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Prediction of Day-Ahead Electricity Price Based on N-BEATSx Model Optimized by SSA Considering Coupling Between Features 1

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7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Xu, Feihong Teng, Xianliang Lu, Jixiang Zheng, Tao Jin, Yulong Nanjing211106 China NARI-TECH Nanjing Control System Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous advancement of Chinese electricity market reform, the continuous improvement of the market mechanism and the integration of a large number of new energy sources have brought great challenges to the market’s clear electricity price forecast. The new energy output, load data, and tie-line power schedule are fused to obtain an improved input feature variable, which can better reflect the electricity price trend. Then, the maximum information coefficient method (MIC) was used to analyze the correlation between each characteristic variable and electricity price, and an interpretable time series prediction model (N-BEATSx) based on neural network base expansion analysis of fusion characteristic variables was adopted. It is interpretable and can solve nonlinear forecasting problems of time series with the trend, seasonality, and significant random fluctuations. For the selection of hyperparameters in the N-BEATSx prediction model, the sparrow search algorithm (SSA) is used for optimization, the optimal grid structure hyperparameters are obtained with the minimum loss function of the validation set as the objective function. To verify the validity of the proposed model, the Shanxi Province market electricity price data is taken as an example to analyze and compare with other forecasting models, the results show that the proposed model can predict the electricity price of the day before clearing well. © state grid Electric Power Research Institute 2023.

关键词： Power markets

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Vertically integrated outdoor in-site line protection based on SoC technique

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Global Energy Interconnection 2018年第2期1卷 179-186页

作者： Tonghua Wu Yuping Zheng Yutao Qiu Xiaoping Zhang Gang Yao Jimin Chai Xiaofan Hou College of Energy and Electrical Engineering Hehai University NARI Group Corporation/State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control State Grid Zhejiang Electric Power Corporation Electrical and System Engineering University of Birmingham

By focusing on the problems of speed, reliability, operation and maintenance in the practical application of line protection in conventional and smart substations, we propose system architecture and a technical scheme for in-site(similar in meaning to on-site or near-process) line protection based on vertical integration and outdoor installation. The functions of the single-bay merging unit, relay protection, and intelligent terminal are vertically integrated to reduce the number and types of devices, simplify the configuration, reduce signal transmission, and shorten the protection action time. In addition, this vertically integrated device is applied to provide data acquisition and control execution support for substation-area protection, security and stability of devices, and other substation-area devices. The vital performance outputs are tested and compared. Finally, the experimental results verify that the proposed scheme is feasible and the technology is advanced.

关键词： Line protection In-site relay protection Merging unit Vertical integration

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Hybrid HVDC system parameters tuning based on Robust Multi-Objective Optimization via Evolutionary Algorithms

Hybrid HVDC system parameters tuning based on Robust Multi-O...

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2019 IEEE PES Innovative smart grid Technologies Asia, ISGT 2019

作者： Yang, Jia Yang, Hongtao Wei, Fenqing Li, Weiliang Liu, Qipu Sun, Guoqiang State Key Laboratory of Smart Grid Protection Control NARI Group Corporation State Grid Electric Research Institute Nanjing China College of Energy Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9781728135205

The hybrid HVDC transmission system combines the advantages of the line commutated convertor (LCC) and the voltage source converter (VSC) which has great development prospect. Given the uncertainty and complexity in parameters tuning of control modules, this paper introduces a novel robust Multi-Objective Optimization via Evolutionary Algorithms (RMOEA). By searching pareto optimal solutions and robust solutions separately, each region's convergency and diversity performance under perturbance are enhanced appreciably. The improved RMOEA is used to optimize the PI parameters in the rectifier side controller and the inverter side dq axis decoupled dual-loop controller simultaneously. The simulation is implemented jointly by MATLAB and PSCAD software and the experiments results show that compared with the other optimization algorithm, the proposed RMOEA verifies the effectivity of improvements on robustness under the disturbances and tracking ability of preference. © 2019 IEEE.

关键词： Multiobjective optimization

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Modeling and Transient Stability Analysis of Mixed-GFM-GFL-Based Power System

Modeling and Transient Stability Analysis of Mixed-GFM-GFL-B...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Li, Mingfei Quan, Xiangjun Wu, Zaijun Li, Wei Zhu, Ling Hu, Qinran Southeast University School of Electrical Engineering Nanjing China Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

The transient stability mechanism of grid-following inverter (GFL-inverter) and grid-forming inverter (GFM-inverter) in the power system has been extensively studied respectively, whereas the integration of GFM-inverters and GFL-inverters into the grid unavoidably change the transient stability of the power system. This paper aims to analyze the transient stability for the mixed-GFM-GFL power system (MGGPS). The equilibrium point of the MGGPS system is analyzed. The large-signal model of the system is established. Based on this model, an analysis of the transient stability is carried out. It is revealed that the change of GFM-inverter terminal voltage will move the position of GFL-inverter equilibrium points, and the increase of GFL-inverter terminal current will enhance the transient stability of GFM-inverter. With the simulation of phase portraits, the aforementioned transient stability mechanism is proved. © 2021 IEEE.

关键词： Transient analysis

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Commutation failure suppression strategy of HVDC transmission system based on deep double Q-Network

Commutation failure suppression strategy of HVDC transmissio...

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International Conference on Mechanical Engineering, Measurement control, and Instrumentation 2021

作者： Huang, Haidong Li, Xindong Hou, Xiaofan Zha, Daojun Dai, Wei Wu, Dan State Grid Jiangsu Electric Power Co. Ltd. Nanjing210024 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China

ISBN: (数字)9781510647299

ISBN: (纸本)9781510647282

In the case of AC system fault at the inverter side of HVDC transmission system, commutation failure will occur when the turn-off angle of the inverter is less than the limit turn-off angle. To solve the problem of commutation failure, this paper presents a commutation failure suppression strategy of HVDC transmission system based on Deep Double Q-Network (DDQN). A reinforcement learning algorithm with double neural network structure is adopted to accurately predict the DC current value at the inverter side, thus improving the commutation failure prevention and control module (CFPREV), reducing the trigger delay angle at the inverter side and dynamically adjusting the constant current reference value at the rectifier side based on predicted value. At last, the experimental results show that this strategy can effectively suppress commutation failure of HVDC transmission system. © 2021 SPIE.

关键词： HVDC power transmission

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Small-Signal Modeling and Analysis of Multi-GFM System

Small-Signal Modeling and Analysis of Multi-GFM System

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Zhao, Yang Quan, Xiangjun Wu, Zaijun Zhu, Ling Li, Wei Southeast University School of Electrical Engineering Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9781665414395

As the increasing penetration of inverter-based distributed generations (DG) reduces the inertia of the power system, the stability of the system under small disturbances is threatened. grid-forming (GFM) inverter, which can simulate inertia, damping and droop characteristics, is one of the most effective solutions. Virtual inertia and damping coefficient have important effects on the performance in primary frequency modulation. This paper presents an explicit and universal small-signal model for multi-GFM system based on the Newton-Raffson power flow algorithm in polar coordinates to realize the optimal design of virtual inertia and damping coefficient. The validity of the proposed model is demonstrated by comparing with the simulation model, and the effect of virtual inertia and damping coefficient on frequency response is analyzed in the end. © 2021 IEEE.

关键词： Frequency response

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Power cycling method of power semiconductor devices based on mission profiles 1

Power cycling method of power semiconductor devices based on...

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1st IEEE International Power Electronics and Application Symposium, PEAS 2021

作者： Zhang, Jin Wang, Jianpeng Zhang, Zhenjun Wang, Laili Liu, Yi Wu, Yuwei Xi'An Jiaotong University Department of Electrical Engineering Xi'an China Nari Group Corporation State Key Laboratory of Smart Grid Protection And Control Nanjing China

ISBN: (纸本)9781665413596

With the wide application of power semiconductor devices in severe working conditions, the reliability and lifetime estimation of power semiconductor devices have become the research hotspot. Power cycling test is a significant method to study the reliability issues. This paper first analyzes the existing methods and then proposes a new power cycling method which considers not only realistic electrical conditions but also the thermal stress from different regions. Firstly, rainflow algorithm is used to extract the temperature cycles with large amplitude. Next, the junction temperature cycles and case temperature cycles are matched using integer programming algorithm and modified by means of equivalent substitution. At the same time, a method to control the case temperature and the junction temperature simultaneously is proposed. Afterwards, modified rainflow reconstruction algorithm is used to combine these matched cycles to temperature arrays. Finally, test load profile is formed. An electric vehicle motor drive system based on the Worldwide Harmonized Light Vehicle Test Procedure mission profile is used to verify the proposed method. This method can simultaneously stress the bonding wire and the solder layer, which provides a new way to access the reliability of power devices in real application. © 2021 IEEE.

关键词： Reliability

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Rapid Generation of DFIG Farm Equivalent Model Evaluation Scenario Based on Deep Belief Network 7

Rapid Generation of DFIG Farm Equivalent Model Evaluation Sc...

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7th International Conference on Power and Energy Engineering, ICPEE 2023

作者： Jiang, Hao Xu, Lixiong Cui, Xiaodan Wu, Jialong Feng, Jiaqi Liu, Yang School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China

ISBN: (纸本)9798350381146

The protection link within the wind farm is the key link that affects the transient characteristics of the wind farm, and also has the greatest impact on the complexity of scene construction. Therefore, it is urgent to study the method that can quickly build the chopper circuit and crowbar circuit action scene during the evaluation of the equivalent model of the wind farm. In this paper, a fast generation method of wind farm protection state scenarios based on Deep Belief Network (DBN) is proposed. Firstly, characteristic quantities that affect the protection action of a single fan in a wind farm are extracted, such as terminal voltage drop (the junction voltage of a single fan is equal to the terminal voltage), wind speed, etc. Simulation is carried out on a single fan in scenarios with different characteristic quantities, and records of characteristic quantities and protection actions are put into the DBN model for training as a sample set. Through training, a DBN model which can directly and accurately generate the fan protection state according to the characteristic quantity is obtained. Then, the topological structure and line impedance information of the wind farm are obtained, and the relationship between the voltage drop at the junction point and the voltage drop at the end of each fan in the wind farm is obtained. Combined with the voltage drop at the end of each fan in the wind farm and the deep belief network model, the fan protection action scene in the wind farm can be quickly generated for equivalent model evaluation. Finally, a numerical example is given to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Numerical methods

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Compressed Sensing Algorithm for Short Data Window in Distribution Network 1

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7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Cao, Yuhan Wu, Tonghua Chen, Wei Zeng, Xiang Luo, Bing Huazhong University of Science and Technology Wuhan China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

To effectively cope with the problems of surging data volume, high data acquisition cost, and congested communication transmission in distribution networks containing distributed new energy sources, this paper proposes a short data window data acquisition and intercommunication scheme based on compressed sensing theory and builds a corresponding model with the distribution network longitudinal differential protection data intercommunication process as a specific research scenario. The paper analyzes the shortcomings of the Gaussian random matrix, a universal observation matrix commonly used in traditional compressive sensing, in the distribution network, and constructs a deterministic matrix for the current signal characteristics of the distribution network to solve the problem of data reconstruction in the application of compressive sensing in the field of the power system. The problem of unstable recovery is solved. In addition, a sparse base satisfying the constrained isotropy condition is selected from the commonly used sparse bases for the constructed deterministic observation matrix, and a tracking algorithm with unbiased estimation is combined to design a targeted data compression reconstruction algorithm that can apply the compressive sensing theory to the distribution network longitudinal differential protection information intercommunication scenario in a more suitable way. This algorithm has a significant improvement in reconstruction accuracy, and the reconstruction time is short and adaptable to the real-time current signal of the distribution network. © state grid Electric Power Research Institute 2023.

关键词： Compressed sensing

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Multi-dimensional Quantitative Evaluation of Fault Transient Characteristic Accuracy of DFIG Farm Equivalent Model 5

Multi-dimensional Quantitative Evaluation of Fault Transient...

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5th International Conference on Electrical Engineering and control Technologies, CEECT 2023

作者： Jiang, Hao Xu, Lixiong Cui, Xiaodan Wu, Jialong Feng, Jiaqi Zheng, Zixuan Sichuan University School of Electrical Engineering Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing China

ISBN: (纸本)9798350342253

An accurate wind farm model is a crucial prerequisite to ensure that the simulation results of the power system containing wind power align with reality. Hence, it is imperative to establish a system for evaluating the accuracy of wind farm models. This paper examines the fault response characteristics of wind turbines and proposes a multi-dimensional quantitative index system for assessing the equivalency of wind farm models. The entire process can be segmented into two stages: the transient period immediately following the fault occurrence and the subsequent steady-state phase. The evaluation indexes for assessing the accuracy of wind farm models are voltage dynamic response, active power dynamic response, and reactive power dynamic response. These indexes are formulated to evaluate the equivalency of wind farm models across various stages. © 2023 IEEE.

关键词： Dynamic response

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