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SSRN 2023年

作者： Jiang, Yaoxi Shu, Hongchun Zhang, Junjie State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

Modular multilevel converters (MMC) as a key technology for future power grids is rapidly developing. The failure rate of sub-module (SM) capacitors is only lower than that of power devices in MMC, so accurate evaluation of the reliability of capacitors is crucial for MMC. Both the increase of equivalent series resistance (ESR) and decrease of equivalent series capacitance (ESC) are features for capacitor deteriorating. If the value of ESC drops to a limited value, it indicates that the end of its lifespan and the capacitor must be replaced. Most contemporary research work only focus on ESC and ignore ESR. This article considering the characteristics of both ESC and ESR, proposes a method for monitoring the status of SM capacitors based on machine learning algorithm: local outlier factor (LOF). By utilizing the existing SM switching function and capacitor voltage signals within a fundamental frequency cycle in the control system, the condition of capacitors in each SM can be effectively monitored. The monitoring program can be packaged and embedded into the control system without requiring any additional hardware or control changes, significantly reducing complexity and computational burden. The proposed method is verified by the hybrid MMC model on Matlab/Simulink. © 2023, The Authors. All rights reserved.

关键词： MATLAB

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Study on the corresponding relationship between critical points of P-V Curve and V-Q curve of simple thevenin equivalent system 1

Study on the corresponding relationship between critical poi...

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1st IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2020

作者： Li, Xuan Li, Zhaowei Guan, Linlin Wu, Xuelian Mei, Yan Li, Jun State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China

ISBN: (纸本)9781728196596

With the further increase in power demand for highly concentrated load centers and the gradual formation of a power system with a high proportion of new energy sources, China will face severe risk of voltage instability. In this paper, firstly, the load bus voltage equation of simple Thevenin equivalent system is derived, and then the P-V and V-Q curves are obtained respectively. Secondly, the mutual restriction relationship between active and reactive power of load is discussed when there is a real value solution to the voltage. Finally, the relationship between the voltage of critical points of the P-V curves and the reactive power of the load, and the relationship between the voltage of critical points of the V-Q curves and the active power of the load are deduced respectively. The relationship of one-to-one correspondence between critical points of P-V curves and critical points of V-Q curves is proved according to the mutual restriction between active power and reactive power of load and monotonicity of critical voltage and load power function. © 2020 IEEE.

关键词： Reactive power

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Real Time Monitoring Method of Comprehensive Energy Consumption Based on Data Mining Algorithm

Real Time Monitoring Method of Comprehensive Energy Consumpt...

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作者： Qian, Gang Tang, Chenghong Meng, Yao Qi, Xiaomin Wang, Jingtao Zhou, Jing State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312099 China State Grid Electric Power Research Institute Nanjing211106 China Nari Technology Development Limited Company Nanjing211106 China State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211106 China China Electric Power Planning and Engineering Institute Beijing100120 China Beijing Nari Digital Technology Co. Ltd. Beijing100085 China

With the expansion of data centers, total consumption is growing exponentially. The center is faced with problems such as reducing power consumption, reducing costs and improving resource utilization. Reducing energy costs through monitoring is an important means of energy conservation in data centers. In recent years, more and more real-time energy consumption data are stored on the energy consumption management platform. There is a wealth of knowledge hidden in the energy consumption data in recent years. A large amount of data simplifies the traditional methods, and data mining methods have achieved good results in many fields. Therefore, it is of great significance to study a new energy consumption monitoring system and introduce data mining method into the system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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Distributionally Robust Chance-Constrained Optimization Dispatch Method for New Power Systems with Virtual Energy Storage

Distributionally Robust Chance-Constrained Optimization Disp...

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Power System and Green Energy Conference (PSGEC)

作者： Xiaowei Ma Xiaoning Kang Min Gao Jiaqi Song Jinjun Lu Yuhao Gu School of Electrical Engineering Xi’an Jiaotong University Xi’an China Northwest Branch of State Grid Corporation of China Xi’an China NARI Group Co. Ltd. (State Key Laboratory of Smart Grid Protection and Control) Nanjing China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Addressing the issue of renewable energy integration caused by large-scale wind power grid connection, a novel electric power system distributed robust joint chance-constrained (DRJCC) optimization dispatch model incorporating captive power plants with virtual energy storage (VES), wind, thermal, and hydropower units is proposed. Initially, considering that high-energy-consuming enterprises' self-provided power plants (SPPPs) can accept the unified dispatch of the public grid, three operational modes for the SPPPs as VES participating in the main grid interaction and their call costs are presented, and a two-stage stochastic optimization model for the new power system including VES is constructed. Subsequently, a data-driven DRJCC approach is utilized to address the uncertainty in wind output, constructing a fuzzy set of probability distributions for uncertain variables based on the Wasserstein distance, and expanding the original stochastic optimization model to a W-DRJCC optimization model. Further, by applying strong duality theory, Bonferroni inequality, and Conditional Value-at-Risk (CVaR) approximation, the proposed distributed robust model is transformed into a mixed-integer linear programming problem for solution. Finally, case analyses on an improved RTS-24 power system demonstrate that the proposed method can balance economic efficiency and robustness, offering significant insights for the construction of operational modes for enterprises' SPPPs to participate in grid interaction.

关键词： Fuzzy sets Costs Optimization models Electricity Stochastic processes Hydroelectric power generation Robustness Power systems Optimization Energy storage

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Wind-Storage Coordinated control Strategy for Inertia Enhancement of High Ratio Renewable Energy Power Systems

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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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Maximum Capacity Assessment for Multi-paralleled grid-connected Inverters using Global-Admittance based Harmonic Stability Analysis

Maximum Capacity Assessment for Multi-paralleled Grid-connec...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Yang, Ming Liu, Fusuo Wang, Yu Cao, Wu Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (纸本)9781665414395

With the increasing demand for the renewable energy, the stability of the multi-paralleled grid-connected inverters is the important factor for evaluation the capacity of the inverters connected to power grid. In this paper the maximum capacity assessment for multi-paralleled grid-connected inverters using global-admittance based harmonic stability analysis is proposed. The stability analysis method with global admittance has clear physical concept and is convenient for real-time analysis and calculation. The global admittance method is illustrated first. The inverters are sorted by the capacity. The inverters sequence can be divided into two groups based on the stable critical point obtained by the global admittance method. The group with large capacity is taken as a unit. The stability of the combinations formed by this unit and other inverters in the other group is analyzed further. So the maximum capacity of the grid-connected inverters can be assessed. The application example is used to illustrate and verify the proposed method in this paper. © 2021 IEEE.

关键词： Stability

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Partition control Method of Power Balance of Multiͬ Provincial grid with High Penetration of Renewable Energy 10

Partition Control Method of Power Balance of Multiͬ Provinc...

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10th Renewable Power Generation Conference, RPG 2021

作者： Leng, Yue Yang, Chunxiang Chang, Li Zhang, Yantao Wang, Zhiqi Nari Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9781839536069

With the increasing penetration of renewable energy in the power grid, coordinated operation of multi-provincial grid is an effective measure to improve the renewable energy accommodation capacity of power grid. It is difficult to guarantee that the active power of tie lines is equal to their dispatching plan by calculating the power flow distribution in the whole network. Therefore, a partition control method of power balance of multiͬ provincial grid with high penetration of renewable energy is proposed. Due to multiple load deviation adjustments and AC power flow calculation of each province, the active power of tie lines can be ensured to be equal to their dispatching plan. The proposed method is composed of two sectors: distribution method of load deviation of each province with a high proportion of renewable energy, in which the balanced relationship of power generation and consumption of each province is established;accurate estimation method of transmission loss of each province under the future operation mode based on prediction and correction, in which the calculation error of unbalance caused by the estimation error of transmission loss can be further reduced. A case study based on an actual multiͬ provincial grid demonstrates the effectiveness of the proposed method. © The Institution of Engineering and Technology.

关键词： Electric load flow

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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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Stability control System for Power grid Security Defense Level Improvement

Stability Control System for Power Grid Security Defense Lev...

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

作者： Jingjing Ruan Peng Chen Junnan Chen Xiaotong Xu Jian Zhang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China

The rapid development of UHVDC, new energy and power market enhances significantly the uncertainty of power grid. The control strategy of stability control system calculated offline cannot cover the complex and changeable power grid operation situation. A hierarchical closed-loop stability control system is proposed to meet the stability control requirements under multiple and cascading faults, including dispatching center station, coordination control master station and regional control master station The dispatching center integrates natural disaster information to generate high-risk faults and searches online control strategy based on controllable resources acquired by coordination control master station. Coordination control master station stores control strategy of high-risk faults, identify high-risk faults in different places, and issue the control strategy. Regional control master station is responsible for the implementation of high-risk faults control strategy. The analysis results demonstrate that the system can improve the security defense level of power grid. The proposed method is proved to be fast and effective through the analysis of a practical power grid example.

关键词： Uncertainty Power system stability control systems Search problems Power grids Stability analysis Dispatching

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Failure Mode Risk Analysis of DC Charger Based on Cloud Model and TOPSIS

Failure Mode Risk Analysis of DC Charger Based on Cloud Mode...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Li Yuan Tan Wen Yan Su Zichao Yi Yu Wang State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China

This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the cloud model theory. And applied to solve the DC charger failure mode risk assessment, analysis and determination of DC charger key failure mode and failure mechanism. Firstly, the expert assessment information of DC charger fault mode was converted into a cloud model, and then the risk assessment index and expert weight of risk assessment were calculated. Finally, the TOPSIS method was used to determine the risk priority of the fault mode, and the failure mechanism of the high-priority fault mode was analyzed to determine the failure physical model.

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