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3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Lai, Yening Qie, Zhaohui Cao, Yongji Zhang, Hengxu Gao, Zhimin Qin, Hao Zhang, Jian Cao, Xuening State Grid Electric Power Research Institute Nari Group Corporation Nanjing China Shandong University Academy of Intelligent Innovation Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350303698

To address the lack of effective cooperative control of each inertia support resource, the principles of cooperative inertia control in the power system with a high percentage of renewable energies are studied and the problems of cooperative inertia control are summarized. To make the wind turbine generator (WTG) participate in inertia response based on rotor kinetic energy method and the photovoltaic (PV) unit participate in inertia response based on capacitive energy storage method. The inertia response stage enables the energy storage system (ESS) based on sag control to collaborate with the WTG and PV unit for inertia support, and the frequency recovery stage enables ESS based on fuzzy control to improve the frequency response performance. The fuzzy control rules are formulated to propose a virtual inertia cooperative control method for the WTG, PV unit, and ESS. A case study is conducted to verify the effectiveness of the proposed strategy. © 2023 IEEE.

关键词： Frequency response

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

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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

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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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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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Optimal Reactive power Adjustment Based on Jacobi Matrix Decomposition 6

Optimal Reactive Power Adjustment Based on Jacobi Matrix Dec...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Zou, Shihao Yu, Lei Cao, Yongji Zhang, Hengxu Zhou, Tao Ma, Ruicong Wang, Jifei Zhang, Xinyu Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China State Grid Zhangjiakou Electric Power Company State Grid Jibei Electric Power Company Zhangjiakou China Shandong University Academy of Intelligent Innovation Jinan China

ISBN: (纸本)9798350346671

To solve the problem of excessive reactive power and high voltage caused by renewable energy connection and the increase of the proportion of cables, a reactive power optimization approach based on the Jacobi matrix decomposition is proposed. The voltage sensitivity is obtained based on the Jacobi matrix decomposition. The reactive power resources sensitivity and reactive power network loss sensitivity are combined to determine the buses where the reactive power adjustment is carried out. The scheme of reactive power optimization that meets the voltage adjustment requirements is obtained through an iterative convergence calculation method. An urban power system is taken as the case study, which shows that the proposed method can optimize the reactive power voltage optimization effectively. © 2023 IEEE.

关键词： Reactive power

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A swarm intelligence approach for energy management of grid-connected microgrids with flexible load demand response

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INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2022年第4期46卷 4301-4319页

作者： Singh, Arvind R. Ding, Lei Raju, Dhenuvakonda Koteswara Raghav, Lolla Phani Kumar, Rangu Seshu Shandong Univ Sch Elect Engn Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Natl Inst Technol Dept Elect Engn Silchar India

Ever since its inception, the concept and application of demand-side response have continued to evolve and take a new shape in microgrid energy management. The application of demand response programs in the microgrid literature lacks the consideration of flexible price elasticity of different load categories. The realistic characterization of load-responsive models with a combination of both linear and nonlinear models is necessary to study the effect of demand response programs. To cover this research gap, the impact of price-based demand response programs on the optimal scheduling of microgrids is investigated in the presence of linear and nonlinear load models. The flexible elasticity model is adopted to characterize the actual behavior of customer responsiveness towards changes in electricity price. Five load models, namely linear, logarithmic, exponential, power, and hyperbolic, were derived for each price-based demand response program. Furthermore, the stochastic-based scenario modeling is considered to cope with the volatile renewable generation in the microgrid network. The recently reported swarm intelligence-based algorithm called the sparrow search method is intended to solve the proposed microgrid energy management issue for the first time in the literature. Fifteen case studies on the basis of distinct linear and nonlinear load scenarios have been carried out to assess the effectiveness of the methodology proposed. Finally, various techno-economic performance indices were evaluated for all case studies, and a priority-wise ranking is assigned based on the multi-criteria assessment technique.

关键词： comprehensive load-responsive model critical peak pricing energy management system flexible price elasticity microgrid real-time pricing sparrow search algorithm time of use

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Data Fitting Method of Customer Electric Energy Consumption Based on Orthogonal Polynomial Neural Network 6

Data Fitting Method of Customer Electric Energy Consumption ...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Yu, Hong Chen, Xi Zhang, Letian Wei, Lin Yang, Linlin Wang, Zixu State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350346671

The electric energy consumption data of marketoriented customers must be perfectly metered or accurately fitted, that is essential for the construction of electricity spot market. The electricity consumption behavior of market-oriented customers is complex and variable, to address the issue that the patterns of the electricity consumption data are difficult to be accurately characterized, an orthogonal polynomial neural network-based data fitting model of electric energy consumption is established. The model is implemented using Chebyshev orthogonal polynomials, Hermite orthogonal polynomials, Legendre orthogonal polynomials, and Laguerre orthogonal polynomials respectively, while the neural network weight coefficients are trained by gradient descent algorithm. The results show that the fitting effect of the same type of electricity consumption data differs significantly among different implementation methods. The neural network models using Hermite orthogonal polynomials and Laguerre orthogonal polynomials have higher fitting accuracy than other models. It is an effective way to achieve accurate data fitting of customer electricity consumption by selecting the corresponding fitting method according to the type of electricity consumption behavior. © 2023 IEEE.

关键词： Curve fitting

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Interaction Effect Laws among Multiple L-Based Grid-Connected Inverters in the Weak power Grid

Interaction Effect Laws among Multiple L-Based Grid-Connecte...

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Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Shuxian Fan Zhihao Yun Yuanqi Wang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

The long transmission lines and the increase in the number of grid-connected inverters in the weak grid make the grid impedance non-negligible. The presence of grid-equivalent impedance couples multiple inverters through the point of common coupling, thus inducing complex interactions among the inverters. Taking the L-based inverter as the research object, an equivalent model for multiple inverters in the weak grid is established, and solve its multiple-input and multiple-output expression. Two, three and four multi-inverter models are constructed by Simulink to analyze the general laws of the number of inverters, control parameters, filtering parameters and grid strength affecting the inverter interaction effect.

关键词： power transmission lines Software packages Filtering Simulation Stability criteria power system stability Transmission line measurements

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