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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zhang, Jiarui Zhong, Wuzhi Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

With the rapid growth of Photovoltaic (PV) power capacity, how to improve the accuracy of PV output prediction becomes an intensive problem. This paper proposes a prediction model to reduce the error of prediction by combining gray correlation theory to select similar days with BP neural network. Firstly, the factors of weather between sample days selected as similar days and forecast days are calculated to find three similar days which have the highest relevance. After that, different weights are assigned to historical data of similar days according to the degree of relevance from large to small and back propagation (BP) neural network is combined to predict the output of PV. Finally, based on the actual measurement data of a photovoltaic power station in Northeast China, this paper validates the positive effects of this model on MATLAB simulation platform. Results show that selecting similar days by grey correlation and combining BP neural network can effectively improve the prediction accuracy of short-term PV output. © 2019 IEEE.

关键词： simulation platform

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Multi-channel attention mechanism graph convolutional network considering cumulative effect and temporal causality for day-ahead wind power prediction

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energy 2025年 332卷

作者： Mao Yang Renxian Jiang Bo Wang Guozhong Fang Yunpeng Jia Fulin Fan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100912 China State Grid Corporation of China Northeast Branch Liaoning 100031 China Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company of State Jilin 130021 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Institute for Energy and Environment University of Strathclyde Glasgow G1 1XW UK

Under the current situation where the proportion of wind power generation in the existing energy structure is gradually increasing, accurate short-term power prediction of wind farm cluster (WFC) plays an important auxiliary role in the formulation of regional power generation plans. However, it is difficult to clarify the correlation between wind farms in the power prediction of WFC, which leads to the difficulty of stable and accurate prediction. Therefore, this paper proposes a short-term power prediction method for WFC considering wind power cumulative effect (CE) and temporal causality (TC). Firstly, the two relationships (CE and TC) between wind farms are clarified and used to construct an adjacency matrix separately, then the error characteristics (EC) are used to form an adjacency matrix as well. Secondly, the adjacency matrix information with different attributes is fused by the multi-channel attention mechanism to obtain the wind power prediction results. Finally, the proposed method is applied to three WFCs in China, by which the universality and effectiveness of the method is verified. Compared with the traditional prediction method, its RMSE is reduced by 1.55 %, 1 % and 3.4 % on average.

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Planning of active power distribution network based on source-network-load collaborative optimization

Planning of active power distribution network based on sourc...

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The 16th IET International Conference on AC and DC power Transmission (ACDC 2020)

作者： Z. Jiang Q. Yu A. Li Y. Xiong G. Long Y. Liu Ministry of Education (Northeast Electric Power University) Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin 132012 China Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing China

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model.

关键词： power distribution planning power distribution reliability distributed power generation power distribution economics renewable energy sources optimisation energy storage

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An Optimization Method Based on Time-Sharing energy Complementation to Determine Transmission Capacity of Wind-CSP Plants Combined system

An Optimization Method Based on Time-Sharing Energy Compleme...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zhang, Huiquan Huang, Siyu Xu, Boyang Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China Shenzhen Power Supply Co.ltd Shenzhen China

ISBN: (纸本)9781728135205

Since northwest China has abundant wind and solar resources, constructing the concentrating solar power (CSP) plant near to the wind-generated electricity factory tend to a common form of energy exploiting. How to size for the capacity of the transmission line to meet the demand of delivery of the wind-concentrated solar power (CSP) plant system becomes an intensive problem. Based on the theory of time-sharing energy complementarity, this paper proposes a mathematical optimization model of the integrated output of Wind farm and CSP plant to suppress the power fluctuations. Then, by independently considering the impacts of the thermal storage capacity of CSP plant, the capacity optimization model of transmission line of wind power-CSP combined system is established. The case result demonstrates that the proposed method can reduce the investment cost of transmission line by reasonably configuring the thermal storage capacity of CSP. Moreover, the proposed strategy significantly improves the utilization rate of the transmission line and increases the comprehensive income of the joint generation system. © 2019 IEEE.

关键词： Concentrated solar power

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Generator model validation and parameter calibration based on PMU measurement data 3

Generator model validation and parameter calibration based o...

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3rd IEEE International Conference on energy Internet, ICEI 2019

作者： Zhang, Yanjun Jiang, He Gao, Kai Zhang, Jian Liu, Jiaqi Wang, Yupeng State Grid Liaoning Electric Power Co Ltd. Shenyang China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781728114934

power system dynamic simulation is an important tool for us to master the dynamic behavior of power systems. It is very important to ensure the credibility of simulation results. Dynamic model validation and calibration has become one of the important applications of concern. In this paper, the method of using the dynamic data recorded by the phasor measurement unit (PMU) to improve the accuracy of the generator model is proposed, including model validation and model parameter id-entifycation. In model validation, the playback of the distur-bance event is used to simulate the response of the model for comparison with the measurement information of the PMU. If the simulation result is inconsistent with the actual mea-surements, the model parameters are not accurate. In the parameter identification step, the perturbation method is used to calculate the trajectory sensitivity of the parameter, and the problematic parameters causing the simulation error is iden-tified, then artificial intelligent method is used to automatically calib-ration the problematic parameters. Finally, other perturbation data is used to validate the credibility of the calibrated generator model, and the results obtained proved that the final calibration model is superior to the existing model. © 2019 IEEE.

关键词： Phasor measurement units

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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints

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International Journal of Electrical power and energy systems 2025年 169卷

作者： Li, Danyang Liu, Hongpeng Zhang, Jingwei Han, Xu Zhang, Shuxin The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin 132012 China State Grid Jilin Electric Power Co. Ltd. Baicheng Power Supply Company Jilin Province Baicheng 137000 China State Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company Jilin Province Jilin 132000 China

Under the “dual-carbon” goals, the integration of high-proportion renewable energy has amplified operational uncertainties in new power systems, posing novel challenges to the economic planning of generation system expansion. However, existing power planning methodologies suffer from static modeling defects, incomplete constraint systems, and oversimplified cost structures, rendering them inadequate to support the low-carbon transition of emerging power systems. This necessitates a comprehensive consideration of system variability and flexibility to establish a multi-stage generation planning model. Addressing these limitations, this paper develops a fundamental multi-stage planning framework based on scenario tree structures, further incorporating carbon emissions and penalty costs for curtailed renewable energy. A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. The model fulfills economic-environmental requirements and ensures system reliability. © 2025

关键词： Efficient use of energy High proportion of new energy Multistage generation planning New power system system flexibility requirements

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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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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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Complementary Coordinated Dispatch of Multi-energy systems Considering power Flexibility Margin

Complementary Coordinated Dispatch of Multi-energy Systems C...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Xiao, Bai Xiao, Zhiwen Yan, Gangui Jiang, Zhuo Wang, Maochun Yang, Hongzhi Dong, Ling Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Northeast Electric Power University Jilin China School of Computer Science and Technology Beihua University Jilin China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9781728135205

In the light of wind and photovoltaic curtailment caused by the lack of flexibility in multi-energy power systems, a method for measuring the flexibility margin of power source is proposed. Aiming at the lowest cost of fuel and atmospheric emission control, a coordinated optimal dispatching model of wind, photovoltaic, hydropower and thermal was constructed. Flexibility balance constraints are introduced into the model, and the model is divided into three dispatching layers: non- water renewable energy, hydropower and thermal power. The net load is updated step by step. Heuristic algorithm is used to determine the thermal power unit combination and particle swarm optimization algorithm is improved to optimize the unit output. Taking a provincial power grid in China as an example, the calculation results show that the model and method can not only as far as possible utilize renewable energy, but also reduce system redundancy and environmental pollution. © 2019 IEEE.

关键词： Heuristic algorithms

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Investigating the transient torque of turbo-generators in a power system integrating wind farms 8

Investigating the transient torque of turbo-generators in a ...

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8th renewable power Generation Conference, RPG 2019

作者： Yang, Bowen Yan, Gangui Xie, Xiaorong Wang, Yanhui Tang, Jian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid East Mongolia Electric Power Supply Co. Ltd. Hohhot China

ISBN: (纸本)9781839531255

The renewable energy sources connected to the grid will cause the power system to oscillate and even affect neighbouring turbo-generators. For example, the wind turbines and their converter control systems may cause shaft torsional vibration in the steam turbine units, which affects the safety of the system. Therefore, it is of significance to investigate the transient torque of turbo-generators in a power system integrating wind farms. This paper takes a power plant in Inner Mongolia area of China as the case, the power of which is transmitted via the AC/DC hybrid power system with wind and thermal power. A typical equivalent system model of the wind-thermal-bundled access network is established firstly. Consider setting the fault on the line with series capacitor compensation and observe units' torque variation. Then the impact on sub-synchronous resonance (SSR) characteristics from many factors was investigated through the time-domain simulation, including the unit combination mode (including the long-term accessed DFIGs condition), the fault type and position, the system equivalent impedance, the fault starting/clearing time and the mechanical mutual damping coefficient of shafting, etc. Finally, the influence of each factor on transient torque is summarized, and the inner associations between the shaft torsional vibration in the turbo-generators and the converter-based wind turbines are clarified. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Wind turbines

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