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SSRN 2023年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Han, Yiming Tang, Yutao State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2023, The Authors. All rights reserved.

关键词： Frequency response

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Scheduling Model for Inter-regional HVDC Tie-line Generation and Transmission System Considering Conditional Sections

Scheduling Model for Inter-regional HVDC Tie-line Generation...

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2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020

作者： Xu, Fan Cao, Rongzhang Tu, Mengfu Zhang, Yantao Yang, Leyong Zhang, Dandan State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781728143033

The HVDC transmission schedule for clean energy seldom considers the demand of receiving grid. With the expansion of clean energy scale, it brings great pressure to the receiving grid for safe and stable operation. For this reason, a generation and transmission scheduling model of inter-regional HVDC tie-line system considering conditional section is proposed. A step power adjustment model for the HVDC tie-line operation optimization is developed with consideration given to various constraints on tie-line power, which not only give full play to the characteristics of HVDC tie-line that can be flexibly adjusted, but also avoid the frequent conversion of HVDC converter equipment, making the HVDC tie-line schedule more executable. The joint operation model of cascaded hydropower plants in sending grid is established to meet the operational constraints such as the restricted operating zones of hydropower units, and to ensure the priority of clean hydropower resources and the practicability of the hydropower schedule. The model of conditional control section is established, which can effectively deal with the problem of the coupling between the power limits of section and the number of running units, so as to ensure the safe and stable operation of related sections. Based on the actual data of a cross-regional interconnected power grid, the validity of the model is verified, which can promote the accommodation of clean energy across a wide range of regions, reduce the supply cost of large power system, and alleviate the pressure of safe and stable operation at the receiving system. © 2020 IEEE.

关键词： HVDC power transmission

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A Method to Prevent and control the Interruption Exception of Sampling in Merging Unit

A Method to Prevent and Control the Interruption Exception o...

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2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020

作者： Cao, Rui He, Zhaohui Wu, Tonghua Zhou, Bin Wang, Zhonglang Li, Xindong State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781728191645

As the sampling interruption is the heartbeat of merging unit, its stability is directly related to the accuracy and discreteness of the output SV packets of merging unit. To prevent the output error from merging unit when its sampling interruption is abnormal, this paper proposes crystal frequency monitoring technology, sampling interruption monitoring technology and SV packets timing monitoring technology, forming the prevention and control system of sampling interruption exception of merging unit. The merging unit developed by above technology has the function of early warning and processing for the occasional sampling interruption exception, which improves the reliability of intelligent substation operation. © 2020 IEEE.

关键词： Merging

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Clustering of Photovoltaic Power Stations Based on the Improved AP Clustering Algorithm 49

Clustering of Photovoltaic Power Stations Based on the Impro...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Ding, Yawen Gao, Fei Jiang, Yingwei Hou, Kai Zhang, Donghui Shi, Xuewei College of Smart Energy Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Dept. of Electrical Engineering Shanghai China Nanjing China State Grid Jibei Zhangjiakou Wind and Solar Energy Storage and Transportation New Energy Co. Ltd Zhangjiakou China

ISBN: (纸本)9798350331820

To deal with the problem that uncertain parameter in Affinity Propagation (AP) clustering algorithm affects the clustering results, this paper proposes a clustering method based on AP clustering algorithm and Genetic Algorithm (GA) for Photovoltaic (PV) power stations. Firstly, the modeling of PV power stations is established and clustering index are determined according to the dynamic characteristics of PV power stations. Then the proposed method takes the silhouette index, which is used to evaluate the quality of the clustering result, as the fitness function of GA. The bias parameter placed on the main diagonal of the similarity matrix in the AP clustering algorithm is constantly iterated and updated until obtaining the optimization result. Finally, the studied case verifies the better clustering performance of the proposed method. The 20 PV power stations in the Taoling Substation can be simplified into three groups, reducing the complexity and calculation time for equivalent modeling. © 2023 IEEE.

关键词： Genetic algorithms

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Organizational Description System for Digital Twin of Distribution Network Equipment Based on Object-oriented Equipment Model

Organizational Description System for Digital Twin of Distri...

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Power System and Green Energy Conference (PSGEC)

作者： Jingru Zang Jin Xu keyou Wang Lin Peng Zhimin He Zhujian Ou Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai China State Grid Smart Grid Research Institute Co. Ltd Nanjing China State Grid Nantong Power Supply Company Nantong China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Digital twin is a mathematical model of a physical object that can accept real-time data and evolve in real time. The fundamental technology underlying digital twin technology is modeling and simulation. For a distribution network with complex structure and numerous devices, the construction of digital twins is of great significance for equipment management and system analysis. This paper first introduces the object-oriented modeling method and presents an object-oriented equipment model (OEM). Subsequently, an organizational description system for digital twin of distribution network equipment based on object-oriented equipment model is designed, and the concrete implementation method is introduced. Finally, by comparing with the simulation results of PSCAD software, the accuracy of the electromagnetic transient (EMT) simulation program, one of the applications of the proposed system, is verified.

关键词： Object oriented modeling Simulation Distribution networks Production Real-time systems Mathematical models Spatial databases Software Scheduling Digital twins

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Voltage Sag Evaluation Method and control Strategy for Transmission and Distribution Integration

Voltage Sag Evaluation Method and Control Strategy for Trans...

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smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Junjun Yang Xianyu Zha Wang Tu Yinbao Zhang Helin Sun Delong Zou Xuanyi Fu NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Beijing Electric Power Company Beijing China

The urban power grid is integrated operation of transmission and distribution with close electrical coupling. Considering the interaction between the distributed generation and load characteristics of the distribution network and the disturbance of the transmission network, the accurate evaluation of the voltage sag index based on the full electromagnetic model is of great significance for the safe operation of the power grid and the reliable power supply. In this paper, an online dynamic equivalence method based on the full voltage level of the transmission and distribution network model is proposed, which not only ensures that the key dynamic modes of the system are not lost, but also greatly reduces the scale of the network involved in the calculation. An online assessment and control strategy optimization method of voltage sag that integrates physical mechanism and electromagnetic transient simulation technology is proposed. This method can quickly and accurately give the evaluation index to characterize the voltage sag, in order to screen the area of vulnerability effectively and formulate the control strategy. It provides a basis and improves the real-time and pertinence of power grid voltage sag analysis and control. Through the simulation analysis of an online example of a large urban power grid, the effectiveness and practicability of the proposed method are verified.

关键词： Couplings Analytical models Simulation Power quality Power system dynamics Distribution networks Electromagnetic modeling

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Optimal Phase Switch Device Placement Scheme for Low Voltage Distribution Network Considering Load and Renewable Energy Uncertainty

Optimal Phase Switch Device Placement Scheme for Low Voltage...

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Power and Electrical Technology Conference (APET), Asia

作者： Feng Liang Jianfu Ni Hao Zhu Qingsheng Xiong Zhuofei Yu R&D Department in NARI Technology NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China Smart Grid Key Laboratory of Shaanxi Province Xi’an Jiaotong University Xi’an China

With the increase of single-phase devices and loads in the power system, the three-phase unbalance problem of the low voltage distribution network is more serious. Besides, the intermittency and volatility of renewable energy increase system uncertainty. To address this issue, this paper proposes a phase switch device placement model for the low voltage distribution network with renewable energy sources. The proposed model combines network reconfiguration and phase switch device to mitigate the three-phase unbalance. Considering the uncertainty of loads and renewable energy output, the proposed model is formulated as a mixed integer linear programming model based on stochastic programming, which can be solved by general commercial solvers and find the global optimal solution. The effectiveness of the proposed model is validated on the IEEE 13 node test feeder. The results show that the proposed model can significantly mitigate the three-phase unbalance of low voltage distribution network.

关键词： Renewable energy sources Low voltage Uncertainty Stochastic processes Switches Distribution networks Programming

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A Cooperative Development Path in Distribution Networks with Distinct Ownership Based on System Dynamics

A Cooperative Development Path in Distribution Networks with...

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Power and Electrical Technology Conference (APET), Asia

作者： Jianfu Ni Feng Liang Tianying Yu Qingsheng Xiong Jinda Zhu R&D Department in NARI Technology NARI Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China Smart Grid Key Laboratory of Shaanxi Province Xi’an Jiaotong University Xi’an China

The system dynamics is an effective tool to study the internal evolution mechanism of a system. In this paper, a distinct ownership interaction causal loop diagram of the distribution network is established by sorting out the relationship chain between distributed PV, distributed gas units, distributed energy storage, distribution company and residents. The distinct ownership co-evolution model of distribution network is further established, and the boundary conditions of distributed power supply construction of distribution network are obtained by analyzing the distribution network test case. The effective path to achieve the dual carbon target is verified.

关键词： Analytical models Power supplies System dynamics Power distribution Distribution networks Carbon dioxide Companies

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Corrosion Detection in Transformers Based on Hierarchical Annotation 7th

Corrosion Detection in Transformers Based on Hierarchical An...

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7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Cao, Yong Zhou, Yinian Zhang, Zhao Wu, Wenjun Chen, Xihai Yang, Sha Zhang, Baili School of Computer Science and Engineering Southeast University Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China

ISBN: (纸本)9783030786083

Transformers are prone to metal corrosion due to long-term exposure in the external environment. It is necessary to detect corrosion in time to prolong their service life-time. Detecting metal corrosion based on deep learning is becoming a feasible method at present. However, because of the irregularity and detachability of metal corrosion, traditional annotation approach results in such problems as ambiguity and uncertainty in the annotating process. Thus, a novel hierarchical annotation approach is proposed in this paper. The rationale for this initiative is as follows: traditional annotation approach has been used to annotate a large area covering the range of corrosion, as long as the area is visually continuous and adjacent to the corrosion that cannot be clearly divided. The annotation result is recorded as training set A;secondly, in the annotating boxes from the first step, the areas with obvious and relatively independent features are re-annotated to form the second level of nested annotation. The annotation result is recorded as training set B. Finally, Faster R-CNN and YOLOv5 models were trained by A, B training sets respectively in the experiment. It can be concluded that the detection performance with hierarchical annotation approach proved better than traditional annotation approach for Faster R-CNN and YOLOv5 models. © 2021, Springer Nature Switzerland AG.

关键词： Object detection

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Research on Coordination Strategy of Emergency and Correction control under High Proportion of New Energy Connected to Power grid

Research on Coordination Strategy of Emergency and Correctio...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Fusuo Liu Hui Huang Haijun Chang Xuelian Wu Chao Wang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation/State Grid Electric Power Research Institute Nanjin China

With the large-scale access of new energy sources, the operation mode and the uncertainty factors of the power grid increase, meanwhile the short-term power shock has an increasing impact, which exacerbates the complexity of the system frequency response characteristics and the difference in space-time distribution. Based on the analysis of principles and adaptability of emergency control and correction control, this paper comprehensively considers the operation mode and new energy access, and proposes a centralized control decision-making method based on model and trajectory driving from the perspective of global frequency control. The method also considers the continuously adjustable control resources and low voltage ride through of new energy. Finally, the practicality of the proposed method is verified based on the actual power grid simulation.

关键词： Low voltage Analytical models Adaptation models Uncertainty Decision making Power grids Trajectory

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