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Ultrashort-Term power Prediction of Distributed Photovoltaic Based on Variational Mode Decomposition and Channel Attention Mechanism

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Energy Engineering 2025年第6期122卷 2155-2175页

作者： Zhebin Sun Wei Wang Mingxuan Du Tao Liang Yang Liu Hailong Fan Cuiping Li Xingxu Zhu Junhui Li Intelligent Distribution Network Department Inner Mongolia Electric Power Economics and Technology Research InstituteHohhot010020China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Production Technology Department Inner Mongolia Power(Group)Co.Ltd.Hohhot010010China

Responding to the stochasticity and uncertainty in the power height of distributed photovoltaic power *** paper presents a distributed photovoltaic ultra-short-term power forecasting method based on Variational Mode Decomposition(VMD)and Channel Attention ***,Pearson’s correlation coefficient was utilized to filter out the meteorological factors that had a high impact on historical ***,the distributed PV power data were decomposed into a relatively smooth power series with different fluctuation patterns using variational modal decomposition(VMD).Finally,the reconstructed distributed PV power as well as other features are input into the combined CNN-SENet-BiLSTM *** this model,the convolutional neural network(CNN)and channel attention mechanism dynamically adjust the weights while capturing the spatial features of the input data to improve the discriminative ability of key *** extracted data is then fed into the bidirectional long short-term memory network(BiLSTM)to capture the time-series features,and the final output is the prediction *** verification is conducted using a dataset from a distributed photovoltaic power station in the Northwest region of *** results show that compared with other prediction methods,the method proposed in this paper has a higher prediction accuracy,which helps to improve the proportion of distributed PV access to the grid,and can guarantee the safe and stable operation of the power grid.

关键词： Distributed photovoltaic power channel attention mechanism convolutional neural network bidirectional long short-term memory network

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power grid frequency regulation participated by photovoltaic generation to adapt to different control modes of grid-side AGC 8

Power grid frequency regulation participated by photovoltaic...

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8th Renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Hu, Wenbo Jia, Qi Wang, Dan Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connection of photovoltaic (PV) generation causes the power system to face the problem of insufficient inertia and insufficient frequency modulation capability. One of the important means to solve this problem is to take part in grid frequency regulation actively. On the basis of spare certain active power, this paper puts forward the active power-frequency droop control strategy. By modifying the original control structure of the inverter, PV generation actively takes part in the grid frequency primary regulation. In order to achieve non-error adjustment of frequency, this paper further proposes a secondary frequency regulation control strategy that adapts to different grid-side AGC control modes (constant frequency control mode, constant tie line power control mode and tie line power frequency deviation control mode). The effectiveness and feasibility of the control strategies are verified based on the PSCAD/EMTDC simulation platform. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Frequency modulation

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Joint Optimization of Wind Farm Layout Considering Optimal control

arXiv

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arXiv 2021年

作者： Chen, Kaixuan Lina, Jin Qiu, Yiwei Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Department of Electrical and Computer Engineering University of Macau 999078 China

The wake effect is one of the leading causes of energy losses in offshore wind farms (WFs). Both turbine placement and cooperative control can influence the wake interactions inside the WF and thus the overall WF power production. Traditionally, greedy control strategy is assumed in the layout design phase. To exploit the potential synergy between the WF layout and control so that a system-level optimal layout can be obtained with the greatest energy yields, the layout optimization should be performed with cooperative control considerations. For this purpose, a novel two-stage WF layout optimization model is developed in this paper. Cooperative WF control of both turbine yaw and axis-induction are considered in the WF layout design. However, the integration of WF control makes the layout optimization much more complicated and results in a large-scale nonconvex problem, hindering the application of current layout optimization methods. To increase the computational efficiency, we leverage the hierarchy and decomposability of the joint optimization problem and design a decomposition-based hybrid method (DBHM). Instead of manipulating all the variables simultaneously, the joint optimization problem is decomposed into several subproblems and their coordination. Case studies are carried out on different WFs. It is shown that WF layouts with higher energy yields can be obtained by the proposed joint optimization compared to traditional separate layout optimization. Moreover, the computational advantages of the proposed DBHM on the considered joint layout optimization problem are also demonstrated. © 2021, CC BY.

关键词： Electric utilities

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A novel frequency regulation control strategy based on the external characteristics of PV generation 8

A novel frequency regulation control strategy based on the e...

引用

8th Renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Wang, Dan Jia, Qi Hu, Wenbo Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connected PV generation results in the power system facing with the problem of reduced inertia and inadequate frequency regulation capability, which is urgent for PV generation to take participate in frequency regulation. In this paper, the research object is the double-stage PV generation, a novel frequency regulation control strategy based on the external characteristics of PV generation is proposed. f-UPV compensation is introduced into DC low-voltage control loop, which makes the DC low-voltage vary with the grid frequency, thus controlling the output power of PV generation. The influence mechanism of the control strategy on the frequency dynamic process of power system is also analysed based on the frequency response model (SFR). The results show that: the larger the ΔUPV generated by the f-UPV compensation unit, the more power of PV generation can be generated;the control strategy essentially affects the damping coefficient of the system, which not only affects the transient process of the system frequency, but also the steady-state frequency deviation. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Frequency response

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Bi-level coordinated expansion planning of high-PV-penetration active distribution networks incorporating multiple flexible resources considering WGAN-GP-based uncertainty generation

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Energy 2025年 330卷

作者： Li, Jianjing Li, Fan Sun, Kai Sun, Bo School of Control Science and Engineering Shandong University Jingshi Road 17923 Jinan250061 China Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Integrating high-penetration random photovoltaics (PVs) into the active distribution network (ADN) often causes overvoltage issues, which can even trigger ADN failures. To accommodate high-penetration PVs integration while maintaining economic efficiency and flexibility of ADN, a bi-level collaborative expansion planning model considering uncertainty generation and reduction is proposed in this paper. Based on described uncertainty scenarios of PV and load obtained by proposed Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) and K-means method, the upper level firstly configures soft open points to adjust the ADN topology, then optimizes the siting and sizing of PVs, electric vehicle charging stations, energy storage systems, and active management resources (on-load tap changers, and static var compensators) with minimum investment cost. Lower level uses multi-objective mixed-integer second-order cone programming (MISOCP) model with network loss, PV curtailment and voltage deviation of different attributes to optimize ADN scheduling. To solve this planning model, a hybrid algorithm that integrates an adaptive particle swarm optimization algorithm with SOCP is proposed, employing the technique for order preference by similarity to an ideal solution (TOPSIS) to address the multi-objective issue. Finally, the presented model was tested in the actual rural 41-bus and urban 40-bus ADN of Gansu, China, demonstrating that total costs decreased by 14.4 % and 12.5 % respectively compared to plans without active management resources. © 2025

关键词： Particle swarm optimization (PSO)

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An Elasticity Model Considering Grain Boundaries and Tensile Orientations for Directionally Solidified Superalloys

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Transactions of Nanjing University of Aeronautics and Astronautics 2019年第4期36卷 652-662页

作者： XIAO Jianfeng ZHANG Hongjian WEN Weidong CUI Haitao Aero-engine Thermal Environment and Structure Key Laboratory of Ministry of Industry and Information Technology Jiangsu Province Key Laboratory of Aerospace Power SystemState Key Laboratory of Mechanics and Control of Mechanical StructuresCollege of Energy & Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China

In order to investigate the elastic properties of directionally solidified(DS)superalloys,an elasticity model called boundaries elastic model(GBE model),considering grain boundaries and tensile orientations,is proposed in this *** assumptions are adopted in the GBE model:(1)The displacement of grains,which moves along the perpendicular direction,is restricted by the grain boundaries;(2)Grain boundaries influence region(GBIR)is formed around the grain *** on the single crystal(SC)calculation method of elastic properties,the GBE model can well predict macroscopic equivalent elastic modulus(Young’s modulus)of DS superalloys under different tensile orientations *** demonstrate the correctness of the GBE model,3D finite element simulation is adopted and tensile experiments on a Ni3Al?base DS superalloy(IC10)along five tensile orientations are carried ***,the grain boundaries are observed by light microscopy and transmission electron microscope(TEM).Therefore,the GBE model is proved to be feasible by comparing the simulated results with the experiments.

关键词： directionally solidified superalloys single crystal Young’s modulus grain boundaries

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Vibration Reduction by Segmented Continuous Variable Width Pole for Rotating Armature Permanent Magnet Motors

Vibration Reduction by Segmented Continuous Variable Width P...

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International Conference on Electrical Machines, ICEM

作者： Zhanlu Yang Shanming Wang Jianfeng Hong Chao Liu State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Navy Submarine Academy Qingdao China

ISBN: (数字)9781728199450

ISBN: (纸本)9781728199467

In order to reduce the electromagnetic vibration of rotating armature permanent magnet motor (RAPMM), this paper proposes a method to reduce vibration using the magnetic pole with segmented continuous variable width. The distribution of flux density and radial force density in air gap is calculated using analytical method. The analytical solutions of radial exciting force and bending moment exciting force on magnetic pole are obtained. Through analysis, the principle of magnetic pole width adjustment for the reduction in radial exciting force and bending moment is developed. The magnetic field, Maxwell stress, vibration deformation and acceleration of the motor are calculated using the three-dimensional finite element method. In order to validate the effectiveness of the proposed method, a comparison is performed between the proposed scheme and the other three traditional schemes. Finally, the experimental results about the four kinds of motors are compared, to validate the proposed method.

关键词： Vibrations Permanent magnet motors Prototypes Rotors Force Stator windings Permanent magnets

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Evaluating Comprehensive Development Quality of a Regional power Grid by Using an Integrated Multi-criteria Decision-Making Methodology 6

Evaluating Comprehensive Development Quality of a Regional P...

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2019 6th International Conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019

作者： Zhang, Xiaodong Qin, Kaiming Si, Ruihua Ge, Xianjun State Grid Henan Electric Power Company Zhengzhou450018 China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Department of Electrical Engineering Tsinghua University HaidianBeijing100084 China

Due to the economic situation changes and the continuous expansion of new energy power in China, a new evaluation methodology based on multi-criteria decision making (MCDM) should be proposed to promote the comprehensive development of the new regional power grid. Some criteria were selected to constitute an indicator system from the perspectives of the safety reliability, network structure and economic benefit. Then, an integrated evaluation model was proposed based on fuzzy AHP method and VIKOR method was applied to calculate a series of comprehensive evaluation indexes. A regional power grid was chosen as an empirical analysis to demonstrate the feasibility of the evaluation system. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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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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Corrigendum to “Single-ended DC line protection scheme based on first peak time of current-limiting reactor voltage” [Int. J. Electr. power Energy Syst. 150 (2023) 109100]

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International Journal of Electrical power & Energy systems 2023年 152卷

作者： Xiuyan Wei Guibin Zou Chaochao Chen Shuo Zhang Chenghan Zhou Shenglan Song The Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Ji’nan 250061 China State Grid Weifang Power Supply Company Weifang 261061 China

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