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Multi-stage Dynamic Post-disaster Recovery Strategy for Distribution Networks Considering Integrated Energy and Transportation Networks

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CSEE Journal of power and Energy systems 2021年第2期7卷 408-420页

作者： Xinyi Jiang Jian Chen Ming Chen Zhen Wei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China State Grid Qingdao Power Supply Company Qingdao 266002China

To improve the resilience of distribution networks(DNs),a multi-stage dynamic recovery strategy is proposed in this paper,which is designed for post-disaster DN considering an integrated energy system(IES)and transportation network(TN).First,the emergency response quickly increases the output of gas turbines(GTs)in the natural gas network(NGN),and responsively reconfigures the DN in microgrids,to maximize the amount of loads to be *** single-commodity flow model is adopted to construct spanning tree ***,in the second stage of energy storage recovery,mobile energy storage systems(MESSs)are deployed to cover the shortages of power demands,i.e.,to further restore the loads after evaluating the load recovery *** Floyd algorithm based dynamic traffic assignment(DTA)is selected to obtain the optimal path of the *** the third stage,the outputs of various post-disaster recovery measures are adjusted to achieve an economically optimized *** studies demonstrate the effectiveness of the proposed dynamic post-disaster recovery strategy.

关键词： Dynamic post-disaster recovery dynamic transportation network integrated energy system resilience distribution

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Distance Protection Setting Scheme for the Loss of Main Protection in High-Voltage power Grid

Distance Protection Setting Scheme for the Loss of Main Prot...

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2023 International Conference on power system Technology, powerCon 2023

作者： Zhang, Yongjie Cong, Wei Tang, Yi Li, Yudun Li, Congcong Wang, Anning Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350300222

With the continuous construction and development of high-voltage power grids, strategies such as dual redundancy configuration of main protection have been proposed successively to ensure reliable operation of the protection. However, certain abnormal conditions, such as loss of communication power supply, failure of both main protection channels, total station DC power loss (due to fire, etc.), theoretically cannot be completely ruled out in terms of their potential occurrence. According to the power system operation regulations, when the main protection is lost, it is necessary to trip the line, which affects the normal operation of the power grid and disrupts production and daily life. Therefore, a distance protection setting scheme for the loss of main protection in high-voltage power grids has been proposed. When abnormal operating conditions occur, the proposed scheme defines the emergency protection boundary and identifies the protective devices that require protection value modifications. Following the proposed principles, necessary adjustments will be made to the setting values of these protective devices. Using PSCAD/EMTDC to construct a simulation model, the simulation results demonstrate that the proposed distance protection setting scheme in this paper does not require additional protective devices and effectively ensures the safe operation of the power grid under abnormal operating conditions. © 2023 IEEE.

关键词： Electric power system protection

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Voltage and Frequency control Coordination Strategy of Wind-PV-ESS system for Black-Start

Voltage and Frequency Control Coordination Strategy of Wind-...

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IEEE International Conference on power and Energy Applications (ICPEA)

作者： Haoda Lei Kuan Cao Runjia Sun Yutian Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

In blackout scenarios of new power systems, wind farms (WF) and photovoltaic power stations (PVS) configured with scaled energy storage system (ESS) can be used as sources to support the black-start of thermal power units. Aiming at the disturbance of system voltage and frequency during black-start, a voltage and frequency control coordination strategy of Wind-PV-ESS system for black-start is proposed. The voltage control strategy includes normal control mode and correction control mode. When the bus voltage keeps within the limit, the former coordinately distributes the reactive power of each WT and PVA to maximize the dynamic reactive power reserve. After the bus voltage is disturbed beyond the limit, the latter makes full use of the fast dynamic reactive power response characteristics of SVG and ESS to provide voltage support. In the frequency control strategy. the reference power generated by the PI controller is allocated according to the proportion of the reserve power of each wind turbine (WT) or photovoltaic array (PVA) to the total reserve to eliminate the frequency deviation. Simulation results show the effectiveness of the proposed strategy.

关键词： Photovoltaic systems Reactive power PI control Simulation power system dynamics Wind farms Wind turbines Voltage control Frequency control Radio spectrum management

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Short-Term Wind power Forecasting Based on VMD-QPSO-LSTM

Short-Term Wind Power Forecasting Based on VMD-QPSO-LSTM

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power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Peiqi Xin Hongtao Wang Haobo Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

The unpredictable and highly variable nature of wind power generation demands advanced predictive models to enhance the operational stability of power systems under non-stationary wind conditions. This study presents an innovative approach for short-term wind power prediction, ingeniously integrating Variational Mode Decomposition (VMD), Quantum Particle Swarm Optimization (QPSO), and Long Short-Term Memory (LSTM) network into a cohesive forecasting methodology. Initially, VMD is applied to deconstruct wind power data into distinct sub-modes, thus reducing data complexity and facilitating more accurate analysis. The LSTM model is then fine-tuned using QPSO to refine its hyperparameters, thereby optimizing forecast performance. Each sub-mode is forecasted through a specialized LSTM model, and the collective forecasts are compounded to form the final prediction. Comparative analyses with conventional LSTM, PSO-enhanced LSTM, and QPSO-LSTM models reveal that our proposed VMD-QPSO-LSTM approach yields significantly higher accuracy in forecasting, highlighting its potential to efficiently navigate the uncertainties associated with wind power generation.

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Virtual Oscillator Grid-Forming Inverter Stability Analysis Based on Impedance Model

Virtual Oscillator Grid-Forming Inverter Stability Analysis ...

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China International Electrical and Energy Conference (CIEEC)

作者： Shuiyuan Guo Hua Ye Jialun Yang Xiaodong Chu Qianying Mou Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Grid-forming (GFM) inverters are DC-AC converters that regulate their AC terminal frequency and voltage in response to real-time measurements. Virtual oscillator control (VOC) is an emerging strategy of grid-forming controllers. Unlike conventional phasor-based control methods such as droop control and virtual synchronous machine control, VOC is a time-domain controller that global convergence can be almost guaranteed by adding a nonlinear element. In this article, the state space model of a VOC-based inverter system connected to an infinite bus is established to access the steady-state values. In order to study the effect of nonlinear terms on the system stability, a detailed impedance model of the VOC controller is proposed. Numerical simulations validate the impedance model. Through the impedance-based method, how the nonlinear term can influence system stability is analyzed.

关键词： Analytical models Voltage measurement Stability criteria power system stability Numerical models Impedance Voltage control

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Online Monitoring Method for Transformer Winding Deformation Based on Leakage Magnetic Induction Coefficient Identification

Online Monitoring Method for Transformer Winding Deformation...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Mengfei Wu Guoxin Lu Shiming Liu Yongqi Kang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In response to the shortcomings of existing transformer winding deformation detection methods, this paper proposes an online monitoring scheme for winding deformation based on changes in leakage magnetic induction coefficients. Using the Roth method, an analytical calculation model for leakage magnetic fields under normal and deformed conditions of the windings is established, which is then validated against finite element simulations, with an error margin of less than 2%. The Recursive Least Squares algorithm is employed to extract the leakage magnetic induction coefficients in real time, which are then compared with the coefficients obtained from the analytical model to derive characteristic parameters that represent the health status of the windings. Corresponding threshold calibration methods are established, resulting in a high-sensitivity and high-reliability online monitoring scheme capable of accurately identifying various winding deformations of 5% or more, as well as determining the location of the deformed windings. Finally, finite element simulation models for both normal and deformed transformer windings are constructed in ANSYS-Maxwell, confirming the effectiveness of the online monitoring scheme.

关键词： Deformable models Analytical models Parameter estimation Deformation Windings system integration Real-time systems Finite element analysis Magnetic fields Monitoring

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Transient Stability Analysis and Enhancement of Virtual Synchronous Generator with Current Limiter

Transient Stability Analysis and Enhancement of Virtual Sync...

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China International Electrical and Energy Conference (CIEEC)

作者： Yantuan Wang Hua Ye Jialun Yang Xiaodong Chu Qianying Mou Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

The modern power system exhibits a double high characteristic, where the physical structure and control strategies of power electronic devices have altered the stability characteristics of the modern power system. This paper investigates the transient instability issue faced by virtual synchronous generators (VSG) equipped with a current limiter during grid faults. Firstly, the transient stability model of the VSG is established. Then, the equal-area criterion (EAC) is employed to reveal the mechanism of transient instability in VSG and elucidate the influence of the current limiter on the transient stability of VSG. Based on this analysis, current angle configuration methods are further proposed to enhance the transient stability of VSG. Finally, the correctness of the mechanism analysis and proposed methods is validated through simulation.

关键词： Laser mode locking Stability criteria Switches power system stability Synchronous generators Logic Transient analysis

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Transient Overvoltage Quantitative Analysis Based on Short-Circui Ratio of New Energy Generation Stations

Transient Overvoltage Quantitative Analysis Based on Short-C...

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power and Electrical Technology Conference (APET), Asia

作者： Yuhan Wu Yajie Li Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350367690

ISBN: (纸本)9798350367706

With the increasing proportion of grid-connected renewable energy sources such as photovoltaic and wind power, the stability issues caused by large-scale development of new energy sources have become prominent. Among these issues, transient overvoltage is the primary constraint limiting the large-scale development of new energy sources. Studies have shown that the occurrence of transient overvoltage is closely related to the system strength of grid-connected points for new energy sources. The weaker the system strength, the greater the risk of stability problems such as transient overvoltage. The short-circuit ratio is an important indicator for assessing the grid strength of new energy integration points. Monitoring the short-circuit ratio can effectively evaluate the strength of the new energy station's integration into the system. Therefore, based on the short-circuit ratio of new energy generation stations, this paper quantitatively analyzes the relationship between the short-circuit ratio and transient overvoltage. In future research, the short-circuit ratio can be used as a constraint condition, with transient overvoltage as an indicator, to facilitate the determination of reactive power compensation solutions for high-proportion new energy integration systems. Finally, MATLAB/simulink simulations validate the accuracy of the analysis.

关键词： Renewable energy sources Reactive power Analytical models Accuracy power system stability Wind power generation Stability analysis Voltage control Transient analysis MATLAB

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Frequency Domain Stability Analysis and Simulation of New Energy power Generation systems

Frequency Domain Stability Analysis and Simulation of New En...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Haobo Wang Hongtao Wang Peiqi Xin Zhen Song Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

Stability analysis of grid-connected inverters is advanced through impedance analysis in this study, which leads to the development of a comprehensive mathematical model and simulation. control parameters, notably the voltage inner-loop control parameter $K_{v}$, the proportional gain $K_{p}$ of the phase-locked loop (PLL), and the integral gain $K_{i}$, were meticulously adjusted to assess their effects on subsynchronous oscillations. It was determined that while the proportional gain $K_{p}$ and integral gain $K_{i}$ have a marginal impact on sub-synchronous oscillations, the voltage inner-loop control parameter $K_{i}$ significantly influences these oscillations. The insights gained from this analysis contribute to a deeper understanding of, and potential solutions for, synchronous oscillation issues. The ability to mitigate such oscillations facilitates the integration of a higher proportion of renewable energy sources, thereby enhancing the stability and reliability of the electrical power system. This enhancement is of critical importance in the pursuit of sustainable energy transitions and the advancement of clean energy sources.

关键词： power system stability Stability analysis Mathematical models Inverters power system reliability Reliability Voltage control

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Research on Microgrid Energy Storage Scheduling Strategy Incorporating Electric Vehicles Based on the DQN Algorithm

Research on Microgrid Energy Storage Scheduling Strategy Inc...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Peiqi Xin Hongtao Wang Haobo Wang Zhen Song Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

This study focuses on the scheduling of a microgrid integrated with electric vehicles, employing a reinforcement learning algorithm to devise an optimal economic operation strategy. The approach addresses the challenges of renewable energy generation’s randomness and the economic and safety concerns arising from the extensive integration of electric vehicles into the microgrid. The paper explores the reinforcement learning-based energy management of storage devices within the microgrid. A Deep Q-Network (DQN) method is utilized to formulate the microgrid storage scheduling problem as a Markov Decision Process (MDP). The study involves a detailed simulation of a residential user microgrid, considering various parameters such as battery storage capacity, charging and discharging rates, and electric vehicle load models. The reinforcement learning algorithm demonstrates the capability of real-time response to power changes in the microgrid, ensuring operational cost minimization even under multiple input uncertainties.

关键词： Renewable energy sources Uncertainty Supply and demand Microgrids Reinforcement learning Electric vehicles Scheduling

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