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IEEE Student Conference on Electric Machines and systems

作者： Chao Song Mengcan Tan Mingzhao Chu Chihan Zhou Guojie Tian Longfei Mu Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China Changyi Supply Company Marketing Department State Grid Shandong Electric Power Company Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement system (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system.

关键词： Time-frequency analysis system performance Optimal control power system stability system recovery Stability analysis Real-time systems Wide area measurements Voltage control Thermal stability

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A Data-Physics Fusion-Based Approach to power system Equivalent Inertia Assessment

A Data-Physics Fusion-Based Approach to Power System Equival...

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IEEE Student Conference on Electric Machines and systems

作者： Chihan Zhou Changtao Kan Gengkun Li Pengming Zhai Guojie Tian Shuang Liang Shuolin Zhang State Grid Kunming Power Supply Company Kunming China State Grid Jinan Power Supply Company Jinan China State Grid Zhejiang Electric Power Co. Ltd. Lishui Supply Branch Lishui China Wenshan Power Supply Bureau of Yunnan Power Grid Co. Ltd. Grid Metering Center of Yunnan Power Grid Co. Ltd. Wenshan China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

In order to solve the error problem of the traditional inertia assessment method, a power system equivalent inertia assessment method incorporating machine learning technology is proposed. First, a physical model of single-machine equivalence is used, combined with a convolutional neural network (CNN) with self-adaptive and learning capabilities as a machine learning model. Second, the strongly correlated feature quantities are selected as inputs by analyzing the model structure and calculating the correlation between the inertia time constant and other feature quantities. In addition, the computational results of traditional evaluation methods are incorporated into the data model inputs, and the model parameters are optimized using the particle swarm optimization (PSO) algorithm. The simulation results prove that the proposed method has certain advantages in improving the accuracy of inertia estimation compared with the traditional method.

关键词： Training Accuracy Computational modeling Estimation Machine learning power system stability Data models Stability analysis Convolutional neural networks Particle swarm optimization

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Optimal sizing of hybrid energy storage system considering power smoothing and transient frequency regulation

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2022年第PartA期142卷

作者： Cao, Yongji Wu, Qiuwei Zhang, Hengxu Li, Changgang Tech Univ Denmark Ctr Elect Power & Energy Dept Elect Engn DK-2800 Lyngby Denmark Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch Control Mi Jinan 250061 Peoples R China

The increasing integration of renewable energy sources (RESs) poses challenges of active power balance in both the normal operating states and contingencies. The hybrid energy storage system (HESS) consisting of the battery and supercapacitor is flexible, and can provide additional regulation capability. This paper proposes an optimal sizing scheme for the HESS considering power smoothing in steady-state operation and transient frequency regulation after disturbances. First, the output power of RESs is decomposed by the discrete wavelet transform, and the low-and high-frequency fluctuations are separately allocated to the battery and supercapacitor for smoothing. Then, an extended system frequency response model is developed for estimating the required tran-sient frequency regulation capability (TFRC) of the HESS to arrest frequency excursion in contingencies. Furthermore, taking into account the fluctuation smoothing, required TFRC and investment cost, a multi-objective optimization model is established to optimize the size of the HESS. Additionally, the linear weighted method and generalized Benders decomposition are utilized to divide the optimization model into two stages, where a master problem and two subproblems are solved iteratively. A case study is conducted to validate the proposed scheme, showing high cost efficiency, and superior performance in smoothing power fluctuation and improving frequency nadir.

关键词： Frequency stability Hybrid energy storage system power smoothing system frequency response model

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Fast Adaptive Auto-Reclosing Strategy of Mmc-Hvdc Transmission Line Based on Half-Bridge Pathway Injection Signal

SSRN

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SSRN 2022年

作者： Deng, Xiangli Wang, Peng Liao, Yuelin Zhao, Jinbin Liu, Shiming School of Electric Engineering Shanghai University of Electric Power Yangpu District Shanghai 200090 China State Grid Wenzhou Power Supply Company Zhejiang Province Wenzhou325000 China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Ji’nan Shandong Province 250061 China

The probability of instantaneous grounding fault during overhead line transmission is high, and it is necessary to configure an efficient restart plan to restore the system. The traditional reclosing strategy is easy to cause secondary overcurrent shock when the permanent fault is reclosed. The conventional scheme based on active injection signal for fault identification during the reclosing period only considers single-pole identification and will affect the normal operation of the power grid. Aiming at the above problems, a fault identification method based on half-bridge modular multilevel converter (MMC) injection signal is proposed. The proposed method completes the identification of multiple types of faults during reclosing without affecting the normal operation of the sound pole line by adding a control strategy to the valve controller to cooperate with the dc circuit breaker to actively inject characteristic signals. The method has no special requirements for the topology of the MMC sub-module, improves the detection accuracy of the transition resistance, quickly identifies the fault, and has little impact on the power grid operation. The four-terminal MMC-HVDC simulation model is built on PSCAD/EMTDC, and the simulation results verify the effectiveness of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Poles

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Modeling and Formulation of Delayed Cyber-Physical power system for Small-Signal Stability Analysis and control

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IEEE TRANSACTIONS ON power systemS 2019年第3期34卷 2419-2432页

作者： Ye, Hua Liu, Kehan Mou, Qianying Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

Modeling and formulation of a delayed cyber-physical power system (DCPPS) are the basis of small-signal stability analysis and control synthesis of the system. First, a logic describing the interconnections between various systems of delayed differential algebraic equations (DDAEs) and delayed differential equations (DDEs) is established. It clearly shows the transformation of the most general DDAEs of the non-index-1 Hessenberg form to the widely used DDEs with finite terms of actual delays. Second, the DDAE model of the index-1 Hessenberg form is formulated in detail for DCPPS, which features in preserving the inherent sparsity in system's augmented state matrix. Exploiting the sparsity guarantees the scalability in stability analysis and controller design of a large DCPPS. Third, three delay merge properties are presented with complete proofs, which indicate that the feedback and control delays in one control loop can be treated as one single time delay. The properties facilitate modeling and formulating DCPPS. Last, numerical studies are carried out on a real-life large DCPPS with wide-area damping controllers embedded. Test results validate the correctness of the presented theoretical backgrounds.

关键词： Cyber-physical power system delayed differential algebraic equation delayed differential equation eigen-analysis small signal stability time delay wide-area damping control wide-area measurement system

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Long-Term Frequency Stability Assessment Based on Extended Frequency Response Model

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IEEE ACCESS 2020年 8卷 122444-122455页

作者： Xie, Yuzheng Li, Changgang Zhang, Hengxu Sun, Huadong Terzija, Vladimir Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China China Elect Power Res Inst Beijing 100192 Peoples R China Univ Manchester Sch Elect & Elect Engn Manchester M60 1QD Lancs England

Large frequency deviation degrades the operation performance of the boiler and its auxiliaries. It affects the output of thermal power units. A significant change in power generation leads to a great frequency deviation. An extended frequency response model for long-term frequency stability assessment is constructed to consider the effects of frequency deviations on boiler auxiliaries. The static power-frequency characteristic of the thermal power unit within an extensive frequency variation range is analyzed. It reveals that the active power output of the generating unit is not monotonically increasing with frequency dropping. An inflection point is observed on the static power-frequency characteristic curve when considering boiler auxiliary frequency characteristics. In the range of greater frequency deviation, the output power decreases rapidly with frequency declination, and an unstable equilibrium point (UEP) of frequency stability is identified. A quantitative index is proposed for frequency stability assessment based on UEP. The stability characteristic and the frequency stability quantitative index based on UEP are analyzed. The frequency dynamic behaviors of the extended model are demonstrated to analyze frequency stability characteristics within an extensive frequency variation range by a single machine system and the IEEE 39-bus system with considering boilers and its auxiliaries.

关键词： power system thermal power plant auxiliaries frequency stability

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Generation expansion planning considering efficient linear EENS formulation

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Global Energy Interconnection 2021年第3期4卷 273-284页

作者： Donglei Sun Zhijie Zheng Shuai Liu Mingqiang Wang Yi Sun Dong Liu Economic&Technology Research Institute State Grid Shandong Electric Power CompanyJinan 250021Shandong ProvinceP.R China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061Shandong ProvinceP.R China ELSEVIER

power system equipment outages are one of the most important factors affecting the reliability and economy of power *** is crucial to consider the reliability of the planning *** this paper,a generation expansion planning(GEP)model is proposed,in which the candidate generating units and energy storage systems(ESSs)are simultaneously planned by minimizing the cost incurred on investment,operation,reserve,and *** reliability cost is computed by multiplying the value of lost load(VOLL)with the expected energy not supplied(EENS),and this model makes a compromise between economy and *** the computation of EENS makes the major computation impediment of the entire model,a new efficient linear EENS formulation is proposed and applied in a multi-step GEP *** doing so,the computation efficiency is significantly improved,and the solution accuracy is still *** proposed GEP model is illustrated using the IEEE-RTS system to validate the effectiveness and superiority of the new model.

关键词： Expected energy not supplied Generation expansion planning Linearization methods

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Dominant mode identification and influence mechanism investigation of frequency oscillations as affected by automatic generation control

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2023年第1期148卷

作者： Zhou, Tao Chen, Liufu Bu, Siqi Ye, Hua Sun, Jie Nanjing Univ Sci & Technol Sch Automat Nanjing Peoples R China State Grid Chongqing Elect Power Res Inst Chongqing Peoples R China Hong Kong Polytech Univ Dept Elect Engn Hong Kong Peoples R China Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Nanjing Univ Sci & Technol Sch Automat Nanjing 210094 Peoples R China

Several frequency oscillation events have recently been observed in practical power grids, which are strongly related with dynamic process of AGC (automatic generation control). This kind of oscillations are caused by the phase relation mismatching between mechanical powers and rotational speeds and the detailed dynamic performance and oscillation mechanism are not clear and deserve in-depth investigations. Motivated by this, this paper establishes the state-space model of multi-area AGC systems containing different kinds of generator units and time-scale dynamics. Without distinguishing AGC and PFR (primary frequency regulation) modes, Homotopy method is applied to identify the dominant mode and thus analyze the key influencing factors of frequency oscillations affected by AGC dynamics. The method can clearly establish the congruent relationship between eigenvalues and state variables and is more rapid and intuitive to identify the dominant mode for AGC oscillations. The correctness and feasibility of the proposed method are validated by time-domain simulations and results analysis. Finally, simulations are performed in single-area as well as four-area system based on real data to demonstrate the proposed model and method. And relevant parameter influence mechanism and oscillation performances are investigated for AGC system oscillations.

关键词： Automatic generation control Primary frequency regulation Ultra-low frequency oscillation Homotopy method Time delay

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Online Thevenin Equivalent Parameter Identification Method of Large power Grids Using LU Factorization

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IEEE TRANSACTIONS ON power systemS 2019年第6期34卷 4464-4475页

作者： Yun, Zhihao Cui, Xinhui Ma, Kaigang Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

Real-time tracking and identification of Thevenin equivalent parameters is crucial for voltage stability online monitoring of large power grids. An online parameter identification method based on wide-area measurements and nodal analysis is proposed in this paper. The node-voltage equation is utilized directly, and the open-circuit voltage is calculated accurately as the Thevenin equivalent voltage of load buses. Moreover, the equivalent parameters can be identified precisely under the generator reactive power over-limit condition. To avoid repetitive Gaussian elimination of the high-dimensional linear system, lower upper factorization and optimized substitution are used to accelerate the open-circuit voltage solution process. The simulation results of multiple test systems demonstrate the accuracy and rapidity of the proposed method.

关键词： Large power grid reactive power limitation Thevenin equivalent parameters wide-area measurement system

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Reserve Optimization Considering Reserve Deployment Process

Reserve Optimization Considering Reserve Deployment Process

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Wang, Zhixin Wang, Mingqiang Fang, Zhen Li, Jianying Li, Jianjie Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China State Grid Binzhou Supple Co Binzhou Peoples R China

ISBN: (纸本)9781728156224

In this paper, we propose a reserve optimization model considering the reserve deployment process. The reserve is determined by an endogenous cost/benefit analysis between the scheduling cost and expected interruption cost which is computed by multiplying value of lost load (VOLL) with expected energy not supplied (EENS). The reserve availability of a unit, which depends on its actual ramp rate schedule is considered when computing the EENS. Moreover, an approximate method is proposed to reduce the computation burden and ensure the system security. The efficiency and validity of the proposed method are verified using the IEEE-RTS system.

关键词： expected energy not supplied reserve optimization ramp rate constraint reserve availability

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