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2023 International Conference on Power system Technology, PowerCon 2023

作者： Li, Li Qin, Changlong Kan, Changtao Yang, Jialun Li, Guanqun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

High-voltage direct current (HVDC) based on modular multilevel converter (MMC) is an efficient way to integrate wind farms. However, following short-circuit fault on transmission line, wind turbines (WTs) may lose synchronization with sending-end MMC. As a result, delivery and consumption of wind power are under risk. This paper investigates the mechanism of synchronous instability of wind farm integrated MMC-HVDC system under the severe grid faults. First, a synchronization stability model of the whole is stablished, the existing of stable equilibrium points (SEPs) and the damping characteristic of the whole system are analyzed. Then, a synchronization stability enhancement strategy is proposed based on the coordination of WT and MMC. Last, the effectiveness of proposed strategy is verified by time-domain simulation. © 2023 IEEE.

关键词： Transient analysis

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Learning Agile Quadrotor Flight in Restricted Environments with Safety Guarantees

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on intelligent Vehicles 2024年第9期9卷 1-8页

作者： Chen, Shiyu Li, Yanjie Lou, Yunjiang Lin, Ke Wu, Xinyu Department of Control Science and Engineering Harbin Institute of Technology Shenzhen and Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Shenzhen China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

With the increasing requirement for agile and efficient controllers in safety-critical scenarios, controllers that exhibit both agility and safety are attracting attention, especially in the aerial robotics domain. This paper focuses on the safety issue of Reinforcement Learning (RL)-based control for agile quadrotor flight in restricted environments. To this end, we propose a unified Adaptive Safety Predictive Corrector (ASPC) to certify each output action of the RL-based controller in real-time, ensuring its safety while maintaining agility. Specifically, we develop the ASPC as a finite-horizon optimal control problem, formulated by a variant of Model Predictive control (MPC). Given the safety constraints determined by the restricted environment, the objective of minimizing loss of agility can be optimized by reducing the difference between the actions of RL and ASPC. As the safety constraints are decoupled from the RL-based control policy, the ASPC is plug-and-play and can be incorporated into any potentially unsafe controllers. Furthermore, an online adaptive regulator is presented to adjust the safety bounds of the state constraints with respect to the environment changes, extending the proposed ASPC to different restricted environments. Finally, simulations and real-world experiments are demonstrated in various restricted environments to validate the effectiveness of the proposed ASPC. IEEE

关键词： Reinforcement learning

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Auction-based Energy Sharing Model for Large-scale PV Prosumer Clusters in Uncertain Environments

Auction-based Energy Sharing Model for Large-scale PV Prosum...

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IEEE General Meeting Power& Energy Society

作者： Shuai He Ming Yang Donghua Yang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

The development of distributed photovoltaics (PV) has led to a sharp increase in the number of PV prosumers, forming a large-scale PV prosumer cluster. Energy sharing is an effective method to enhance the economics of PV prosumer clusters and promote the local consumption of distributed PV. Large-scale PV prosumer clusters will increase the computational cost of energy sharing. Meanwhile, the uncertainty of PV is also stronger and needs to be considered. So, an auction-based energy sharing model for large-scale PV prosumer clusters in uncertain environments is proposed. First, an energy sharing market framework based on a call auction mechanism is established. The clearing goal of the energy sharing service provider is to maximize social welfare. Secondly, proposes an energy sharing decision model for different types of prosumers with conditional value at risk (CVaR) and expected values as the objectives. Thirdly, consider the decision-making preferences of different types of prosumers and analyze the impact of the proportion of different types of prosumers on energy sharing. Finally, a distribution system containing 20 prosumers is used to verify the effectiveness and feasibility of the proposed method.

关键词： Economics Photovoltaic systems Uncertainty Electricity Computational modeling Decision making Computational efficiency

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Enhanced Robust Scheduling Approach Considering Dynamic Flexibility Support from District Heating systems

Enhanced Robust Scheduling Approach Considering Dynamic Flex...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Wenzhang Zheng Peng Li Ming Yang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Apart from flexibility resources, e.g., thermal generators and battery energy storage system in electrical power system, dynamic heating networks and flexible heat loads in district heating systems could also provide considerable reserve capacity support for electrical power system. To accurately quantify the reserve support capacity, two operating periods of district heating systems, i.e., reserve capacity support providing period (RCPP) and reserve capacity support recovery period are designed in the paper. A novel dynamic flexibility support interaction mechanism among multiple district heating systems is then presented, and a corresponding scheduling strategy is proposed to coordinate electrical power system and district heating system (DHS), where the concept of allowable regulating capacity exchange interval is introduced to make full use of reserve capacity in DHS. And then, an enhanced robust scheduling model is developed for electrical power systems, where both of the wind power allowable region and operational costs are involved. Case studies demonstrate the proposed method effectively tackles the flexibility coordination between electrical power system and multiple district heating systems.

关键词： Costs Battery energy storage system District heating Power system dynamics Wind power generation Dynamic scheduling Generators Thermal loading Heat recovery Resistance heating

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Human Reliability Analysis of Professional Theater Based on CREAM

Human Reliability Analysis of Professional Theater Based on ...

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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Wang, Huiqin Wang, Huiqi Ren, Hui Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (纸本)9798350380347

In the context of human/equipment interaction processes, human error has become a significant factor influencing performance risk in professional theaters. To address this issue, the Cognitive Reliability and Error Analysis Method (CREAM) is integrated with fuzzy inference to assess the human reliability of theater staff and predict the probability of human error (HEP). Additionally, Grey Relational Analysis (GRA) is introduced to determine the weights of Common Performance Conditions (CPCs) within CREAM. Through this methodological framework, human reliability analysis of theater operators is conducted, enabling the prediction of human error rates across various scenarios. Subsequently, corresponding measures are provided, culminating in an effective solution to enhance performance safety within theatrical environments. © 2024 IEEE.

关键词： Reliability analysis

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SCD File Management and Parsing Method Based on Graph Database: ∗Note: Sub-titles are not captured in Xplore and should not be used

SCD File Management and Parsing Method Based on Graph Databa...

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2023 International Conference on Power system Technology, PowerCon 2023

作者： Gu, Qianshuo Cong, Wei Chai, Qingfa Wang, Ruimei Wang, Feng Li, Yiquan Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Guangdong Power Grid Co. Ltd. Power Dispatching and Control Center Guangzhou China

ISBN: (纸本)9798350300222

Aiming at the low level of SCD file management in smart substation, a method of SCD file management and analysis based on graph database is proposed. First, the file structure and function model of SCD under the SCL model are analyzed, and analyzed into DOM structure tree. Then, the SCD knowledge graph was constructed, and the Neo4j graph database was used for storage, management and parsing. Python was used to implement the method, and the visibility and query performance of the method were tested. The results show that this method is helpful to the management of SCD files and can improve the efficiency of operation and maintenance staff. © 2023 IEEE.

关键词： Graph Databases

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Preventive control Method of Improving Transient Voltage Stability for Power system Based on the Attention of CNN

Preventive Control Method of Improving Transient Voltage Sta...

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2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

作者： Li, Zhendong Yan, Jiongcheng Liu, Yutian Li, Li Qu, Hanbing The Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9798350322699

The widespread integration of renewable generation and the changes in load structure bring significant challenges to the transient voltage stability of large-scale power systems. In order to achieve fast decision of preventive control for improving transient voltage stability, this paper proposes a preventive control method based on the attention of Convolutional Neural Network (CNN). An optimization decision model is established, which not only considers multiple traditional constraints but also introduces the model attention indicator based on Gradient-weighted Class Activation Mapping (Grad-CAM), enabling a more targeted improvement of transient voltage stability. The proposed indicator is capable of extracting the knowledge learned by CNN-based transient voltage assessment model, and utilizing it to guide the optimization decision-making of preventive control. Simulation results of provincial grid of eastern China demonstrate that the optimized control scheme can effectively enhance the transient voltage stability of power systems. © 2023 IEEE.

关键词： model attention indicator power system preventive control transient voltage stability

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Power Ramp Extremes Two Stage Forecast based on Auto Encoder and Bi-LSTM

Power Ramp Extremes Two Stage Forecast based on Auto Encoder...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Chuanqi Wang Ming Yang Yixiao Yu Menglin Li Shuaijie Shan Yuanhe Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Power ramp is one of the stages with the largest error of renewable energy power forecast. The deviation in the forecast of the time and values of the start-end points will lead to a significant forecast error to the whole ramp process. Therefore, accurate power ramp forecast can effectively improve the renewable energy power forecast accuracy. In this paper, SDAE is applied on encoding the meteorological features of the power ramp process. Then, the coded part is then spliced with a classifier and fine-tune, promote the output with clear category identity. Finally, the coding is fed into a bidirectional neural network to forecast the power at the start-end points. In case study, the proposed method in this paper demonstrated an improvement in the accuracy of extreme forecast of start-end points power by 4.94%in comparison to the power forecast based ramp recognition method.

关键词： Degradation Renewable energy sources Accuracy Neural networks Asia Weather forecasting Encoding Timing

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Impact assessment for large-scale off-grid of renewable energy on weakly interconnected systems 6

Impact assessment for large-scale off-grid of renewable ener...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Li, Li Qin, Changlong Dong, Xin Qiao, Rongfei Yang, Jialun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350346671

Under the background of increasingly serious off-grid problems of renewable energy, this paper analyzes the impact of large-scale off-grid of renewable energy and voltage stability in the weakly interconnected system. First, an improved index is proposed based on Simpson formula for assessing transient voltage stability and achieving early warning of instability risk. Then, based on the simulation of a real-life UHV (Ultra-high voltage) weakly interconnected system, two typical cascading failure scenarios are reasonably anticipated. These cascading failures contain a series of renewable energy off-grid and blocking of DC transmission caused by different initial failures, whose voltage stability is evaluated by the proposed index. Besides, the nature of cascading failure evolution is analyzed. Finally, accuracy and efficient of the proposed index are verified. © 2023 IEEE.

关键词： Transients

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Fault Identification of Secondary Equipment in the intelligent Substation 2

Fault Identification of Secondary Equipment in the Intellige...

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2022 2nd International Conference on intelligent Power and systems, ICIPS 2022

作者： Huang, Jiayin Zhang, Chi Ding, Xiaobing Peng, Ye Gao, Honghui Gao, Zhanjun Liu, Zhao CSG Power Dispatching and Control Center China Southern Power Grid Guangzhou China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

With the continuous expansion of the scale of the power system and the increasingly complex structure, the intelligent construction of the power grid continues to deepen and the construction scale of smart substations as the core part of the smart grid is also expanding. At present, higher requirements are put forward for the operation and maintenance of the secondary system of the smart substation. Therefore, the fault diagnosis of the secondary system of smart substations has become an important research direction for smart grid construction. This paper proposes a secondary system fault location method for smart substations. The method uses a search algorithm based on an adjacency list and skyline query to determine the fault area. This scheme is applicable when the fault information is complete or not. Compared with the method of using the neural network to directly locate the fault of the whole network components, the training scale of the neural network is reduced and the "uncritical"feature quantity is reduced for the fault location. It highlights the value of "key"feature quantities and effectively improves the accuracy of the fault location. © Published under licence by IOP Publishing Ltd.

关键词： Location

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