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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

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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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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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Discontinuous Modulation and control Strategy for Single-Phase LC Inverter

Discontinuous Modulation and Control Strategy for Single-Pha...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Xu, Wei Song, Shengli Long, Xuehan Miao, Yiru Tang, Mengyang Chongqing Sub-Bureau of Southwest China Regional Air Traffic Management Bureau CAAC Chongqing401120 China Chongqing Airport Group Company Chongqing400044 China State Key Laboratory of Power Transmission Equipment Technology Chongqing University Chongqing400044 China Key Laboratory of Smart Grid and Intelligent Control in Nanchong Southwest Petroleum University Nanchong637001 China

ISBN: (纸本)9789819620791

In order to reduce the switching loss of the single-phase inverter, improve the efficiency and power density, a discontinuous PWM modulation strategy based on the unified modulation method is proposed for the single-phase full bridge LC inverter. The differential mode modulation signal between a-phase and b-phase is constant, the common mode modulation signal is adjusted and injected into the modulation signals of a-phase and b-phase, the switching devices of a-phase and b-phase are in inactive state alternating, so the switching loss can be reduced. Then, the mathematical model of the single-phase full bridge LC inverter is established, the parameter design method of the single loop proportional resonant controller is studied according to the amplitude-frequency characteristic curve, the output voltage can track the reference signal without error under the disturbances of input voltage and load. Finally, the experiment is carried out, which shows that the switching loss can be reduced by the proposed discontinuous PWM modulation, and high quality and precision voltage output can be obtained by the single loop proportional resonant controller. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Pulse width modulation

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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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Lifetime Assessment of SiC Inverter Under Different control Strategies 17th

Lifetime Assessment of SiC Inverter Under Different Control ...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Tang, Mengyang Yang, Xu Shen, Haiyun Peng, Wenshu Key Laboratory of Smart Grid and Intelligent Control of Nanchong Southwest Petroleum University Nanchong637001 China Tianjin Branch of China National Offshore Oil Corporation Ltd. Tianjin300456 China State Grid Yichun Power Supply Company Jiangxi Yichun330077 China

ISBN: (纸本)9789819904501

The electric vehicle inverter is the core component of the electric vehicle and has very high requirements on reliability. Silicon carbide (SiC) devices have the advantages of high temperature resistance, high voltage resistance, and low loss, and have been widely used in automotive inverters. Lifetime assessment is an important means to improve the reliability of electric vehicle inverters. It is of great significance to evaluate the lifetime of SiC devices for automotive inverters. In this paper, the vehicle inverter using SiC device is taken as the research object, and the lifetime of SiC device and its influencing factors under vector control and model prediction control are evaluated and studied respectively. The electrothermal simulation model of the electric drive system of electric vehicles under actual working conditions is constructed in the Matlab and Plecs co-simulation platform. The following two control strategies are compared and analyzed in detail on the influence of junction temperature and lifetime of SiC devices, which provides an analysis basis for the assessment of the control performance and thermal performance of electric vehicle SiC inverters under the selection of motor control strategies. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Silicon carbide

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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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An Intelligent Multi-Source Data Clustering and Analysis Method for AC/DC Hybrid Power grid Planning with Increased Complexity 6

An Intelligent Multi-Source Data Clustering and Analysis Met...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Lan, Tu Zhou, Aihua Diao, Ruisheng Sun, Fangyuan Zeng, Ruiyuan Shen, Xiaofeng Huang, Chenhong Zheng, Zhen ZJU-UIUC Institute Zhejiang University Zhejiang Haining314400 China State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Jiangsu Nanjing210003 China ZJU-UIUC Institute Zhejiang University State Key Laboratory of Clean Energy Utilization Zhejiang Haining314400 China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9798350346671

In order to better analyze the response characteristics of an AC/DC hybrid power grid with increased complexity following various types of disturbances, this paper proposes an intelligent method for clustering dynamic responses of multi-source data obtained from actual measurements or high-fidelity simulators. Base cases for AC/DC hybrid power grid planning students are created first, and a list of high-impact contingencies is searched using a graph algorithm. Then, the electromechanical-electromagnetic hybrid simulation method is adopted to create multi-source simulation data in terms of dynamic voltage, frequency, etc. An unsupervised learning algorithm and cluster analysis are then conducted to extract key features of dynamic response characteristics of the AC/DC hybrid power grid and create specific cluster labels. Advanced analysis, e.g., fast evaluation of risks from multi-source steady-state data, can then be enabled for further analysis. The proposed approach's effectiveness is verified on the actual AC/DC power grid model in East China. © 2023 IEEE.

关键词： Dynamic 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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