor inverters, which may be affected by the communication delay and noises. Unlike the existing methods that focus solely on communication delay, this paper proposes a Kalman filter-based robust consensus control to address the communication delay and noises comprehensively. Based on the discrete differential equation of the signal transmitted via communication network, the multi-step prediction model of the delayed signal is firstly built by considering the prediction errors. The state space model is then constructed by taking the predicted signals at each step as the state variables while the delayed and noise-involved signal and its differential value are seen as the measurements. A Kalman filter is further designed to comprehensively handle the communication delay, noises and prediction errors to estimate the true signal generated from neighbor inverters. With the estimated signals of all neighbor inverters, the consensus control is performed to coordinate the grid-following and grid-forming inverters within the microgrid. The effectiveness of the proposed method is demonstrated with simulations and experiments performed on the modified IEEE-33 bus-based microgrid. © 2010-2012 IEEE.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control

引用

INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2025年 166卷

作者： Song, Guocheng Wu, Qiuwei Jiao, Wenshu Lu, Lina Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China Hangzhou Dianzi Univ Informat Engn Coll Hangzhou 311305 Zhejiang Peoples R China

As the integration of renewable energy sources increases, the uncertainty of wind power and photovoltaics bring new challenges to the voltage control problem of active distribution networks (ADNs). To address these challenges, this paper proposes a double-time-scale distributed voltage control strategy for ADNs based on robust model predictive control (RMPC), which considers the coordination between multiple voltage regulation devices. In the slow-time-scale control (STC), on-load Tap changers (OLTC), step voltage regulators (SVR), and capacitor banks (CBs) are optimized to minimize long-term voltage deviations and reduce tap operations of these traditional regulation devices. On this basis, in the fast-time-scale control (FTC), the active and reactive power outputs of distributed generators (DGs) are further optimized based on RMPC to regulate the fast voltage fluctuations while considering the uncertainty of DG outputs. The RMPC model is formulated as a minimum-maximum convex optimization problem, which is transformed into a quadratic programming problem. Moreover, by equivalently processing of adjacent control areas in ADNs, the distribution network model established based on voltage sensitivity method is decomposed to accelerate the solving process. The effectiveness of the proposed double-time-scale distributed RMPC voltage control scheme has been verified in a modified Italia 54-bus system. Results demonstrate that, compared to conventional deterministic centralized control, the proposed scheme achieves 63% reduction for the maximum voltage deviation.

关键词： Distributed generator Active distribution network Robust model predictive control Distributed voltage control

来源：评论

学校读者我要写书评

暂无评论

Reduced-Dimensional controllable Region-Assisted Optimal Rotor Current control Strategy of DFIG-Based WTGs During Asymmetrical Faults

引用

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025年第1期16卷 62-80页

作者： Gao, Xuesong Wang, Zhihao Sun, Xianzhuo Ding, Lei Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Hong Kong Polytech Univ Dept Elect & Elect Engn Hong Kong 999077 Peoples R China Hong Kong Polytech Univ Res Inst Smart Energy Hong Kong 999077 Peoples R China

Doubly-fed induction generator (DFIG)-based wind turbine generators (WTGs) are required to provide grid support during asymmetrical faults and the corresponding asymmetrical current control strategy (AsymCCS) is of great importance. However, the output capability of the rotor-side converter (RSC) under asymmetrical faults lacks a concise expression. This deficiency hinders the optimal allocation of current references in AsymCCSs and may further cause RSC overcurrent and over-modulation. To address these issues, a reduced-dimensional RSC asymmetrical controllable region (AsymCR) is firstly established in this paper, describing the characteristics of the RSC output capability. The AsymCR points out that the negative sequence current output should hold a higher priority to ensure the positive sequence current output capability. Based on an AsymCR-assisted optimal stator equivalent negative sequence reactance, a novel RSC AsymCCS is then proposed. The control strategy can offer sufficient negative sequence support to the grid while enlarging the positive sequence support capability, optimally allocating the positive and negnative sequence output and effectively avoiding overcurrent and over-modulation problems. Simulations are conducted in an electromagnetic transient test system to verify the effectiveness and improved performance of the proposed method.

关键词： Stators Rotors Doubly fed induction generators Fluctuations Voltage control Vectors Modulation Asymmetrical grid fault current control strategy doubly-fed induction generator fault ride-through wind turbine

来源：评论

学校读者我要写书评

暂无评论

Prediction of Distributed Photovoltaic Accommodation Capability Based on Ridge Regression 9th

Prediction of Distributed Photovoltaic Accommodation Capabil...

引用

9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Ji, Xingquan Zhang, Bowen Zhang, Yumin Sun, Pengkai Zhang, Xiaofeng Liu, Wei dong Shandong University of Science and Technology Qingdao266590 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China Information and Communication Company State Grid Shandong Electric Power Company Jinan250013 China Qingdao Yihe Electric Group Co. Ltd. Qingdao266510 China

ISBN: (纸本)9789819616701

A prediction method of distributed photovoltaic accommodation capability is proposed based on ridge regression. First, the factors influencing the distributed photovoltaic accommodation capacity are analyzed, and the concept of the contribution degree of distributed photovoltaic accommodation is introduced. The gray relation analysis method is used to evaluate the correlation between different factors and distributed photovoltaic accommodation, and a model of factors affecting distributed photovoltaic accommodation is constructed. Then, a prediction model of distributed photovoltaic accommodation capability is established based on ridge regression. The factors with high photovoltaic accommodation contribution degrees are incorporated in the prediction model. The mapping relationship between the driving factors of distributed photovoltaic accommodation and the prediction model is derived, then the development strategies for future photovoltaic accommodation capacity are formulated. Finally, simulation is performed on the SPSSPRO platform, and the results show that the proposed method can predict the distributed photovoltaic accommodation capability accurately and provide strategic suggestions for improving future photovoltaic accommodation capacity. © State Grid Electric power 2025.

关键词： Photovoltaics

来源：评论

学校读者我要写书评

暂无评论

Cascading Failure Screening Based on Gradient Boosting Decision Tree for HVDC Sending-End systems with High Wind power Penetration

引用

IEEE Transactions on power systems 2025年

作者： Liu, Tianhao Yan, Jiongcheng Liu, Yutian Chung, Chi Yung Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Kowloon Hong Kong

In LCC-HVDC sending-end AC systems, cascading failures combined with the dynamic response of wind turbines (WTs) can lead to HVDC commutation failures. The resulting transient voltage disturbances cause WT tripping in sending-end systems. Cascading failures that involve the interaction between WTs and HVDC significantly limit the wind power transmitted by HVDC systems. This paper proposes an online cascading failure screening method based on gradient boosting decision tree (GBDT) for HVDC sending-end systems with large-scale WTs. First, a confidence level-based WT tripping model is proposed for cascading failure risk assessment considering a typical cascading failure propagation pattern. Then, Monte Carlo tree search is improved using a contrastive pruning technique to generate evenly distributed samples of cascading failures offline. Dynamic insecure scenarios are quickly identified using an improved support vector machine. Finally, GBDT is utilized to screen for cascading failures online by predicting subsequent high-risk failures using operating features. A dynamic weighting technique is proposed for GBDT to improve the fault prediction accuracy. Simulation results of a modified New England test system and the Ningxia provincial power grid in western China demonstrate that the proposed method can quickly screen for cascading failures considering the dynamic interaction between WTs and HVDC. © 1969-2012 IEEE.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Frequency Constrained Proactive Scheduling for Secure Microgrid Formation in Wind power Penetrated Distribution systems

引用

IEEE TRANSACTIONS ON SMART GRID 2025年第2期16卷 989-1002页

作者： Cai, Sheng Xie, Yunyun Zhang, Yuping Bao, Weiyu Wu, Qiuwei Chen, Chen Guo, Jian Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast BT8 5BN North Ireland Xi An Jiao Tong Univ Sch Elect Engn Xian 710049 Peoples R China

Microgrid formation (MF) is a core solution for increasing the resilience of distribution systems in extreme situations. However, a significant power imbalance at the MF onset will result in the violation of dynamic frequency constraints, especially in low-inertia wind power penetrated distribution systems (WPP-DSs). To ensure the secure MF after emergencies, this paper proposes a frequency constrained proactive scheduling method for WPP-DSs. The primary frequency response (PFR) model is proposed to describe the microgrid frequency dynamics after islanding, where wind turbines are deloaded to provide a primary reserve. Then the PFR model is incorporated into the scheduling model to ensure frequency security during MF process. The proposed method proactively dispatches controllable units to mitigate the power imbalance and to reserve power for frequency regulation. After emergencies, the primary reserve is released, and adaptive microgrids are securely formed to sustain critical services. The PFR model is formulated as algebraic differential equations (ADEs), which makes it difficult to solve the model directly. Thus, the PFR model is discretized into difference equations and further linearized to facilitate solution. Simulation results validate the merits of the proposed method in reducing the conservatism of proactive scheduling strategies and improving the microgrid security during MF process.

关键词： Wind power penetrated distribution system proactive scheduling microgrid formation power imbalance dynamic frequency security Wind power penetrated distribution system proactive scheduling microgrid formation power imbalance dynamic frequency security

来源：评论

学校读者我要写书评

暂无评论

A Multi-Objective Bi-Level LVRT control Strategy for Two-Stage PV Grid-Connected system Under Asymmetrical Faults

引用

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY 2025年第2期16卷 1467-1482页

作者： Wang, Yiqian Zhao, Qi Zhang, Wen Zhang, Tingting Sun, Xianzhuo Wei, Mingkui Shen, Li Ye, Hua Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Hong Kong Polytech Univ Dept Elect & Elect Engn Hong Kong Peoples R China Hong Kong Polytech Univ Res Inst Smart Energy Hong Kong Peoples R China State Grid Corp China Southwest Branch Chengdu 610095 Peoples R China Shandong Univ Shandong Res Inst Ind Technol Jinan 250061 Peoples R China

With the increasing integration of photovoltaics (PV) into power systems, the low-voltage ride-through (LVRT) control of PV grid-connected systems is drawing significant attention. This paper presents a multi-objective bi-level LVRT control strategy for the two-stage PV grid-connected system to maximize the positive and negative sequence voltage support capability while ensuring safe operation under asymmetrical faults. The AC level controls the grid side inverter, while the DC level regulates the boost converter. The grid voltage support control strategy is implemented at the AC level to support the positive and negative sequence voltage of the point of common coupling. Considering there is an inherent contradiction between grid voltage support with the overcurrent of inverter and DC voltage oscillation, the current references are automatically adjusted to facilitate the maximum positive and negative voltage support while limiting the overcurrent and oscillation of DC-link voltage. Based on the power reference shared from the AC level, the DC level regulates the boost converter to stabilize the DC-link voltage speedily by utilizing the compensation current. Finally, simulations and experiments demonstrate the voltage support capability and fast dynamic response characteristics of DC-link voltage in different scenarios.

关键词： Low voltage ride-through multi-objective bi-level LVRT control strategy positive and negative voltage support positive and negative voltage support two- stage PV grid-connected system two- stage PV grid-connected system

来源：评论

学校读者我要写书评

暂无评论

Two-Mode Balancing control Scheme for Modular DC/DC Converter Interfaced Battery Swapping Stations

引用

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 2025年第1期11卷 1640-1651页

作者： Ma, Zhan Gao, Feng Li, Wei Jia, Ming Wasylowski, David Lv, Qi Gao, Xiongying Zhou, Xin Uwe Sauer, Dirk Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Rhein Westfal TH Aachen Inst Power Elect & Elect Drives ISEA Chair Electrochem Energy Convers & Storage Syst D-52074 Aachen Germany Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China Southchip Semicond Technol Co Ltd Shanghai 201210 Peoples R China Rhein Westfal TH Aachen Inst Power Elect & Elect Drives ISEA Flexible Elekt Netze FEN GmbH Aachen 52074 Germany Rhein Westfal TH Aachen Inst Power Generat & Storage Syst PGS EON ERC Aachen 52074 Germany Rhein Westfal TH Aachen Inst Power Elect & Elect Drives ISEA Chair Electrochem Energy Convers & Storage Syst Aachen 52074 Germany Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Yangzhou Huading Elect Co Ltd Yangzhou 225127 Peoples R China

In comparison to the traditional structure, the utilization of the modular dc/dc converter (MDDC) for integrating power battery packs in electric vehicle (EV) battery swapping stations (BSSs) presents notable advancements in cost-effectiveness, conversion efficiency, and stability. This article introduces a two-mode balancing control scheme tailored for the state-of-charge (SoC) differences due to the distinctive plug-and-play operation of BSS. First, the proposed scheme efficiently addresses high swapping demands by expediting the generation of full battery packs using a sorting selection control during the on-grid mode. Subsequently, during the off-grid mode, a flexible energy transfer loop, incorporating the dc inductor, capacitor, and submodules (SMs), enhances balancing capabilities through an internal circulation control. It can effectively address scenarios with low swapping demands where there is a shortage of battery packs that are not fully charged. Moreover, the proposed method ensures equal switching loss distribution and accelerates balancing speed, adding to its appeal. The practical validation of the proposed scheme is achieved through a 1-kW/1-kWh MDDC-BSS prototype equipped with 16 SMs.

关键词： Battery balancing battery swapping modular dc/dc converter (MDDC) state-of-charge (SoC) Battery balancing battery swapping modular dc/dc converter (MDDC) state-of-charge (SoC)

来源：评论

学校读者我要写书评

暂无评论

Bayesian Network Based Imprecise Probability Estimation Method for Wind power Ramp Events

引用

Journal of Modern power systems and Clean Energy 2021年第6期9卷 1510-1519页

作者： Yuanchun Zhao Wenli Zhu Ming Yang Mengxia Wang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid Jinan Power Company

Although wind power ramp events(WPREs)are relatively scarce,they can inevitably deteriorate the stability of power system operation and bring risks to the trading of electricity *** this paper,an imprecise conditional probability estimation method for WPREs is proposed based on the Bayesian network(BN)*** method uses the maximum weight spanning tree(MWST)and greedy search(GS)to build a BN that has the highest fitting degree with the observed ***,an extended imprecise Dirichlet model(IDM)is developed to estimate the parameters of the BN,which quantificationally reflect the ambiguous dependencies among the random ramp event and various meteorological *** BN is then applied to predict the interval probability of each possible ramp state under the given meteorological conditions,which is expected to cover the target probability at a specified confidence *** proposed method can quantify the uncertainty of the probabilistic ramp event ***,by using the extracted dependencies and Bayesian rules,the method can simplify the conditional probability estimation and perform reliable prediction even with scarce *** results on a real wind farm with three-year operation data illustrate the effectiveness of the proposed method.

关键词： Bayesian network(BN) conditional probability imprecise Dirichlet model(IDM) imprecise probability wind power ramp events

来源：评论

学校读者我要写书评

暂无评论

Aggregate modeling and analysis of air conditioning load using coupled Fokker–Planck equations

引用

Journal of Modern power systems and Clean Energy 2018年第6期6卷 1277-1290页

作者： Dingyi CHENG Wen ZHANG Yutian LIU Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

Demand response has gained significant attention recently with the increasing penetration of renewable energy sources in power systems. Air conditioning loads are typical thermostatically controlled loads which can play an active role in ancillary services by regulating their aggregated power consumption. The aggregation of air conditioners is essential to the control of air conditioning loads. In this paper, linear state equations are proposed to aggregate air conditioning loads by solving coupled Fokker–Planck equations(CFPEs) using the finite difference method. By analyzing the numerical stability and convergence of the difference scheme, the grid spacings, including temperature step and time step, are properly determined according to the maximal principle. Stationary solutions of the CFPEs are obtained by analytical and numerical methods. Furthermore, a classification method using dimension reduction is proposed to deal with the problem of heterogeneous parameters and interval estimation is applied to describe the stochastic behavior of air conditioning loads. The simulation results verify the effectiveness of the proposed methods.

关键词： Aggregate model Air conditioner Coupled Fokker–Planck equation Grid spacing selection Heterogeneous Interval estimation Linear state equation Stationary solution

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：