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Sustainable Power and Energy Conference (iSPEC)

作者： Hao Jiang Lixiong Xu Xiaodan Cui Yang Liu Jialong Wu Jiaqi Feng School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

Large-scale grid-connection of wind power has a profound impact on the characteristics of power grids. To study the mechanism of the influence of voltage sudden changes on the transient response characteristics of double-fed wind fields is the basis of ensuring the safe and stable operation of power grids. In this paper, the expression of rotor current under symmetrical voltage sudden changes is derived, and the related factors affecting the transient response characteristics of rotor current are analyzed. Then, a detailed DFIG model is built in PSCAD, and a variety of scenarios are simulated to verify the accuracy of the proposed doubly-fed fan’s transient response characteristics under symmetrical voltage sudden changes.

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Overview of DC transmission line fault analytical methods and single-ended protection 4

Overview of DC transmission line fault analytical methods an...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Pu, Hongfei Li, Xindong Wu, Tonghua Yao, Gang Nari Group Corporation State Grid Electric Power Research Institute Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781728171494

DC transmission technology, which plays an important role in connecting AC grids, can transmit power asynchronously under long-distance and large-capacity conditions. protection devices and control system of the DC transmission system are quickly put into use after the information of the first traveling wave caused by faults of DC lines having been detected. Therefore, the current HVDC transmission line mainly adopts single-ended protection based on first traveling wave information as main protection for DC lines and such protection is not affected by the control strategy. But in the fault transient stage, changes of electrical quantities of DC transmission lines will show nonlinear characteristics because of the control strategy. At present, the analytical method of fault characteristics in the transient stage is not perfect and the rapid coordination of control and protection has not been realized. This paper presents an overall introduction to the research statuses of fault analytical methods and single-ended protection principles of DC transmission lines. First, the fault characteristics of LCC- based DC transmission lines and VSC-based DC transmission lines are compared. Second, the current research statuses of HVDC transmission line analytical models and fault transient analytical methods are analyzed and the shortcomings of current analytical methods are listed. Third, the current single-ended protection principles of DC transmission lines are classified, and then the problems and valuable research directions in the process of studying single-ended protection principles based on the coordination of control and protection are listed. Finally, the outlook for the rapid coordination of control and protection of DC transmission lines is determined. © 2021 IEEE.

关键词： HVDC power transmission

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Rapid Generation of DFIG Farm Equivalent Model Evaluation Scenario Based on Deep Belief Network

Rapid Generation of DFIG Farm Equivalent Model Evaluation Sc...

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Power and Energy Engineering (ICPEE), International Conference on

作者： Hao Jiang Lixiong Xu Xiaodan Cui Jialong Wu Jiaqi Feng Yang Liu School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

The protection link within the wind farm is the key link that affects the transient characteristics of the wind farm, and also has the greatest impact on the complexity of scene construction. Therefore, it is urgent to study the method that can quickly build the chopper circuit and crowbar circuit action scene during the evaluation of the equivalent model of the wind farm. In this paper, a fast generation method of wind farm protection state scenarios based on Deep Belief Network (DBN) is proposed. Firstly, characteristic quantities that affect the protection action of a single fan in a wind farm are extracted, such as terminal voltage drop (the junction voltage of a single fan is equal to the terminal voltage), wind speed, etc. Simulation is carried out on a single fan in scenarios with different characteristic quantities, and records of characteristic quantities and protection actions are put into the DBN model for training as a sample set. Through training, a DBN model which can directly and accurately generate the fan protection state according to the characteristic quantity is obtained. Then, the topological structure and line impedance information of the wind farm are obtained, and the relationship between the voltage drop at the junction point and the voltage drop at the end of each fan in the wind farm is obtained. Combined with the voltage drop at the end of each fan in the wind farm and the deep belief network model, the fan protection action scene in the wind farm can be quickly generated for equivalent model evaluation. Finally, a numerical example is given to verify the effectiveness of the proposed method.

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Multi-dimensional Quantitative Evaluation of Fault Transient Characteristic Accuracy of DFIG Farm Equivalent Model

Multi-dimensional Quantitative Evaluation of Fault Transient...

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Electrical Engineering and Control Technologies (CEECT), Conference on

作者： Hao Jiang Lixiong Xu Xiaodan Cui Jialong Wu Jiaqi Feng Zixuan Zheng School of Electrical Engineering Sichuan University Chengdu China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Jiangsu

An accurate wind farm model is a crucial prerequisite to ensure that the simulation results of the power system containing wind power align with reality. Hence, it is imperative to establish a system for evaluating the accuracy of wind farm models. This paper examines the fault response characteristics of wind turbines and proposes a multi-dimensional quantitative index system for assessing the equivalency of wind farm models. The entire process can be segmented into two stages: the transient period immediately following the fault occurrence and the subsequent steady-state phase. The evaluation indexes for assessing the accuracy of wind farm models are voltage dynamic response, active power dynamic response, and reactive power dynamic response. These indexes are formulated to evaluate the equivalency of wind farm models across various stages.

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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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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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Probabilistic Power Flow Optimization of Source-Network-Load-Storage in Ac/Dc Systems Based on SOC Characteristics

SSRN

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SSRN 2023年

作者： Shu, Hongchun Dai, Yue Liao, Mengli State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

As the uncertainty of both sources and loads in the power system increases, energy storage systems (ESS) as regulation resources has been widely used, and quantitative power flow optimization calculations are no longer suitable for new power system. In this paper, an uncertain power and load model is constructed, which utilizes probability attributes to convert variables into quantitative variables and takes into account the uncertainty correction of users' response to the time of use electricity price on the load side. Build an ESS model considering state of Charge (SOC), and divide the operating states. Based on the source-load-energy storage configuration, a power flow model for the AC/DC system containing VSC converters is established. Using the minimum economic cost and minimum loss of the system, as well as the minimum voltage deviation of the line, as evaluation indicators, a penalty function is introduced to establish a multi-objective optimization model for source-generation-transmission-load-energy storage. Conduct extensive simulation calculations on the probability optimized power flow model of the improved IEEE 30 node system. The results show that after the statistical model of source network load storage is optimized, the evaluation index is improved, and the capacity change and state switching of ESS are optimized. © 2023, The Authors. All rights reserved.

关键词： Electric power transmission

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Local Outlier Factor Based Condition Monitoring for Sub-Module Capacitors in Modular Multilevel Converters

SSRN

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

SSRN

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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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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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