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作者： Nan Li Yuqun Liu Bin Geng Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University College of Electrical Engineering Northeast Electric Power University Jilin Electric Power Co. Ltd.

In order to solve the problem of large parameter identification error caused by nonlinear links of excitation system being triggered easily when transient stability is under fault state, an improved differential evolution algorithm for system parameter identification is proposed by using the characteristic of artificial intelligence algorithm that the nonlinear link is approximated infinitely through optimization. The improvement of the algorithm solves the problems of slow convergence speed, poor fine optimization ability and easily to produce local optimum when classical artificial intelligence algorithm identifies the parameters of non-linear links. At the same time, in order to solve the problem of inaccurate parameters in the whole identification, a decomposition link identification strategy is proposed. The example analysis shows that the algorithm improves the convergence speed, avoids local optimum and improves the convergence accuracy. According to the proposed parameter identification strategy, the excitation system is decomposed and identified, which improves the accuracy of generator excitation system parameter identification, and provides an accurate model and method for power system stability analysis

关键词： Research on Parameter Identification Method of Generator Excitation system Based on Differential Evolution Algorithm

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Active Support Performance of Grid-connected Multi-power Conversion system Based on Grid-following/Grid-forming control

Active Support Performance of Grid-connected Multi-power Con...

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IEEE Conference on Vehicle power and Propulsion (VPPC)

作者： Tianwei Li Puyu Wang Fuluan Chen Tianming Gu Dejian Yang Gangui Yan Ze Ma Hongsheng Yuan School of Automation Nanjing University of Science and Technology Nanjing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University China Beijing Mechanical Equipment Institute Beijing China

ISBN: (数字)9798331541606

ISBN: (纸本)9798331541613

The power conversion system (PCS) serves as a crucial intermediary between energy storage system and the power grid. Presently, PCS predominantly employs two control strategies: grid-following (GFL) control and grid-forming (GFM) control. Traditional GFL converters primarily rely on phase-locked loops (PLL) to achieve synchronization with the grid, behaving as controlled current sources, which are incapable of actively supporting grid frequency and voltage. Conversely, GFM converters actively sense disturbance and possess the capability to actively support grid frequency and voltage. However, for multi-PCS grid-connected system, there remains a lack of in-depth investigation into the rational design of the configuration ratio (CR) between two types of converters. This paper investigates multi-PCS grid-connected system based on GFL/GFM control by considering different CRs. Initially, the operational principles and control strategies of multi-PCS grid-connected system are analyzed, elucidating the mathematical models of multi-PCS and their GFL/GFM controllers. Subsequently, a 6-PCSs grid-connected system is employed as an example with seven different CRs simulated in PSCAD/EMTDC, which is disturbed by load disturbance and single-phase ground fault. Finally, the simulation results are compared to obtain the optimal configuration ratio for 6-PCS grid-connected system under corresponding condition.

关键词： Grid following simulation Propulsion Frequency conversion power grids Synchronization Voltage control Phase locked loops Frequency control Grid forming

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SECONDARY FREQUENCY control OF ISLANDED MICROGRID CONSIDERING WIND AND SOLAR STOCHASTICS

arXiv

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arXiv 2023年

作者： Zhong, Cheng Jiang, Zhifu Zhang, Xiangyu Chen, Jikai Li, Yang Key Laboratory of Modern Power System Simulation and Control &Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Northeast Electric Power University College of Electrical Engineering Jilin132012 China

This paper proposed a model predictive control (MPC) secondary frequency control method considering wind and solar power generation stochastics. The extended state-space matrix including unknown stochastic power disturbance is established, and a Kalman filter is used to observe the unknown disturbance. The maximum available power of wind and solar DGs is estimated for establishing real- time variable constraints that prevent DGs output power from exceeding the limits. Through setting proper weight coefficients，wind and photovoltaic DGs are given priority to participate in secondary frequency control. The distributed restorative power of each DG is obtained by solving the quadratic programming (QP) optimal problem with variable constraints. Finally，a microgrid simulation model including multiple PV and wind DGs is built and performed in various scenarios compared to the traditional secondary frequency control method. The simulation results validated that the proposed method can enhance the frequency recovery speed and reduce the frequency deviation，especially in severe photovoltaic and wind fluctuations scenarios. Copyright © 2023, The Authors. All rights reserved.

关键词： Stochastic systems

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IES Load Forecasting Considering Multifaceted Load Coupling Characteristics

IES Load Forecasting Considering Multifaceted Load Coupling ...

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

作者： Xinnan Yu Yunjing Liu Rao Fu Yuxuan Zeng Jinxin Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Co. Ltd. Jilin China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

The Integrated energy system (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relationships among various loads, this paper constructs a regional IES multifaceted load forecasting model based on the Grey Relation Analysis (GRA) method and the Bi-directional Long Short-Term Memory (BI-LSTM) neural network to delve into the coupling characteristics between electric, thermal, and cooling loads. Firstly, the Grey Relation Analysis is employed to analyze the correlation of multifaceted loads, determining the prediction priority of multifaceted loads in the integrated energy system. Secondly, based on the exploration of coupling characteristics among multifaceted loads, the k-means clustering algorithm is applied to partition loads with the highest priority into sets with similar fluctuations. Finally, for each load scenario set, a hierarchical prediction strategy is implemented using the BI-LSTM network for scenario set prediction modeling. Case study results indicate that the proposed forecasting model exhibits high prediction accuracy and effectively handles the intense fluctuations in loads, meeting the operational requirements for the system's safety and stability.

关键词： Couplings Fluctuations Supply and demand Load forecasting Predictive models Stability analysis Thermal analysis

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A Novel DC Fault Ride-Through Coordinated control Strategy for DC Grid with Hybrid MMC

SSRN

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SSRN 2022年

作者： Jiang, Shouqi Li, Guoqing Wang, Xiaoxue Xin, Yechun Wang, Weiru Wang, Yanxu Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132000 China

DC grid based on hybrid modular multilevel converter (MMC) is an effective means to achieve large-scale renewable energy integration, multi-energy complementarity and friendly grid-connection. Aiming at the problem that the traditional DC fault ride-through (FRT) scheme will cause the interruption of power transmission in the whole network, a novel DC FRT coordinated control strategy is proposed in this paper, which can quickly interrupt the fault current and avoid the MMC exiting operation. Based on the analysis of fault current composition and key influencing factors, for fault line MMC (FLMMC), a negative voltage control strategy adaptive to the change of fault current is proposed, which can improve the current attenuation speed and ensure reliable fault isolation. For non-fault line MMC (NFLMMC), considering the overvoltage and overcurrent risks of FLMMC, the coordinated current-limiting control method and parameter selection principle of NFLMMC is proposed, where the current-limiting performance can be adaptive to the voltage change of DC bus, so as to realize the rapid recovery of DC power grid while restraining fault current. Finally, a four-terminal DC grid real-time digital simulation model is built to verify the validity of the proposed FRT coordinated control strategies. © 2022, The Authors. All rights reserved.

关键词： Voltage control

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Capacity and power Allocation Strategy of energy Storage Participating in Grid Peak Shaving

Capacity and Power Allocation Strategy of Energy Storage Par...

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

作者： Tengyun Qi Qiren Wu Jianping Liu Fei Xu Yajing Li He Li Yiming Wang Cuiping Li Junhui Li China Three Gorges Corporation Beijing China China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (纸本)9781665434263

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle; the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy.

关键词： Costs system integration Production Wind power generation Lithium batteries Regulation Resource management

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Real-time object detection method based on improved YOLOv4-tiny

arXiv

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arXiv 2020年

作者： Jiang, Zicong Zhao, Liquan Li, Shuaiyang Jia, Yanfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of Electrical and Information Engineering Beihua University Jilin132013 China

The "You only look once v4" (YOLOv4) is one type of object detection methods in deep learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and reduce parameters, which makes it be suitable for developing on the mobile and embedded devices. To improve the real-time of object detection, a fast object detection method is proposed based on YOLOv4-tiny. It firstly uses two ResBlock-D modules in ResNet-D network instead of two CSPBlock modules in Yolov4-tiny, which reduces the computation complexity. Secondly, it designs an auxiliary residual network block to extract more feature information of object to reduce detection error. In the design of auxiliary network, two consecutive 3x3 convolutions are used to obtain 5x5 receptive fields to extract global features, and channel attention and spatial attention are also used to extract more effective information. In the end, it merges the auxiliary network and backbone network to construct the whole network structure of improved YOLOv4-tiny. simulation results show that the proposed method has faster object detection than YOLOv4-tiny and YOLOv3-tiny, and almost the same mean value of average precision as the YOLOv4-tiny. It is more suitable for real-time object detection, especially for developing on embedded devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Object detection

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

引用

SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-[A1] flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Application Research of Chaotic Binary Particle Swarm Optimization Algorithm in Dynamic Spectrum Allocation

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Journal of Computers (Taiwan) 2020年第4期31卷 288-299页

作者： Teng, Zhi-Jun Xie, Lu-Ying Chen, Hao-Lei Zhang, Hua Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology China Ministry of Education[Northeast Electric Power University China Jilin 132012 China School of Electrical Engineering China Northeast Electric Power University China

Dynamic spectrum allocation (DSA) in cognitive radio system has become a hot topic to solve the spectrum scarcity. Particle swarm optimization (PSO) has shown great flexibility in solving the spectrum allocation problem, and many related studies have been proposed. However, there is still room for improvement in the problem that PSO will have a slow convergence rate in the DSA and the latter particle search is easy to fall into the local optimum. In this paper, a dynamic time-varying spectrum allocation scheme based on chaotic binary particle swarm optimization is proposed. The improved algorithm introduces the idea of chaotic map to optimize the initial population and the optimal position of each generation of particles, and utilizes the global ergodicity of chaotic map to overcome the shortcomings of the algorithm. Based on the graph theory model, a mathematical model of dimensionality reduction spectrum allocation is built to realize DSA for users. The experimental results show that the convergence time cost of the improved algorithm is low, and the higher network rewards can be obtained under different experiments, and the fast and efficient spectrum allocation is realized to satisfy the demands of cognitive radio communication. © 2020 Computer Society of the Republic of China. All rights reserved.

关键词： Cognitive radio

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

引用

SSRN 2024年

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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