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Modeling and small-signal stability analysis of doubly-fed induction generator integrated system

Global energy Interconnection 2023年第4期6卷 438-449页

作者： Tianming Gu Puyu Wang Dingyuan Liu Ao Sun Dejian Yang Gangui Yan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China School of Automation Nanjing University of Science and TechnologyNanjing 210094Jiangsu ProvinceP.R.China

Owing to their stability,doubly-fed induction generator(DFIG)integrated systems have gained considerable interest and are the most widely implemented type of wind turbines and due to the increasing escalation of the wind generation penetration rate in power *** this study,we investigate a DFIG integrated system comprising four modules:(1)a wind turbine that considers the maximum power point tracking and pitch-angle control,(2)induction generator,(3)rotor/grid-side converter with the corresponding control strategy,and(4)AC power *** detailed small-signal modeling of the entire system is performed by linearizing the dynamic characteristic equation at the steady-state ***,a dichotomy method is proposed based on the maximum eigenvalue real part function to obtain the critical value of the ***-locus analysis is employed to analyze the impact of changes in the phase-locked loop,short-circuit ratio,and blade inertia on the system ***,the accuracy of the small-signal model and the real and imaginary parts of the calculated dominant poles in the theoretical analysis are verified using PSCAD/EMTDC.

关键词： Doubly-fed induction generator(DFIG) Maximum power point tracking Dichotomy Small-signal stability

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Fault Location Method for Dc Distribution Network Based on Compressed Sensing Group Sparse Representation

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SSRN 2024年

作者： Wang, He Liu, Yiqi Li, Shiqiang Yu, Huanan Bian, Jing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin Province Jilin132012 China

The common faults in a direct current (DC) distribution network consist of pole-to-pole faults and pole-to-ground faults. Under conditions of sparse configuration of measurement devices, existing fault location methods are unable to simultaneously locate pole-to-ground faults and pole-to-pole faults, and issues such as indistinct fault characteristics under the influence of transition resistance and noise are encountered. In response to these challenges, a fault location method for DC distribution networks is proposed based on compressed sensing group sparse representation. Firstly, the pole-to-mode transformation is utilized to convert the positive and negative pole electrical quantities of the DC distribution network into zero-mode and one-mode electrical quantities. Equivalent circuits for pole-to-ground faults and pole-to-pole faults are established separately, enhancing the fault characteristics corresponding to the two different short circuit faults. Secondly, the obtained impedance matrices for zero-mode and one-mode are constructed into a group sparse dictionary. By utilizing compressed sensing group sparse representation, the sparse current vector of high-frequency mode quantities is obtained, enabling the correct identification of fault types and accurate location of fault sections. Finally, a simulation model of the DC distribution network is built on the PSCAD platform to validate the effectiveness of the proposed fault location method. © 2024, The Authors. All rights reserved.

关键词： Electric power distribution

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Topology Optimization for Harmonic Excitation Structures with Minimum Length Scale control Using the Discrete Variable Method

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 1941-1964页

作者： Hongliang Liu Peijin Wang Yuan Liang Kai Long Dixiong Yang Key Laboratory of Liaoning Province for Composite Structural Analysis of Aerocraft and Simulation College of Aerospace EngineeringShenyang Aerospace UniversityShenyang110136China State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsDalian University of TechnologyDalian116023China State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing102206China

Continuumtopology optimization considering the vibration response is of great value in the engineering structure *** aimof this studyis toaddress the topological designoptimizationof harmonic excitationstructureswith minimumlength scale control to facilitate *** topology design based on discrete variables is proposed to avoid localized vibration modes,gray regions and fuzzy boundaries in harmonic excitation topology *** topological design model and sensitivity formulation are *** requirement of minimum size control is transformed into a geometric constraint using the discrete ***,thin bars,small holes,and sharp corners,which are not conducive to the manufacturing process,can be eliminated from the design *** present optimization design can efficiently achieve a 0–1 topology configuration with a significantly improved resonance frequency in a wide range of excitation ***,the optimal solution for harmonic excitation topology optimization is not necessarily symmetric when the load and support are symmetric,which is a distinct difference fromthe static optimization ***,one-half of the design domain cannot be selected according to the load and support *** examples are presented to demonstrate the effectiveness of the discrete variable design for excitation frequency topology optimization,and to improve the design manufacturability.

关键词： Discrete variable topology optimization harmonic excitation minimumlength scale control geometric constraint manufacturability

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Info-Hkelm Wind power Short-Term Prediction Based on Wind power Low Output Event Identification and Multi-Scenario Error Compensation

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SSRN 2023年

作者： Yang, Mao Guo, Yunfeng Huang, Yutong Gu, Dake Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China

The penetration of a high percentage of renewable energy poses a challenge to the safe and stable operation of the power system, frequent wind power low output events have seriously affected power dispatch and power supply reliability, it becomes necessary to anticipate the occurrence of wind power low output events in advance and to develop effective supply assurance measures. In this paper, we propose a method for identifying and accurately predicting wind power low output events, firstly, we define wind power low output events and identify low output event types based on CNN-BiGRU. Secondly, A weighted clustering comprehensive assessment indicator is proposed to evaluate the effect of clustering of low output events, hybrid kernel extreme learning machine based on weighted mean of vectors algorithm optimization (INFO-HKELM) is used for preliminary prediction of low output events in different scenarios, and a multi-scenario error compensation mechanism based on similar fragment matching is proposed for further correction of power prediction results. The proposed method was applied to a wind farm in Inner Mongolia Autonomous Region for validation. Compared with the rest of the methods, the NRMSE of the method in this paper decreases by 1.56%~1.7%, NMAE decreases by 0.6%~1.11%, and R2 increases by 2.50%~2.92%. The multi-scenario error compensation mechanism reduces the NRMSE and NMAE of the preliminary power prediction results by 1.3% and 1.4%, respectively, which further improves the prediction accuracy and proves the effectiveness of the proposed method in this paper. © 2023, The Authors. All rights reserved.

关键词： Wind power

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Emergency Direct Current power Support for High-Percentage renewable energy systems Based on Deep Reinforcement Learning

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SSRN 2024年

作者： Sun, Zhenglong Zhuang, Junzhi Chao, Pan Chao, Jiang Cai, Guowei The Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

As a low-cost emergency frequency control method, emergency direct current power support (EPS) is crucial for frequency stabilization of alternating current (AC)–direct current (DC) hybrid systems. In the context of highly integrated renewable energy sources, the uncertainty of AC-DC hybrid systems increases and the inertia decreases during the transition process, and the existing EPS methods face prominent adaptation and mismatch problems in meeting the frequency restoration requirements. To fill this gap, this study proposes a deep reinforcement learning (DRL)-based EPS frequency control method. The EPS decision is transformed into a Markov decision process (MDP) and solved using the proximal policy optimization (PPO) algorithm. This paper designs a DRL reward function for EPS while taking into account the EPS line overload and phase change failure problems. In order to solve the contradiction between limited observation and global safety, this paper designs a data characterization method based on mechanism fusion. Meanwhile, this paper develops an open-source power system simulation platform with DRL control function by using Python and the power system simulation software DIgSILENT/powerFactory to realize the EPS frequency stabilization decision based on DRL control. Through a case study of the IEEE 39-bus system and a real power system in Northwest China, it is verified that the proposed DRL-based EPS agent is able to quickly, accurately, and securely restore the frequency and reduce the frequency oscillations while considering the security constraints. © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Research on Comprehensive Assessment Method of Battery Consistency Based on Scaled energy Storage power Station 9

Research on Comprehensive Assessment Method of Battery Consi...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Kepaiyitulla, Tursun Li, Ming Zheng, Yunping Zong, Sijia Luo, Xingyan Wang, Shangxing Li, Xiangjun Xinjiang Key Laboratory of Whole Process Simulation for Power System State Grid Xinjiang Electric Power Research Institute Urumqi China State Key Laboratory of Operation Ad Control of Renewable Energy and Storage Systems China Electric Power Research Istitute Beijing100192 China

ISBN: (纸本)9798350309638

In the long-term operation of a megawatt-scale energy storage plant composed of series-parallel connections, the single batteries will have different degrees of inconsistency problems. To solve this problem, this paper proposes a comprehensive assessment method based on the consistency of batteries in scaled energy storage power stations. According to the consistency indexes such as single battery voltage and voltage polarity difference in series connection between modules, the consistency evaluation criterion of battery monomer was established. Based on the historical data of a battery energy storage system, the consistency evaluation criterion of a single battery is used to analyze the consistency of a single battery of an energy storage power station at different charging and discharging stages. The results show that this method can accurately assess cell consistency. It provides data support for the health status assessment of energy storage plants and reduces the systematic operational risk of energy storage plants. © 2024 IEEE.

关键词： Digital storage

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

Ancillary service for frequency regulation based on multi-en...

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11th IET International Conference on Advances in power system control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Model predictive control

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Optimal short-term load dispatch strategy in wind farm

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Science China(Technological Sciences) 2012年第4期55卷 1140-1145页

作者： LIU JiZhen LIU Yu ZENG DeLiang LIU JiWei LU You HU Yang State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power UniversityBeijing 102206China

With the increasing number of wind farms in power systems, the scheduling of a single wind farm needs to be improved. For this end, this paper proposes an optimal short-term load dispatch strategy for a single wind farm. Firstly, considering the large number of wind units and the high dimensionality of the scheduling solutions, we analyze the unit load characteristics, from which we extract the unit load characteristic matrix, and then classify the wind power units with the FCM fuzzy clustering algorithm. Secondly, we define the running loss indicator and action loss indicator. Based on the prediction of wind power and the load instructions, we establish a unit commitment model in wind farm, and solve the model using a combination of the fuzzy clustering algorithm and genetic algorithm, which overcomes the difficulty of the high dimensionality of the solution in the wind farm scheduling problem, to obtain the optimal scheduling strategy. Finally, through the simulation of the scheduling strategy for a 45 MW wind farm, we demonstrate the feasibility and effectiveness of the proposed strategy.

关键词： wind power unit commitment nonlinear programming optimal load dispatching probem

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Damping Torque Analysis of the PLL Low-Frequency Components for Grid Following VSG

Damping Torque Analysis of the PLL Low-Frequency Components ...

引用

2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022

作者： Zhou, Yichen Li, Sha Sun, Jiahui Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Electrical and Electronic Engineering North China Electric Power University Jilin China Guangdong Power Grid Corporation Dongguan Power Supply Bureau China Southern Power Grid Guangdong Dongguan China North China Electric Power University Electrical and Electronic Engineering Hebei Baoding China

ISBN: (数字)9781665498357

ISBN: (纸本)9781665498357

Phase-locked loop (PLL) is the key tool for the grid-connected inverter to track the frequency and phase of the grid voltage when synchronizing with the power grid. Therefore, the stability of PLL is particularly important. This paper proposes a damping torque analysis method to study the stability of the low-frequency component of PLL for the grid following a virtual synchronous generator (VSG). Firstly, the small signal model is established for the grid following VSG with a dual-loop structure. Secondly, the damping torque analysis method is provided especially for the stability analysis of PLL low-frequency components. And the corresponding stability criterion is constructed. Finally, significant factors that affect the stability of PLL low-frequency components are studied by the test system and the corresponding mechanism is revealed, including the influence of line reactance, PLL control parameters, and virtual damping. Results show that the stability of PLL is greatly dominated by the low-frequency component, whose stability can be improved by adopting a smaller integral coefficient of PLL, smaller virtual inertia, and larger virtual damping D. © 2022 IEEE.

关键词： Stability criteria

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The design and simulation of the 3MW direct drive wind turbine's controller to decrease vibration of the tower 32

The design and simulation of the 3MW direct drive wind turbi...

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32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017

作者： Zhenghou, Yang Guoqiang, Zhang Yuan, Wen Ying, Deng Beijing Huaneng Xinrui Control Technology Co. Ltd. Beijing102209 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Renewable Energy North China Electric Power University Beijing102206 China

ISBN: (纸本)9781538629017

Because the environment that the wind turbine runs in is severe, the generating efficiency is low and the vibration of tower is very obvious. The consequence not only causes economic loss but also lead to the reduction of the wind turbine's lifetime. Basing on the traditional PI controlling system, this passage mainly studies to decrease the vibration of the tower by adjusting the controlling PI parameters and adding the tower damper. Establishing the wind turbine's linear, constant, SISO model, selecting the controlling parameters by MATLAB simulation at different isolate wind speed to achieve stable and fast controlling. At different isolate wind speeds, adding the tower damper to decrease the acceleration of tower. At last making global simulation with Bladed to verify and compare the traditional PI strategy with the new strategy. The result of the simulation with Bladed shows the strategy decreases the vibration of the tower and protect the wind turbine. © 2017 IEEE.

关键词： Towers

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