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International Conference on power system Technology (powerCON)

作者： Qingfa Chai Yi Tang Quan Wang Jiayin Jiang Anning Wang Yudun Li Congcong Li Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

Aiming at the problems such as low efficiency of relay protection setting management and remote setting, risk of error in setting delivery and setting, and difficulty of quick warning of setting value mutation, this paper proposes a method of relay protection setting management and remote setting based on hash value check. A remote setting system of setting value is established, which is composed of block chain server, substation centralized control master station, control cloud platform and protection device. The setting value is set and transferred remotely in the form of file. The block hash encryption of the setting value file is carried out, and the block chain provides reliable data storage and transmission services, so that the setting value file cannot be tampered with in the flow of all parts. Ensure the high reliability of relay protection remote setting. The engineering test results show that the proposed method is reliable and effective, and can provide technical support for the reliable automatic setting of setting values.

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Synergistic Optimization of power & Capacity Configuration Considering control Strategy for Flywheel Energy Storage Participating in Primary Frequency Regulation

SSRN

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SSRN 2024年

作者： Liang, Lu Hong, Feng Ji, Weiming Jiang, Hui Hao, Junhong Fang, Fang Liu, Jizhen The State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China Key Laboratory of Power Station Energy Transfer Conversion and System Ministry of Education School of Energy Power China

The intermittent and stochastic nature of renewable energy sources poses stern challenges to the frequency stability of new power system. The flywheel energy storage system (FESS), with its rapid response and high power density, plays a pivotal role in mitigating frequency fluctuations. To improve the performance of the FESS assisting thermal power unit (TPU), a collaborative optimization methodology of the capacity configuration and control strategy for FESS is presented in this paper. Aiming to enhance the primary frequency control (PFC) performance and reduce the life-cycle cost of the FESS, this paper established a capacity configuration model based on a dynamic adaptive control strategy, in which FESS compensates for the lack of TPU frequency regulation capability and recovery SOC actively. A case study demonstrated that the optimization model proposed is suitable for different frequency scenarios. It has been verified that the control strategy which is based on the SOC of FESS and frequency regulation capability of the TPU is economically more attractive compared to traditional strategies. In addition, this study revealed that a FESS with a charge/discharge rate of 7.5 C and rated power of 7.6 MW was appropriate for assisting a 600MW TPU in PFC by the optimal capacity configuration and control strategy. © 2024, The Authors. All rights reserved.

关键词： Wheels

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Cyber-Attack Risk Assessment and Prevention Strategy of Substations Based on Dynamic Attack and Defense Game

Cyber-Attack Risk Assessment and Prevention Strategy of Subs...

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power system and Green Energy Conference (PSGEC)

作者： Feng Lin Yong Mei Yihua Zhu Dongxu Chang Ren Liu Hengdao Guo Power Dispatch and Control Center China Southern Power Grid GuangZhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid GuangZhou China National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid GuangZhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid GuangZhou China Guangdong Provincial Key Laboratory of Intelligent Operation & Control for New Energy Power System GuangZhou China

With the improvement of the informatization of the power system, the risk of cyber attack is also increasing. This paper proposes a risk assessment and prevention strategy for cyber attack against substations. Firstly, the cyber attack against substations are modeled based on the game theory of dynamic attack and defense. Secondly, an improved OPA (ORNL-PSERC-Alaska) model is utilized to analyze the cascade failure after cyber attacks and quantify the load loss of power system. Finally, a preventive strategy which can mitigate the expectation load loss caused by cyber attack against substations is put forward. simulation experiments were conducted to validate the effectiveness of the proposed method.

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Matching Based Intelligent Edge Resource Allocation 3rd

Matching Based Intelligent Edge Resource Allocation

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3rd International Conference on Artificial Intelligence, 2022

作者： Qin, Peng Wang, Miao Zhao, Xiongwen Liu, Jiayan Wang, Shuo He, Haoting Xie, Yuanbo State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China Hebei Key Laboratory of Power Internet of Things Technology North China Electric Power University Baoding071003 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789811694226

With the rapid development of the Internet of Things, multi-access edge computing (MEC) has emerged as a key technique and intelligent edge resource allocation has become one of the important research issues in MEC. In this paper, we utilize advantages of matching game to integrate users’ needs and the position of edge computing nodes in IoT networks. The proposed GS-based two-sided matching approach simulates the competition and negotiation relationship between different user sets in IoT edge nodes, and provides feasible options based on the preference between different entities. simulations show that it not only solves the problem of edge resource allocation in a semi-distributed manner, but also effectively improves SP’s revenue. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Edge computing

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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International Conference on power system Technology (powerCON)

作者： Yinjuan Xue Qifang Chen Haiqing Cai Mingchao Xia Haohan Gu School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Guangzhou China

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples.

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Planning Method for Layered and Partitioned Integration of Renewable Energy 5

Planning Method for Layered and Partitioned Integration of R...

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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Yang, Jinye Cao, Yongji Zhang, Hengxu Mi, Yuanze Sun, Leshu Li, Chen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Lyngby Denmark State Grid Jinan Electric Power Company State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781665485081

Considering the problems of power flow fluctuation and voltage excursion caused by the large-scale integration of renewable energies, a layered and partitioned planning method is proposed for wind-PV clusters. Firstly, based on transmission line impedance, a partition method is proposed for the power grid. Secondly, a multi-indicator assessment framework including voltage excursion, power flow fluctuation and economic operation is provided. Finally, an optimization model is established to minimize the curtailment of renewable energies. The model is solved using the second-order cone approximation of AC power flow. Finally, the effectiveness of the proposed model was verified on the IEEE-39 bus system. © 2022 IEEE.

关键词： Electric load flow

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Unsupervised Domain Adaptation Using Attention Network and New Loss Function

Journal of Network Intelligence

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Journal of Network Intelligence 2022年第3期7卷 704-718页

作者： Zhao, Li-Quan Zhou, Si-Ying Teng, Zi-Ming Jiang, Zi-Cong Jia, Yan-Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of information and communication Jilin University Changchun130012 China Graduate school of Information Science and Electrical Engineering Kyushu University Fukuoka819-0395 Japan School of Electrical and Information Engineering Beihua University Jilin132013 China

An unsupervised domain adaptation method is proposed based on the step-wise adaptive feature norm method to improve transfer learning accuracy. The feature extraction network consists of channel attention and spatial attention modules, which en-hance feature extraction ability. To reduce the influence of dimension change on channel weight, a convolution layer with the same kernel size is used to replace the fully connected layer in the bottleneck layer used in the common channel attention module. In addition, a smooth loss function is also proposed. The curve of the proposed function is smoother than the L2 function that is the least square error function. The proposed function’s gradient changes more slowly than the L2 function. The proposed function is used as the activate function of classification prediction regression to reduce the risk of gradient explosion. Compared with a selection of existing methods (Resnet50, conditional domain adversarial networks method, deep adaptive network method, joint adaptation network method, domain adaptation neural network method, and stepwise adaptive feature norm method), the proposed transfer learning method has the highest accuracy than other methods on different datasets for all tasks. © 2022 Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Feature extraction

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Active Support Performance Test of Grid-connected Photovoltaic system Based on Grid-forming control

Active Support Performance Test of Grid-connected Photovolta...

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Intelligent power and systems (ICIPS), International Conference on

作者： Xinze Xi Yun Hu Chao Xing Qi Guo Shoudong Xu Liang Tu Peng He Yihua Zhu Mingzhang Su Chao Luo Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active support capability has become an inevitable trend in development. In this paper, the model of grid-connected photovoltaic system using GFL/GFM control is established. The support characteristic of GFM is compared and analyzed in different testing scenarios with GFL as the reference: (1) Small disturbance test (2) Large disturbance test (3) Island capability test. Finally, the active support performance of the system is quantitatively analyzed based on corresponding evaluation indexes.

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Renewable Energy Capacity Credit Assessment Method Considering Source-load Correlation 5

Renewable Energy Capacity Credit Assessment Method Consideri...

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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Mi, Yuanze Cao, Yongji Zhang, Hengxu Yang, Jinye Li, Chen Sun, Leshu Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Lyngby Denmark State Grid Shandong Electric Power Company State Grid Jinan Electric Power Company Jinan China

ISBN: (纸本)9781665485081

The capacity credit is an important index to measure the contribution of renewable energy to the power system. Considering the source-load correlation, a capacity credit assessment method is proposed in this paper. The Copula function is used to describe the correlation between renewable energy and load in seasonal scenarios, and a source-load joint probability distribution model is constructed to generate source-load correlation scenarios. Based on the source-load correlation scenarios, the assessment of capacity credit is performed from the perspective of source-load matching. Finally, the capacity credit assessment is carried out through a case study, and the result verifies the effectiveness of the proposed method. © 2022 IEEE.

关键词： Renewable energy resources

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Prediction and Preventive control Scheme for Wind and PV power Ramp Events

Prediction and Preventive Control Scheme for Wind and PV Pow...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Yifei Zhai Zengwei Wang Kunpeng Zhang Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power Grid Technology Center State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

As the large scale integration of photovoltaic and wind power into the grid increases, renewable energy ramp events have become a potential threat to the secure operation of the power grid. To effectively address renewable energy power ramp events, this paper proposes a prediction and preventive control scheme. First, a rolling warning approach is achieved by the long short-term memory network and fuzzy logic, which provides warning levels and guides decision-making for preventive control. Second, a two-stage optimization scheduling model is proposed, including a day-ahead and an intra-day sub-model. The two-stage scheduling model comprehensively considers power support from interconnectors and preventive control costs. simulation results demonstrate that the proposed scheme can provide adaptive preventive control strategies for power ramp events with varying risk levels, thereby enhancing the utilization of renewable energy and improving the security of power system.

关键词： Photovoltaic systems Renewable energy sources Adaptation models Costs simulation Decision making power system stability Wind power generation Wind forecasting Transient analysis

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