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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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Analytical Monodromy Matrix Method for Small-Signal Stability Analysis of Grid-Connected Modular Multilevel Converter systems

SSRN

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SSRN 2024年

作者： Jia, Xiaofan Ye, Hua Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China

Modular multilevel converters (MMCs) have been widely used in high-voltage direct current (HVDC) transmission systems, renewable energy and storage integration, static var compensation, and so on. The nonlinear time-periodic nature of MMCs leads to complex harmonic interactions and poses significant challenges to the small-signal stability analysis of grid-connected MMC systems. The Floquet theory-based monodromy matrix method can accurately achieve this task but requires time-consuming numerical integration to construct the matrix. To address this, an analytical monodromy matrix method is proposed in this paper for efficient and accurate small-signal stability analysis of grid-connected MMC systems. First, an analytical monodromy matrix of linear time-periodic (LTP) systems, i.e., the system's state transition matrix over a period, is efficiently constructed by applying the Chebyshev collocation method instead of numerical integration. In addition to low computational burden, the analytical feature of the matrix allows one to derive the derivative-based eigenvalue sensitivity. Then, the system free-response solution is efficiently computed by means of a set of analytical state transition matrices. By using the fast Fourier transform, the effective oscillation components in critical LTP modes and the related participation factors are identified. Both participation factor analysis and damping ratio analysis can be performed to gain insightful characterization of system dynamics. The correctness and effectiveness of the proposed method are verified on an exemplary grid-connected MMC system by both numerical and experimental results. © 2024, The Authors. All rights reserved.

关键词： Fast Fourier transforms

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Two-Stage Virtual Inertia control Strategy with Coordination of Energy Storage system 3

Two-Stage Virtual Inertia Control Strategy with Coordination...

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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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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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Bi-Level Joint Planning of Transmission Network and Energy Storage system to Enhance Flexibility

Bi-Level Joint Planning of Transmission Network and Energy S...

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2023 International Conference on power Energy systems and Applications, ICoPESA 2023

作者： Meng, Xiangfei Sun, Yi Zou, Shihao Cao, Yongji Zhang, Hengxu Liu, Rui Wang, Xian Wang, Yao Economic and Technological Research Institute State Grid Shandong Electric Power Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Shandong University Academy of Intelligent Innovation Jinan China

ISBN: (纸本)9798350345605

The high proportion of renewable energies make the operation state of the power system more complicated. This paper proposes a bi-level joint planning approach considering the flexibility of the power system, which proposes for the transmission network and energy storage. By building a network flexibility index and adding a flexibility objective function, a bi-level optimization model is established to improve the power system flexibility and reducing investment cost. In addition, the outer model is solved by the snake optimization algorithm. The analysis results show that the joint planning model can effectively improve the flexibility of power system, and has economic advantages compared with the transmission lines expansion. © 2023 IEEE.

关键词： Energy storage

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Coordinated control Strategy of Grid-Connected Photovoltaic Generation system 8

Coordinated Control Strategy of Grid-Connected Photovoltaic ...

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8th Asia Conference on power and Electrical Engineering, ACPEE 2023

作者： Zhang, Jian Zhang, Hengxu Cao, Yongji Liu, Xiaoming Zou, Shihao Ma, Ruicong Shandong University Key Laboratory of Power System Intelligent Dispatch Control of the Ministry of Education Jinan China Shandong University Academy of Intelligent Innovation Jinan China Economic and Technological Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350345520

The development and utilization of renewable energy is imperative, and photovoltaic power generation has broad development prospects. However, photovoltaic power generation systems are limited by many external conditions, which bring more problems to power output and grid connected power quality. Therefore, in order to make better use of photovoltaic power generation, this paper proposes a coordinated control strategy of the grid-connected photovoltaic generation system. The operating principle, mathematical model, and output characteristics of photovoltaic cells are analyzed. Then, the MPPT algorithm and the operating principle of DC/DC converters are studied. Moreover, the structure and control strategy of grid connected inverters are analyzed. A simulation model of a three-phase photovoltaic grid-connected inverter system is established, and a control strategy based on grid voltage orientation is adopted. A case study is conducted to verify the proposed control strategy. © 2023 IEEE.

关键词： Maximum power point trackers

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Voltage-Coupled Cascading Trip-off within Permanent Magnet Synchronous Generator Based Wind Farm during Low Voltage Ride Through 1

Voltage-Coupled Cascading Trip-off within Permanent Magnet S...

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2024 1st International Conference on Smart Grids and power systems, ICSGPS 2024

作者： Zhang, Yujiang Ding, Zewen Zhang, Pengcheng Zou, Xin Yao, Ruizhe Wang, Fei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China State Grid Economic and Technological Research Institute CO. Ltd State Grid Corporation of China Beijing China

With the increasing penetration of renewable energy, power electronic interfaced devices have become dominant in power system. It is necessary to investigate the dynamic process of the power grid in a smaller time scale. In case of failing in low voltage ride through (LVRT), the traditional method that treats the response of permanent magnet synchronous generator (PMSG) based wind farm as a one-time trip-off cannot accurately model the cascading failures in such a new-type power system. This paper focuses on this issue and conducts a detailed study of the dynamic process in a PMSG wind farm during LVRT. Firstly, we reveal an evolution mechanism of voltage-coupled cascading trip-offs in PMSG wind farm. Then, the wind farm based on PMSG is modeled in DIgSILENT/powerFactory. The model takes into account the voltage losses on the power collection line inside the wind farm, and each wind turbine includes an independent control model. Finally, by simulation, we obtain the principle on cascading failures of internal wind turbines in the wind farm, and confirm the interaction mechanism between turbines as well as the detailed process of cascading failures. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Wind turbines

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Research on Operating system Runtime Jitter control Method for Electromagnetic Transient Real time Simulation Calculation 3

Research on Operating System Runtime Jitter Control Method f...

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3rd International Symposium on Computer Technology and Information Science, ISCTIS 2023

作者： Guo, Qi Guo, Tianyu Lu, Yuanhong Guo, Haiping Huang, Libin Tu, Liang Control for New Energy Power System Guangdong Provincial Key Laboratory of Intelligent Operation Guangzhou China Electric Power Research Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (纸本)9798350325386

Real-time electromagnetic transient simulation can quickly analyze and solve the problems in complex large-scale power systems, realize accurate prediction and diagnosis of faults, and is a necessary means to promote the implementation of new power systems. However, the real-time simulation of electromagnetic transient puts forward strict requirements for the real-time performance of the underlying operating system. In this paper, the test method of system runtime jitter on Linux platform is designed, and the causes of jitter are analyzed based on the test results, and the control method of runtime jitter is studied. The experimental results show that the jitter of the system can be controlled in nanosecond level after using the methods of interrupt shutdown, CPU core binding and configuration of NOHZ_FULL, which can meet the needs of real-time simulation of electromagnetic transient. © 2023 IEEE.

关键词： Jitter

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Preventive control Methods for power systems Based on Improved Deep Reinforcement Learning 6

Preventive Control Methods for Power Systems Based on Improv...

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6th International Conference on power and Energy Technology, ICPET 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Zhang, Qingqing Ma, Qinfeng Liu, Mingshun An, Su Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd Guiyang China

ISBN: (纸本)9798350375855

Convergence speed, accuracy, generalization and decision transparency are very important indices for transient stability preventive control generation methods based on AI. This paper proposes a transient stability preventive control generation method based on graph deep reinforcement learning and its interpretation method using mutual information optimization. Firstly, a transient stability preventive control generation model is built based on the framework of deep reinforcement learning algorithm. The grid domain buses are mapped to the graph domain nodes and the grid graph data samples are generated. The graph convolutional neural network via initial residual and identity mapping (GCNII) is used to build the action network and the evaluation network. Secondly, based on the GCNII network, a transient stability assessment model is built and pre-trained, and graph data samples containing varies of topological structures and power flow states are applied to train the model. Then the interpretation method based on mutual information optimization is used to analyze the decision-making basis of the transient stability assessment model. The dominant factor affecting the transient instability of power system is extracted and its contribution degree is quantified, and the abduction analysis of transient stability is realized. Finally, the pre-trained transient stability assessment model is embedded in the deep reinforcement learning framework as a guide, and the power flow adjustment method is used to preferentially correct the weak factors and their influencing factors so that the transient stability prevention control strategies are obtained. The feasibility and effectiveness of the proposed method are verified in the IEEE-39 node test system. © 2024 IEEE.

关键词： Transient stability

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Adaptive Substation Load Restoration under Extreme Hot Weather Considering the Flexibility of Air Conditioners 7

Adaptive Substation Load Restoration under Extreme Hot Weath...

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7th IEEE International Conference on power and Renewable Energy, ICPRE 2022

作者： Fan, Rui Sun, Runjia Liu, Yutian Shandong University Key Laboratory of Power Grid Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

Load restoration fitting to the change of load amount, available power and outdoor temperature is an important measure to enhance power system resilience under extreme hot weather. A multi-time scale substation load restoration method considering active control of air conditioners is proposed for adaptive restoration. First, a framework of adaptive load restoration is formulated to coordinate the longtime scale whole process scheme making and short-time scale active air conditioners control. Second, an optimization model considering the whole process of substation load restoration is established to make feeder switch schemes to improve load restoration efficiency from the perspective of a long-time scale. Third, model predictive control is adopted to realize the active control of air conditioners from the perspective of a short-time scale to fit the continuously changed load amount, available power and outdoor temperature during restoration. The simulation results demonstrate that the proposed substation load restoration method can make schemes adaptively with better restoration benefit under extreme hot weather. © 2022 IEEE.

关键词： Restoration

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