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An improved model for severe slugging stability criteria in offshore pipeline-riser systems

Petroleum Research 2022年第3期7卷 318-328页

作者： Adesina Fadairo Chinemerem Obi Kegang Ling Vamegh Rasouli Olumuyiwa Aboaba Olumide Gbadamosi Department of Petroleum Engineering University of North DakotaUnited States Department of Petroleum Engineering University of Texas A&MUnited States Schlumberger Oifield Services Nigeria Repsol NorgeAs Norway

Flow assurance has been a major challenge in petroleum production systems especially in offshore operations where severe slugging is a dominant aching issue.This is characterized by pulsating flow behavior which impacts the reservoir productivity,pipeline-riser systems,and surface facilities(separator).The only means so far,of delivering reservoir fluids from offshore wells to the separator at the surface is by pipeline-riser systems where slugging is most prominent and oftentimes unavoidable.Though passive and active measures have been deployed over time to mitigate the associated problem,there is the need to develop a predictive tool for mitigating offshore slugging in the riser system.This study involves the use of a model and analysis approach to eliminate severe slugging based on the balance of forces acting on the pipeline-riser system.Modified stability criteria which consider accumulation and frictional pressure drops have been developed.The current approach is solely physicsdriven,to predict the corresponding liquid and gas velocities at which the fluctuations would be severe when producing multiphase fluids through pipeline-riser systems.By balancing the forces acting on a riser-pipeline system and accounting for frictional and accumulation effects,two hydraulic flow modeling approaches have been used in this study to improve the criteria for predicting the condition of severe slugging.The developed criteria were computed using MATLAB/Simulink and a severe slugging flow map was generated.The“new study 1”and“new study 2”showed a 16%and 13%increase respectively in predicted unstable cases than the Malekzadeh criteria.The criteria were tested at different separator pressures.The Taitel and Jansen criteria could not predict severe slugging at elevated separator pressure.Notwithstanding,the developed flow maps using the“new study 1”are more reliable than the“new study 2”.This is because the“new study 2”approach over defines the physics of severe slugging.The criteria were also tested at varying accumulation

关键词： Severeslugging stability criteria Offshore Pipeline-Riser systems

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Rotor Angle stability Prediction Using Temporal and Topological Embedding Deep Neural Network Based on Grid-informed Adjacency Matrix

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 695-706页

作者： Peiyuan Sun Long Huo Xin Chen Siyuan Liang the School of Electrical Engineering Xi'an Jiaotong University the School of Electrical Engineering and the Center of Nanomaterials for Renewable Energy State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University the Department of Computer Science and Engineering The Chinese University of Hong Kong

Rotor angle stability(RAS) prediction is critically essential for maintaining normal operation of the interconnected synchronous machines in power systems. The wide deployment of phasor measurement units(PMUs) promotes the development of data-driven methods for RAS prediction. This paper proposes a temporal and topological embedding deep neural network(TTEDNN) model to accurately and efficiently predict RAS by extracting the temporal and topological features from the PMU data. The grid-informed adjacency matrix incorporates the structural and electrical parameter information of the power grid. Both the small-signal RAS with disturbance under initial operating conditions and the transient RAS with short circuits on transmission lines are considered. Case studies of the IEEE 39-bus and IEEE 300-bus power systems are used to test the performance, scalability, and robustness against measurement uncertainties of the TTEDNN model. Results show that the TTEDNN model performs best among existing deep learning models. Furthermore, the superior transfer learning ability from small-signal RAS conditions to transient RAS conditions has been proved.

关键词： Power system stability Phasor measurement units Rotors Transient analysis stability criteria Deep learning Circuit stability

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Day-ahead Voltage-stability-constrained Network Topology Optimization with Uncertainties

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 730-741页

作者： Dingli Guo Lei Wang Ticao Jiao Ke Wu Wenjing Yang the School of Electrical and Electronic Engineering Shandong University of Technology

A day-ahead voltage-stability-constrained network topology optimization(DVNTO) problem is proposed to find the day-ahead topology schemes with the minimum number of operations(including line switching and bus-bar splitting) while ensuring the sufficient hourly voltage stability margin and the engineering operation requirement of power systems. The AC continuation power flow and the uncertainty from both renewable energy sources and loads are incorporated into the formulation. The proposed DVNTO problem is a stochastic, largescale, nonlinear integer programming problem. To solve it tractably, a tailored three-stage solution methodology, including a scenario generation and reduction stage, a dynamic period partition stage, and a topology identification stage, is presented. First, to address the challenges posed by uncertainties, a novel problem-specified scenario reduction process is proposed to obtain the representative scenarios. Then, to obtain the minimum number of necessary operations to alter the network topologies for the next 24-hour horizon, a dynamic period partition strategy is presented to partition the hours into several periods according to the hourly voltage information based on the voltage stability problem. Finally, a topology identification stage is performed to identify the final network topology scheme. The effectiveness and robustness of the proposed three-stage solution methodology under different loading conditions and the effectiveness of the proposed partition strategy are evaluated on the IEEE 118-bus and 3120-bus power systems.

关键词： Power system stability Switches Uncertainty stability criteria Network topology Topology Renewable energy sources

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Detection and Defense Method Against False Data Injection Attacks for Distributed Load Frequency Control System in Microgrid

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 913-924页

作者： Zhixun Zhang Jianqiang Hu Jianquan Lu Jie Yu Jinde Cao Ardak Kashkynbayev the School of Cyber Science and Engineering Southeast University the School of Mathematics Southeast University School of Electronic Information and Electrical Engineering Chengdu University School of Electrical Engineering Southeast University the Yonsei Frontier Laboratory Yonsei University the Department of Mathematics Nazarbayev University

In the realm of microgrid(MG), the distributed load frequency control(LFC) system has proven to be highly susceptible to the negative effects of false data injection attacks(FDIAs). Considering the significant responsibility of the distributed LFC system for maintaining frequency stability within the MG, this paper proposes a detection and defense method against unobservable FDIAs in the distributed LFC system. Firstly, the method integrates a bi-directional long short-term memory(Bi LSTM) neural network and an improved whale optimization algorithm(IWOA) into the LFC controller to detect and counteract FDIAs. Secondly, to enable the Bi LSTM neural network to proficiently detect multiple types of FDIAs with utmost precision, the model employs a historical MG dataset comprising the frequency and power variances. Finally, the IWOA is utilized to optimize the proportional-integral-derivative(PID) controller parameters to counteract the negative impacts of FDIAs. The proposed detection and defense method is validated by building the distributed LFC system in Simulink.

关键词： Power system stability Frequency control Renewable energy sources Neural networks Power generation stability criteria Microgrids

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Large-disturbance stability Analysis of Power Systems with Synchronous Generator and Converter-interfaced Generation

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 997-1002页

作者： Lei Chen Yong Min Liangshuai Hao Guangzheng Xing Yalou Li Shiyun Xu IEEE Department of Electrical Engineering Tsinghua University China Electric Power Research Institute

This letter studies large-disturbance stability of the power system with a synchronous generator(SG) and a converter-interfaced generation(CIG) connected to infinite bus. The power system is multi-timescale and first simplified. It is shown that the boundary of region of attraction(ROA) of the simplified model is composed of stable manifolds of unstable equilibrium point(UEP) or semi-singular point(SSP), named anchor points, and singular surface pieces. The type of anchor point determines the dominant instability pattern of the power system. When the anchor point is UEP or SSP, the dominant instability pattern is the instability of rotor angle of SG or the instability of phase-locked loop and outer control loop(OCL) of CIG, respectively. Transition of dominant instability pattern can be analyzed with the relative position relationship between UEP and SSP. The effect of OCL is discussed. When the OCL is activated, the ROA becomes smaller and the system is more prone to instability of CIG. It is necessary to consider the OCL when studying the large-disturbance stability of the power system.

关键词： Power system stability Mathematical models Phase locked loops stability criteria Transient analysis Power system dynamics Rotors

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Transient stability Analysis of Grid-connected Converters in Wind Turbine Systems Based on Linear Lyapunov Function and Reverse-time Trajectory

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 782-790页

作者： Mohammad Kazem Bakhshizadeh Sujay Ghosh Guangya Yang ?ukasz Kocewiak ?rsted Wind Power A/S the Technical University of Denmark

As the proportion of converter-interfaced renewable energy resources in the power system is increasing, the strength of the power grid at the connection point of wind turbine generators(WTGs) is gradually weakening. Existing research has shown that when connected with the weak grid, the stability of the traditional grid-following controlled converters will deteriorate, and they are prone to unstable phenomena such as oscillation. Due to the limitations of linear analysis that cannot sufficiently capture the stability phenomena, transient stability must be investigated. So far, standalone time-domain simulations or analytical Lyapunov stability criteria have been used to investigate transient stability. However, the time-domain simulations have proven to be computationally too heavy, while analytical methods are difficult to formulate for larger systems, require many modelling assumptions, and are often conservative in estimating the stability boundary. This paper proposes and demonstrates an innovative approach to estimating the transient stability boundary via combining the linear Lyapunov function and the reverse-time trajectory technique. The proposed methodology eliminates the need of time-consuming simulations and the conservative nature of Lyapunov functions. This study brings out the clear distinction between the stability boundaries with different post-fault active current ramp rate controls. At the same time, it provides a new perspective on critical clearing time for wind turbine systems. The stability boundary is verified using time-domain simulation studies.

关键词： Power system stability Trajectory stability criteria Transient analysis Dynamical systems Time-domain analysis Wind turbines

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stability Analysis of DC Microgrid Clusters Based on Step-by-step System Matrix Building Algorithm

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 900-912页

作者： K.Jithin N.Mayadevi R.Hari Kumar V.P.Mini IEEE the Department of Electrical Engineering College of Engineering Trivandrum APJ Abdul Kalam Technological University (APJAKTU) Senior Member

DC microgrids(DCMGs) are made up of a network of sources and loads that are connected by a number of power electronic converters(PECs). The increase in the number of these PECs instigates major concerns in system stability. While interconnecting the microgrids to form a cluster, the system stability must be ensured. This paper proposes a novel stepby-step system matrix building(SMB) algorithm to update the system matrix of an existing DCMG cluster when a new microgrid is added to the cluster through a distribution line. The stability of the individual DCMGs and the DCMG cluster is analyzed using the eigenvalue method. Further, the particle swarm optimization(PSO) algorithm is used to retune the controller gains if the newly formed cluster is not stable. The simulation of the DCMG cluster is carried out in MATLAB/Simulink environment to test the proposed algorithm. The results are also validated using the OP4510 real-time simulator(RTS).

关键词： Power system stability stability criteria Microgrids Transfer functions Clustering algorithms Voltage control Eigenvalues and eigenfunctions

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Novel method of gait switching in six-legged robot walking on continuous-nondifferentiable terrain by utilizing stability and interference criteria

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Science China(Technological Sciences) 2020年第12期63卷 2527-2540页

作者： MAO LiHeng TIAN Yuan GAO Feng ZHAO Yue State Key Laboratory of Mechanical System and Vibration Department of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Continuous-nondifferentiable terrains are extremely challenging for the environment adaption of six-legged robots. Previous researches have focused on gait planning methods to improve inherent ability of legged robots to walk over moderate terrains.However,most six-legged robots utilize relatively monotonic gait so that they still cannot well adapt tough terrains. As a result,the current legged robots easily get stuck and fall when encountering continuous-nondifferentiable terrains,such as stairs.Therefore,a method of gait switching is proposed so that six-legged robots can flexibly generate multiple gaits to adapt complex terrains. This study investigated the relationship between six-legged robot gait topologies and physical constraints,such as robot stability and robot-terrain interference. The proposed gait switcher can generate 0-6,1-5,2-4 and 3-3 gaits,which is instructed by the stability and interference criteria. Simulations and experiments were performed on a novel six-legged robot Hexa-XIII that succeeded climbing stairs over 45°. The effectiveness of the gait switching method is validated by the experiment results.

关键词： six-legged robot continuous-nondifferentiable terrain gait switching method stability criteria interference criteria

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Improved delay-dependent stability criteria for systems with interval delay

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Journal of Systems Engineering and Electronics 2011年第6期22卷 998-1002页

作者： Hongbing Zeng Shenping Xiao Bin Liu School of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412008 R R. China School of Information Science and Engineering Central South University Changsha 410083 E R. China Department of Information Engineering Australian National University Canberra ACT0200 Australia

This paper deals with the problem of stability for systems with delay varying in an interval.A new Lyapunov functional,which makes use of the information of both the lower and upper bounds of the interval time-varying delay,is proposed to derive some new stability criteria.Furthermore,the relationship of the time-varying delay and its lower bound and upper bound is taken into account.As a result,some less conservative delay-dependent stability criteria are obtained without ignoring any useful information in the derivative of Lyapunov functional,which are established in the forms of linear matrix inequalities.Numerical examples are provided to show that the obtained results are better than existing ones.

关键词： stability criteria interval delay delay-dependent linear matrix inequality（LMI）.

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Optimal control approach to stability criteria on Hill's equations

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Applied Mathematics(A Journal of Chinese Universities) 2018年第3期33卷 253-273页

作者： ZU Jian LI Yong School of Mathematics and Statistics & Center for Mathematics and Interdisciplinary Sciences North-east Normal University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University College of Mathematics Jilin University

This paper gives a tutorial on how to prove Lyapunov type criteria by optimal control methods. Firstly, we consider stability criteria on Hill’s equations with nonnegative potential. By optimal control methods developed in 1990s, we obtain several stability criteria including Lyapunov’s criterion, Neǐgauz and Lidskiǐ’s criterion. Secondly, we present stability criteria on Hill’s equations with sign-changing potential in which Brog’s criterion and Krein’s criterion are included.

关键词： stability criteria optimal control method Hill's equation Lyapunov inequality

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