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3rd International Conference on Environmental Prevention and Pollution control Technologies, EPPCT 2021

作者： Chen, Fan Liu, Zhiqing Qiu, Jifu Lu, Zhipeng Chen, Ming Niu, Qingda Dong, Xiaoming Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Province Jinan250061 China State Grid Shandong Electric Power Company Shandong Province Jinan250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Shandong Province Qingdao266002 China

Renewable energy access will be an important trend in the development of the future power grid. In order to analyze the uncertainty brought by wind power access and improve the safety of the grid during steady-state operation, this paper models the uncertainty of wind power. An optimal power flow model considering the risk of power and voltage overruns is established. The model takes the optimal cost of power generation as the goal, takes into account the influence of transformer tap adjustment on system network parameters, and the constraint conditions take into account unit power and safety constraints, it is solved by the primal dual interior point method. The effectiveness of the model and algorithm proposed in this paper is verified by the IEEE14 test system. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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power System Transient Voltage Vulnerability Assessment Based on Knowledge Visualization of Cnn

SSRN

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SSRN 2023年

作者： Li, Zhendong Yan, Jiongcheng Liu, Yutian Liu, Weipeng Li, Li Qu, Hanbing Key Laboratory of Power Grid Intelligent Dispatch and Control Ministry of Education Shandong University 17923 Jingshi Road Jinan250061 China Department of Electrical and Computer Engineering Stevens Institute of Technology HobokenNJ07030 United States State Grid Shandong Electric Power Company Jinan Electric Power Supply Company Jinan250011 China

Because of the increasing proportion of grid-connected converters, the transient voltage problem has increased the risk of the secure and stable operation of power systems. As the extension of transient voltage stability assessment (TVSA), transient voltage vulnerability assessment is the key technique to detect the crucial elements which can cause the insecurity risk of power system transient voltage. Although deep learning-based TVSA models have demonstrated the high accuracy, it is more important to display the knowledge learnt by the models and utilize it to recognize the weakness of transient voltage. This paper presents a transient voltage vulnerability assessment method by knowledge visualization of convolutional neural network (CNN). First, the imageform sample construction method is proposed to characterize the power system operating condition, which prepares for training CNN-based TVSA model. Then, the knowledge in TVSA model is visualized based on Gradient-weighted Class Activation Mapping (Grad-CAM) and Activation Maximization (AM) algorithms, which is analyzed from the perspective of power system stability. Finally, a comprehensive vulnerability indicator is proposed for recognizing the weakness of transient voltage, which combines the knowledge inside the TVSA model and the indicators with clear physical meaning. Simulation results of the New England 39-bus test system and the real Shandong provincial power grid demonstrate that the visualization makes the model more reliable and the proposed method can accurately identify the vulnerable branches. © 2023, The Authors. All rights reserved.

关键词： Chemical activation

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Improved Comprehensive Inertial control for ESS Participating Primary Frequency Regulation Based on Fuzzy control 5

Improved Comprehensive Inertial Control for ESS Participatin...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Xiang, Yongjian Xu, Yunhui Zhou, Tao Dai, Zhongjian Ren, Bixing Zhang, Lei Nanjing University of Science and Technology School of Automation Nanjing China State Grid Lishui Power Supply Company Substation Operation Inspection Center Lishui China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Changzhou Power Supply Company Operation and Maintenance Department Changzhou China Jiangsu Electric Power Test Research Institute Co. Ltd. Nanjing China China Classification Society Product Plan Approval Center Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

ESS (energy storage system) has many advantages such as flexible control, large throughput capacity and fast response speed and can provide strong support for system frequency stability with larger-scale renewable energy. In order to enhance the frequency regulation effect of ESS, this paper proposes an improved comprehensive inertia control strategy based on FC (fuzzy control). The conventional droop control is replaced by fuzzy control to improve the regulation performance and adaptivity of the whole process. SOC (state of charge) is adopted as the input of FC to consider the secure and stable constraints of ESS. In addition, FC is also applied to adjust the virtual inertia coefficients online. The proposed strategy combines the advantages of comprehensive inertial control and adaptive control and improve the frequency supporting ability of ESS under different operation conditions. Finally, simulations are conducted to demonstrate the feasibility of the proposed method. © 2022 IEEE.

关键词： Fuzzy control

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Optimization of Energy Storage Capacity to Smooth Wind power Fluctuation 3

Optimization of Energy Storage Capacity to Smooth Wind Power...

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3rd International Conference on Environmental Prevention and Pollution control Technologies, EPPCT 2021

作者： Cao, Zenggong Wang, Chunyi Peng, Bo Wang, Yasong Du, Peng Guo, Yinglei Wei, Zhen Dong, Xiaoming State Grid Shandong Electric Power Company Shandong Province Jinan250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Shandong Province Qingdao266002 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Province Jinan250061 China

The uncertainty and randomness of wind power generation bring hidden trouble to the safe operation of power distribution network. Combining energy storage system with wind power generation can effectively improve the output characteristics of wind power generation. In this paper, considering the investment cost of energy storage and the effect of suppressing the fluctuation of wind power output, the optimization of energy storage capacity under the scenario of wind power grid connection is studied. Firstly, the multi-objective capacity optimization model of the energy storage system is established to minimize the cost of the energy storage system and the variance of wind power system output equipped with energy storage. Then, the multi-objective optimization problem is transformed into a single objective optimization problem by introducing the weight coefficient of the objective function and the particle swarm optimization algorithm (PSO) is used to solve the problem. Finally, through the test of IEEE-33 bus distribution network system, the relationship curve between energy storage capacity and wind power fluctuation suppression effect is obtained. The results of numerical examples show the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Influencing Factor and Error Analysis of Operating Capacitor Voltage Transformer Harmonic Measurement 2

Influencing Factor and Error Analysis of Operating Capacitor...

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2021 2nd International Conference on Electrical Technology and Automatic control, ICETAC 2021

作者： Zhang, Yan Wang, Huajia Yu, Danwen Yang, Liu Cao, Wenjun Yang, Yongxin State Grid Shandong Electric Power Research Institute Jinan250003 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid Energy Research Institute Co. Ltd. Beijing100031 China

With the increasing demands of power quality monitoring and management, the problem of harmonic measurement error caused by the widespread operation of capacitor voltage transformers (CVT) in high-voltage power grids has been unavoidable. This paper analyses the influence of environmental factors on harmonic measurement error of CVT, and proposes a new method for analysing the harmonic measurement errors of operating CVT, which explains the unstable phenomenon of CVT measurement errors based on field comparison test, and provides a progressing screening method of effective analysis data. the CVT harmonic error characteristic analysis method proposed in this paper considers the impact of field installation conditions, electromagnetic environment, and other actual operating environment, which can reflect the actual harmonic error characteristics of CVT in field operation. A CVT harmonic measurement system is established based on the proposed method. The validation and effectiveness of the proposed method is illustrated on a field measurements of 1000kV CVT in Shandong Province. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Measurement errors

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Real-time power Transmission and Transformation Online Monitoring based on Convolutional Neural Network Algorithm

Real-time Power Transmission and Transformation Online Monit...

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Augmented Intelligence and Sustainable Systems (ICAISS), International Conference on

作者： Yubo Zhang Yubin Feng Chengwei Huang Electric Power Research Institute of Guangxi Power Grid Co. Ltd. NanNing Guangxi Guangxi Key laboratory of Intelligent Control and Maintenance Power Equipment NanNing Guangxi Power Supply Bureau of Guangxi Hezhou Power Grid Co. Hezhou Guangxi

ISBN: (纸本)9781665489638

The convolution operation is vectorized by using single instruction multiple data stream (SIMD). The SIMD instruction in the CPU is used to realize the vectorized convolution operation, eliminating the synchronization overhead of parallel computing, and at the same time multiplexing the data in the register, reducing the number of memory reads and writes. Relying on the power production management information system (PMS), it aims to research and establish a set of A complete and unified online monitoring system for the status of power transmission and transformation equipment. The Internet of Things system architecture for power transmission and transformation equipment at the information integration layer and the intelligent application layer, and a detailed discussion of several key technologies involved in the system architecture, mainly including integrated intelligence Monitoring device, coding and identification system, communication technology, panoramic information modeling. The original input data is grouped and allocated to different data node groups to realize data parallelism; for the data of each data node group, pipeline parallelism is adopted.

关键词： Production management Convolution power transmission Systems architecture Parallel processing Real-time systems Registers

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Design of Wireless Monitoring Node for power Transformers Based on BLE

Design of Wireless Monitoring Node for Power Transformers Ba...

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Electrical Engineering and Mechatronics Technology (ICEEMT), IEEE International Conference on

作者： Liangyuan Chen Dajian Li Ke Zhou Jian Zhao Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Corporation Co. Ltd. Nanning Guangxi Zhuang Autonomous Region China Guangxi Power Grid Corporation Co. Ltd. Nanning Guangxi Zhuang Autonomous Region China Electric Power Research Institute of Guangxi Power Grid Corporation Co. Ltd. Nanning Guangxi Zhuang Autonomous Region China

To address the issues of high data cost, large power consumption, and slow communication rate associated with the traditional wireless monitoring nodes for power transformers, this paper proposes a novel BLE (Bluetooth Low Energy) based wireless monitoring node for power transformers. BLE can meet both the high communication rate and low-power requirements for the monitoring node. Besides, the temperature sensing circuit is designed and circuit simulations are conducted to determine the proper parameters of each component in the circuit. In order to reduce the power consumption of monitoring node, an external low-power wake-up circuit is designed. Then, the working stages of the monitoring node and corresponding power consumptions are analyzed to determine the appropriate sleep time. Finally, the hardware of the proposed low-power wireless monitoring node is implemented and tested for power consumptions under different working states. The test results indicate that the monitoring node exhibits commendable attributes, including compact size, low power consumption, and remarkable efficiency, providing an effective monitoring method for transformer.

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Peak shaving market mechanism of captive power plants considering energy consumption characteristics of enterprises

Peak shaving market mechanism of captive power plants consid...

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International Conference on power System Technology (powerCON)

作者： Hanghang Liu Daning You Yanbin Cai Guoqiang Zhang Hao Wang Li Zhang Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (纸本)9781665407380

The continuously increased renewable energy has brought tremendous pressure to the operation of power system. To enhance dispatching flexibility, it is necessary to build peak shaving market and include captive power plants in the transaction. Considering the peculiarity of captive power plants, a mechanism of captive power plants to participate in peak shaving auxiliary services market is proposed, in which the captive power plant must meet the enterprise's own demand for steam and heat when it takes part in market bidding and clearing. The mechanism is established on the basis of the provincial spot market, emphases are focused on declaration and settlement rules. Case studies show that the mechanism can make the captive power plant play its peak shaving role without affecting the production of the enterprise. Thus, the mechanism is practicable and promising in promoting the consumption of renewable energy.

关键词： Heating systems Couplings Renewable energy sources Energy consumption Production dispatching power systems

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A non-interactive verifiable computation model of perceptual layer data based on CP-ABE 2

A non-interactive verifiable computation model of perceptual...

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2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022

作者： Zhao, Jianming Miao, Weiwei Zeng, Zeng Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China State Grid Jiangsu Electric Power Co. Ltd. Information Telecommunication Branch Nanjing China

ISBN: (纸本)9781665408868

The computing of smart devices at the perception layer of the power Internet of Things is often insufficient, and complex computing can be outsourced to server resources such as the cloud computing, but the allocation process is not safe and controllable. Under special constraints of the power Internet of Things such as multi-users and heterogeneous terminals, we propose a CP-ABE-based non-interactive verifiable computation model of perceptual layer data. This model is based on CP-ABE, NPOT, FHE and other relevant safety and verifiable theories, and designs a new multi-user non-interactive secure verifiable computing scheme to ensure that only users with the decryption key can participate in the execution of NPOT Scheme. In terms of the calculation process design of the model, we gave a detailed description of the system model, security model, plan. Based on the definition given, the correctness and safety of the non-interactive safety verifiable model design in the power Internet of Things environment are proved, and the interaction cost of the model is analyzed. Finally, it proves that the CP-ABE-based non-interactive verifiable computation model for the perceptual layer proposed in this paper has greatly improved security, applicability, and verifiability, and is able to meet the security outsourcing of computing in the power Internet of Things environment. © 2022 IEEE.

关键词： Internet of things

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Optimization method of Data interaction in power IoT based on particle swarm algorithm 2

Optimization method of Data interaction in power IoT based o...

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2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022

作者： Wang, Tianyu Miao, Weiwei Zeng, Zeng Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China State Grid Jiangsu Electric Power Co. Ltd. Information Telecommunication Branch Nanjing China

ISBN: (纸本)9781665408868

The ubiquitous power Internet of things (IoT) constructs an intelligent service system with comprehensive perception, efficient response and flexible processing around all departments of the power system and with the support of communication technologies such as mobile Internet and artificial intelligence. With the rapid development of smart IoT perceptual devices and edge computing, it has become possible for perceptual devices and edge IoT agents to cooperate in processing tasks. The task completion time can be greatly reduced through the cooperative processing among multiple entities in the IoT. However, as the scale of the Internet of things and number of to-be-processed tasks expanding year by year, the simple task data interaction between devices can not meet the needs of the completion time. Therefore, it is an urgent problem to optimize data transmission and data interaction in the process of collaborative task processing among IoT devices. Motivated by this point, we propose an optimization method of data interaction in power IoT based on particle swarm algorithm. Evaluation on example IoT networks shows the effectiveness of our method to reduce overall task completion time. © 2022 IEEE.

关键词： Internet of things

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