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2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics, HVDC 2021

作者： Liu, Guowei Guo, Peiqian Yuan, Zhichang Zhao, Yuming Shenzhen Power Supply Corporation Shenzhen China Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781839537035

With effective properties, a resistive-type superconducting fault current limit (R-SFCL) has become an effective device to restrain DC-side bipolar short fault currents in multilevel modular converter multiterminal DC systems (MMC-MTDCs). However, due to the resistance-energy accumulation-dependent characteristics of the R-SFCL device, the fault durations and different fault current values will produce various output resistances at each fault stage, and the related coordinated protection and control strategy needs to be adjusted accordingly. Therefore, in the first part of this paper, we analysed the DC side short circuit current mechanism and the fault current restraint characteristics of R-SFCLs. Subsequently, to verify the above analysis, the R-SFCL-based four-terminal MMC-MTDC with DC bipolar short fault modelling and simulation are presented in the next section. Finally, based on the above analysis and research, the advanced DC bipolar fault control and protection strategies of the R-SFCL-based MMC-MTDC system are discussed to promote further study of coordinated and protection control and the application of R-SFCLs in subsequent engineering applications. © 2021 IET Conference Proceedings. All rights reserved.

关键词： Timing circuits

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ANALYSIS OF THE MULTI-MODE OSCILLATIONS OF OFFSHORE WIND FARMS 18

ANALYSIS OF THE MULTI-MODE OSCILLATIONS OF OFFSHORE WIND FAR...

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18th International Conference on AC and DC power Transmission, ACDC 2022

作者： Fan, Yupeng Dong, Wenkai Li, Peng Qin, Yi Jiang, Haojie Xie, Xiaorong Datang Guoxin Binhai Offshore Wind Power Generation Co. Ltd Jiangsu Province Yancheng224000 China State Key lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electric Engineering Tsinghua University Beijing100084 China China Datang Corporation Science and Technology General Research Institute Ltd Beijing100040 China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

Multi-mode oscillation (MMO) is more prone to happen in the offshore wind farm (OWF) than the onshore, which seriously impacts the safe operation of the system. In this paper, the mechanism for the MMO of the OWF is analytically studied. First, the impedance model (IM) of a grid-connected OWF is derived with the AC submarine cable modelled as a distributed parameter circuit (DPC). Second, since the DPC of N n sections can be approximately seen as composed of N identical capacitances in daisy-chain connection, based on the consistent control theory for homogeneous systems, the IM of the DPC is decoupled into N subsystems, each of which is composed of a x circuit. The IM of the DPC is the weighted sum of the IMs of the N subsystems. As each x circuit has one tip (jump between ±90°) in the amplitude(phase)-frequency characteristics (APFC), the IM of the cable will have N tips (jumps) in the APFC and is much more prone to intersect with the IM of the OWF. Thus, resonance is more likely to happen at multiple frequency points. Finally, effectiveness of the methods proposed and conclusions drawn is validated via study cases. © ACDC 2022. All rights reserved.

关键词： Offshore wind farms

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Multi-Stage Optimization Model for New power System Based on the Data Mining Algorithm 3

Multi-Stage Optimization Model for New Power System Based on...

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3rd International Conference on Clean and Green Energy Engineering, CGEE 2022

作者： Liu, Jian Liu, Zhijun Zhang, Jiahao Fu, Guanhua Zhu, Lei Zhao, Ergang Hangzhou Power Supply Company State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China Wuxi Research Institute of Applied Technologies Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Dept. of Electrical Engineering Beijing China

ISBN: (数字)9781665452656

ISBN: (纸本)9781665452656

The construction of a new power system with new energy as the mainstay is conducive to accelerating the green transformation of the economy and society and high-quality development. However, in the new power system, the new load spiking characteristics are obvious, and the increase in peak-to-valley difference on the load side will cause a greater impact on the traditional power system. To achieve the goal of building a new power system with new energy as the mainstay, the demand response potential of users needs to be fully explored, and to a certain extent, the demand side will be prompted to provide equivalent regulation resources to the power side, which is of great significance to alleviate the tension between power supply and demand and promote the consumption of renewable energy. Therefore, this paper develops a multi-stage optimization model for new power system based on data mining algorithms. The model is based on a cluster mining method to extract the typical electricity consumption behaviour characteristics of users. Then the demand response potential of multi-cluster customers is analysed and the demand response characteristics of multi-cluster customers are studied. Finally, a multi-stage demand response optimization model under the new power system is established. © 2022 IEEE.

关键词： Renewable energy resources

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Wind power Forecast Based on Dimensionality Reduction Using Ridge Regression 5

Wind Power Forecast Based on Dimensionality Reduction Using ...

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5th International Conference on Renewable Energy and power Engineering, REPE 2022

作者： Sun, Shuxin Wu, Fubao Qiao, Ying Lu, Zongxiang Hao, Yuchen Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Nanjing China Control Ctr State Grid Jiangsu Elect Power Co Ltd Nanjing210017 China

ISBN: (数字)9781665482066

ISBN: (纸本)9781665482066

In order to reduce the randomness and fluctuation of wind power, numerical weather prediction is usually used to forecast power generation. Due to the redundancy of numerical weather prediction factors, dimensionality reduction is carried out to improve the effectiveness of data processing and reduce the complexity of algorithm. In this paper, the multicollinearity diagnosis is carried out to show the existence of multicollinearity among numerical weather prediction variables. The ridge regression method is adopted to screen variables, so as to reduce the dimension of numerical weather prediction data, which are trained later by back propagation neural network or convolutional neural network to fit corresponding power data. In comparison with results using training data without preprocessing, dimensionality reduction can improve predicting effect in most cases and reduce the error caused by improper selection of neural network. © 2022 IEEE.

关键词： Regression analysis

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics 4

The Correlation Mechanism that Micro-Structure Parameters of...

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4th IEEE International Conference on Electrical Materials and power equipment, ICEMPE 2023

作者： Meng, Pengfei Guo, Jingke Zhao, Long Lu, Wenhao Liu, Zheng Li, Shan Zhou, Kai Hu, Jun Sichuan University College of Electrical Engineering Chengdu China State Grid Corporatio of China State Grid Linyi Power Supply Company Linyi China Extra High Voltage Power Transmission Company of Csg High Voltage Technology Department Guangzhou China Northwest Institute of Nuclear Technology State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Xi'an China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9798350334678

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters. © 2023 IEEE.

关键词： Microstructure

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Methodology for Capacity Credit Evaluation of Physical and Virtual Energy Storage in Decarbonized power System

arXiv

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arXiv 2023年

作者： Qi, Ning Li, Peng Cheng, Lin Zhang, Ziyi Huang, Wenrui Yang, Weiwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing100084 China Co. Ltd Tongzhou District Beijing101100 China

Energy storage (ES) and virtual energy storage (VES) are key components to realizing power system decarbonization. Although ES and VES have been proven to deliver various types of grid services, little work has so far provided a systematical framework for quantifying their adequacy contribution and credible capacity value while incorporating human and market behavior. Therefore, this manuscript proposed a novel evaluation framework to evaluate the capacity credit (CC) of ES and VES. To address the system capacity inadequacy and market behavior of storage, a two-stage coordinated dispatch is proposed to achieve the trade-off between day-ahead self-energy management of resources and efficient adjustment to real-time failures. And we further modeled the human behavior with storage operations and incorporate two types of decision-independent uncertainties (DIUs) (operate state and self-consumption) and one type of decision-dependent uncertainty (DDUs) (available capacity) into the proposed dispatch. Furthermore, novel reliability and CC indices (e.g., equivalent physical storage capacity (EPSC)) are introduced to evaluate the practical and theoretical adequacy contribution of ES and VES, as well as the ability to displace generation and physical storage while maintaining equivalent system adequacy. Exhaustive case studies based on the IEEE RTS-79 system and real-world data verify the significant consequence (10%-70% overestimated CC) of overlooking DIUs and DDUs in the previous works, while the proposed method outperforms other and can generate a credible and realistic result. Finally, we investigate key factors affecting the adequacy contribution of ES and VES, and reasonable suggestions are provided for better flexibility utilization of ES and VES in decarbonized power system. © 2023, CC BY.

关键词： Behavioral research

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Research on Optimal Configuration and Operation Strategy of Distributed Energy Storage System

Research on Optimal Configuration and Operation Strategy of ...

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2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2022

作者： Liu, Jian Le, Quanming Chen, Biao Xu, Xianghai Yang, Xuan Zhao, Ergang Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China Wuxi Research Institute of Applied Technologies Tsinghua University Wuxi China Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing China

ISBN: (数字)9781665480901

ISBN: (纸本)9781665480901

With the continuous advancement of the 'dual carbon' goal, problems such as the peak-to-valley fluctuation characteristics of the power system load and the frequent overloading of lines are gradually becoming more prominent. At the distribution network level, too low line utilization will lead to idle assets, and too high line transmission capacity will lead to heavy overload and make it impossible for distributed power output to be connected to the grid. Aiming at the above problems, this article proposes an optimized configuration model of distributed energy storage system considering factors such as power flow, energy storage operation, life loss, and utilization of distribution network equipment. This model considers the constraints of distribution network power flow constraints, energy storage operation, and equipment utilization constraints. Minimizing the total energy storage system investment is the optimization goal. A mixed-integer second-order cone programming model using the second-order cone relaxation technique, so as to solve the optimal configuration and operation strategy of the distributed energy storage system. The case analysis shows that the optimal allocation of distributed energy storage considering multiple factors such as line utilization efficiency can ameliorate the line utilization efficiency, grid load peak-to-valley difference and the overall utilization rate of distribution network assets. © 2022 IEEE.

关键词： Energy storage

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Short-term power Prediction Based on Improved NWP Data Considering Wind Speed Distribution Inner Wind Farm 6

Short-term Power Prediction Based on Improved NWP Data Consi...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Ma, Wei Qiao, Ying Lu, Zongxiang Liang, Zhifeng Li, Jiaming Hao, Yuchen Tsinghua University State Key Laboratory of Control and Simulation Power Systems and Generation Equipments of Electrical Engineering Beijing China State Grid Corporation of China Beijing China State Grid Jiangsu Power Grid Corporation Nanjing China

ISBN: (纸本)9798350347159

The wind farm has only one NWP data point, which cannot accurately reflect the wind resources inside the wind farm. To solve the problem of a poor match between short-term wind power prediction numerical weather forecast and wind farm measured weather. Put forward a kind of based on clustering and temporal characteristics of the modified liters of scale wind power prediction method, first of all, using EOF orthogonal decomposition method to extract the features of each fan, using hierarchical analysis method of the characteristics of the data matrix clustering, and then, each cluster sample selected representative of a fan, using the error transfer characteristic of the NWP data sequence is modified. Finally, The CNN prediction model is used for power prediction, and the weight is determined according to the cluster sample size. A wind farm in northern Hebei, China, is used to verify the effectiveness of the proposed method. © 2022 IEEE.

关键词： Weather forecasting

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Condition Evaluation of power Cables Based on BiLSTM with Siamese Attention

Condition Evaluation of Power Cables Based on BiLSTM with Si...

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power and Energy (PandaFPE), Panda Forum on

作者： Menglong Lin Jianning Chen Yuanxiang Zhou Zehua Pan Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China Beijing Electric Power Research Institute State Grid Beijing China

The fast and accurate state evaluation of cable plays an important role in the safe and reliable operation of power system. Thus a high-voltage cables condition evaluation model based on siamese-attention bidirectional long short-term memory (SA-BiLSTM) is proposed in this paper. First, the attention mechanism was used to optimize the BiLSTM network, which can complete parallel training while obtaining global information. then the optimized network was adopted to build a siamese neural network framework, realizing data classification by calculating the Euclidean distance between feature vectors. Finally, the model was trained and tested through the online monitoring data of high-voltage cables from engineering. The results showed that the accuracy rate, precision, recall rate, F1 score and Matthews correlation coefficient of the SA-BiLSTM model was increased at least by 7.92%, 11.79%, 11.41%, 12.04%, and 20.90%, respectively, compared with other models.

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Research on Multi-Level Collaborative Scheduling Model Based on Distributed power Connected to the New power System

Research on Multi-Level Collaborative Scheduling Model Based...

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power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Ji Zhou Zijun Yang Kai Li Lei Xia Huilei Tan Lina Xu State Grid Corporation of China Beijing China State Grid Jiangsu Electric Power Co. Ltd Nanjing Jiangsu Province China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

After the distributed power supply connects to the new power system, the power grid scheduling is affected by voltage flash during the grid scheduling, resulting in an increase in operating costs of the power grid. It is proposed that the high -penetration distribution power supply connects the diversified electric energy dual -layer scheduling method of the new power system. After mastering the current adjustment of the load and credible contribution information of the power grid, this paper builds a multi -purpose power system diversified power dual-layer scheduling model based on multi -target optimization. The upper layer scheduling target of this model is to optimize the quality of diversified electricity. The lower layer scheduling goal is to maximize the economic benefits of the new power system. The minimum value method can be solved to achieve the upper and lower target functions. The system schedules the optimal solution to ensure that under the access to high penetration distributed power supply, to ensure the maximization goal of the economic benefits of the power grid, it reasonably dispatches the displacement of the distributed power supply, and realizes the optimization of the diversified power quality of the new power system. The experimental results show that under the scheduling of this method, the voltage offset of the photovoltaic grid system is reduced by 0.60 MV. The operating cost of the new power system is also effectively controlled. Compared with that before the scheduling, this method is available.

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