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Day-ahead Intra-day Economic Dispatch Methodology Accounting for the Participation of Electrolytic Aluminum Loads and energy Storage in power system Peaking

Day-ahead Intra-day Economic Dispatch Methodology Accounting...

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power Science and technology (ICPST), IEEE International Conference on

作者： Wei Zheng Peng Yu Zhaoyang Xu Tianzhen Fan Hengyu Liu Meng Yu Jiong Zhang Junhui Li State Grid Liaoning Electric Power Supply Co. Ltd State Grid Fushun Electric Power Supply Company Liao Ning China State Grid Liaoning Electric Power Co. Ltd State Grid Liaoning Electric Power Company Limited Power Dispatch And Control Center Liao Ning China State Grid Electric Power Research Institute Co. Ltd State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Co. Ltd Hu Bei China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology (Northeast Electric Power University) Ji Lin China State Grid Liaoning Electric Power Co. Ltd State Grid Liaoning Electric Power Company Limited Electric Power Research Institute Liao Ning China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Under the background of dual-carbon target and large-scale new energy access, most of the existing power system scheduling modes focus on the power source side, ignoring the potential of load-side interaction with the grid for peak shifting. In order to promote two-way coordination and interaction on both sides of the source and load sides, and to guarantee the balance of power supply and demand on different time scales and the high level of new energy consumption, it is proposed to incorporate the representative electrolysis aluminum loads on the load side into the main body of the scheduling, and to optimize the dispatching of power supply and demand through the configuration of It is proposed that the representative electrolytic aluminum load on the load side should be included in the main body of dispatch, and by configuring battery energy storage devices on the load side, joint optimal dispatch with thermal power units containing carbon capture devices should be carried out. With the optimization objective of minimizing the operating cost of the power system, a joint day-ahead-intraday economic dispatch method is developed. Finally, simulation calculations are carried out with an example to show that the proposed peaking model can effectively guide the demand response of the aluminum loads, increase the rate of new energy consumption, and reduce the operating cost of the system at the same time.

关键词： energy consumption Costs power supplies Aluminum Optimal scheduling Wind power generation Regulation

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Carbon-oriented Local Integrated energy system Multi-energy Coupling Market Design

Carbon-oriented Local Integrated Energy System Multi-energy ...

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

作者： Jifeng Li Jinghua Li Xingtang He Hao Luo Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665434263

Under the background that countries all over the world constantly advocate energy conservation and emission reduction and seek to deepen the reform of power systems and introduce new energy trading policies, this study constructed a carbon-oriented local integrated energy system multi-energy coupling market architecture. This construct was aimed at problems that current multi-energy coupling market research has not considered, including multi-energy substitution characteristics and carbon emission factors. First, taking the local integrated energy system as the main physical architecture, a multi-energy coupling market architecture was constructed combining the main market participants of different energy subsystems. Second, a model of the subsystem markets in the energy coupling market, and the joint clearing method were proposed. Finally, the guiding role of the energy coupling market was analyzed by simulation for reasonable pricing and carbon emission reductions of different energy market operators.

关键词： Couplings Analytical models Costs Uncertainty energy conservation Carbon dioxide Pricing

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Single-stage Grid-connected Photovoltaic Generation Takes Part in Grid Frequency Regulation for Electromechanical Transient Analysis

Single-stage Grid-connected Photovoltaic Generation Takes Pa...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Yan, Gangui Hu, Wenbo Jia, Qi Zhang, Shanfeng Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781728135205

In order to solve the problem of insufficient frequency regulation capacity caused by the large-scale grid-connected photovoltaic (PV) generation, the active power-frequency droop control strategy and virtual inertia control strategy are proposed for single-stage grid-connected PV generation for electromechanical transient analysis. By modifying the control structure of the inverter, PV generation actively got involved in frequency regulation. The simulation results indicate that: the inverter can control the PV array to increase or decrease the active power generated according to the set droop control and virtual inertia control, so as to suppress the drop or rise of the grid frequency;in the dynamic process of frequency, the incremental power of PV generation induced by the dynamic action of the voltage vector of grid connection point is dependent on its virtual inertia control. © 2019 IEEE.

关键词： Transient analysis

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Super-Resolution Reconstruction of Electric power Inspection Images Based on Very Deep Network Super Resolution 6th

Super-Resolution Reconstruction of Electric Power Inspection...

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6th International Conference on Artificial Intelligence and Security, ICAIS 2020

作者： Shi, Bowen Gao, Jilong He, Zhentao Zhang, Tian Zhong, Tie Chen, Haipeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin CityJilin132012 China College of Electrical Engineering Northeast Electric Power University Jilin CityJilin132012 China School of Physics Northeast Normal University Changchun130024 China

ISBN: (纸本)9783030578831

Aiming at the problem of getting low resolution image and blurred image during unmanned aerial vehicle (UAV) inspection, a super-resolution reconstruction algorithm based on very deep network super resolution (VDSR) is proposed. The algorithm model is composed of deep convolution neural network and residual structure, which is improved on the basis of super resolution convolutional neural network (SRCNN). By deepening the network to 20 layers, the receptive field can be expanded, and the residual structure can be combined to obtain better reconstruction effect. The experimental results show that the proposed super-resolution method based on VDSR has richer texture and more realistic visual effect, with 2.95 dB and 0.037 improvement in PSNR and SSIM compared with the super-resolution methods based on Bicubic Interpolation, Sparse Coding and SRCNN. The proposed algorithm further promotes the theoretical research of inspection image super-resolution, and can be effectively applied to the practical application of power inspection. © 2020, Springer Nature Switzerland AG.

关键词： Textures

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power system Transient Stability Assessment Method Based on CapsNet

Power System Transient Stability Assessment Method Based on ...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Tian, Xu An, Jun Mu, Gang Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728135205

This paper addresses the need to make judgments quickly and accurately after a transient stability failure in the power system. A method for transient stability assessment of power systems based on CapsNet is proposed. This method does not require manual calculation and is based directly on simulation data. Using the self-learning ability of the CapsNet and strong feature extraction ability, the offline training model is used to find the mapping relationship between the input data set and the transient stability, and then online evaluation. This paper effectively improves the accuracy of the evaluation by constructing the input data matrix;By improving the parameters in the network, the calculation speed is effectively improved, and the robustness and generalization ability of the model are enhanced. The idea of "fast measurement, fast resolution, fast control" has been achieved. The simulation results of IEEE-39 node system verify the effectiveness of the proposed method, and the proposed method is superior to the evaluation model of other machine learning methods. © 2019 IEEE.

关键词： Feature extraction

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Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

arXiv

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arXiv 2022年

作者： Li, Yang Wei, Xinhao Li, Yuanzheng Dong, Zhaoyang Shahidehpour, Mohammad The Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The School of Artifcial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Electrical and Computer Engineering Department Illinois Institute of Technology ChicagoIL60616 United States The ECE Department The King Abdulaziz University Saudi Arabia

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one of the top-priority cyber-related issues and has received increasing attention in recent years. However, so far little attention has been paid to privacy preservation issues in the detection of FDIAs in smart grids. Inspired by federated learning, a FDIA detection method based on secure federated deep learning is proposed in this paper by combining Transformer, federated learning and Paillier cryptosystem. The Transformer, as a detector deployed in edge nodes, delves deep into the connection between individual electrical quantities by using its multi-head self-attention mechanism. By using federated learning framework, our approach utilizes the data from all nodes to collaboratively train a detection model while preserving data privacy by keeping the data locally during training. To improve the security of federated learning, a secure federated learning scheme is designed by combing Paillier cryptosystem with federated learning. Through extensive experiments on the IEEE 14-bus and 118-bus test systems, the effectiveness and superiority of the proposed method are verified. Copyright © 2022, The Authors. All rights reserved.

关键词： Smart power grids

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

Coordination of Electricity and Heat Dispatch Strategy Combi...

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2020 International Conference on Electronic, Electrical and Computer Applications, ICEECA 2020

作者： Ge, Weichun Li, Zhao Zhao, Dong Li, Zhenyu Ye, Qing Fu, Yu Yu, Na State Grid Liaoning Province Electric Power Company Limited Shenyang110006 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources;Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Short-Term Load Forecasting of Smart Grid Based on Load Spatial-Temporal Distribution

Short-Term Load Forecasting of Smart Grid Based on Load Spat...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Yan, Gangui Han, Tianyi Zhang, Wei Zhao, Shujian Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China

ISBN: (纸本)9781728135205

Various incentives in the smart grid, which force power consumer to take respond demand and change the characteristics of load, will affect power load forecasting. In this paper, it is concluded that the load spatial-temporal distribution and the load are relevant in the smart grid, and the impact of load spatial-temporal distribution is considered in forecasting model. It sifted multivariate load series highly relevant to prediction point with correlation analysis, and modeled the load series from the viewpoint of time with long short-term memory (LSTM). By comparing with the artificial neural network and support vector machine, it is verified that the model proposed has higher accuracy. © 2019 IEEE.

关键词： Long short-term memory

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Frequency support scheme based on parametrized power curve for de-loaded wind turbine under various wind speed

arXiv

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arXiv 2021年

作者： Zhong, Cheng Lv, Yueming Li, Huayi 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 Department of Electronic Electrical and Systems Engineering University of Birmingham BirminghamB15 2TT United Kingdom

With increased wind power penetration in modern power systems, wind plants are required to provide frequency support similar to conventional plants. However, for the existing frequency regulation scheme of wind turbines, the control gains in the auxiliary frequency controller are difficult to set because of the compromise of the frequency regulation performance and the stable operation of wind turbines, especially when the wind speed remains variable. This paper proposes a novel frequency regulation scheme (FRS) for de-loaded wind turbines. Instead of an auxiliary frequency controller, frequency support is provided by modifying the parametrized power versus rotor speed (Pw-ωr) curve, including the inertia power versus rotor speed curve and the droop power versus rotor speed curve. The advantage of the proposed scheme is that it does not contain any control gains and generally adapts to different wind speeds. Further, the proposed scheme can work for the whole section of wind speed without wind speed measurement information. The compared simulation results demonstrate the scheme improves the system frequency response while ensuring the stable operation of doubly-fed induction generators (DFIGs)-based variable-speed wind turbines (VSWTs) under various wind conditions. Furthermore, the scheme prevents rotor speed overdeceleration even when the wind speed decreases during frequency regulation control. Copyright © 2021, The Authors. All rights reserved.

关键词： Wind

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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...

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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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