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2023 IEEE PELS Students and Young Professionals Symposium, SYPS 2023

作者： Zhang, Kai Liu, Hanyu Sun, Kai Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing10084 China

ISBN: (纸本)9798350307832

LCC converter has the characteristics of both series resonance and parallel resonance, which is often used as the front stage of high voltage DC power supply. A three-stage boosting circuit using LCC converter, high-frequency transformer and voltage multiplier circuit is applied to a high-voltage source. In order to realize the design of core resonant cavity parameters, firstly, the working process of LCC converter in continuous current mode (CCM) is solved by using the operation mode analysis method. On this basis, considering the integrated design of stray parameters such as stray capacitance and leakage inductance of high-frequency transformer, the resonant cavity design flow of LCC converter is given. Finally, an experimental platform is built to test the LCC converter and the whole boosting circuit, and the voltage transmission ratio of 20V/10kV is verified. © 2023 IEEE.

关键词： Cavity resonators

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Research on 220kV Spare power Automatic Switching Equipment Standardized Application of Local functions Based on Real-Time simulation∗ 5

Research on 220kV Spare Power Automatic Switching Equipment ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Huang, Zhida Wu, Wencong Cai, Haiqing Zhu, Yihua Huang, Libin Chang, Dongxu State Key Laboratory of Hvdc Electric Power Research Institute Csg National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Currently, the power grid is carrying out the standardized design and application of 220kV spare power automatic switching equipment. It is more difficult to carry out the on-site standby automatic switching function test in the actual power grid. The power supply department urgently needs a simulation environment that can truly simulate the actual power grid to support the development of this functional test. Real-time simulation has the ability to carry out on-site automatic transfer function tests in terms of technical feasibility. To verify its effectiveness, this paper built a standardized closed-loop test system for 220kV spare power automatic switching equipment based on real-time simulation. A number of tests have been carried out for the automatic switch-on function of on-site equipment, and the device action events on the actual site have been inverted. The test results show that the established RTDS real-time simulation model has the ability to simulate the actual 220kV power grid. It has been verified that the action logic of the standby automatic input device in various modes meets the requirements of the standard specification, which strongly supports the standardized application of the 220kV spare power automatic switching equipment function of the power grid. © 2022 IEEE.

关键词： Switching

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Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting

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CSEE Journal of power and Energy systems 2023年第5期9卷 1980-1984页

作者： Kangping Li Yuqing Wang Ning Zhang Fei Wang Chunyi Huang the College of Smart Energy Shanghai Jiao Tong UniversityShanghai 200240China the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China the Department of Electrical Engineering North China Electric Power UniversityBaoding 071003China the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) Beijing 102206China the Hebei Key Laboratory of Distributed Energy Storage and Microgrid(North China Electric Power University) Baoding 071003China the Key Laboratory of Control of Power Transmission and Conversion Ministry of Education(Shanghai Jiao Tong University)Shanghai 200240China

Monthly electricity consumption forecasting(ECF)plays an important role in power system operation and electricity market *** popularity of smart meters enables collection of fine-grained load data,which provides an opportunity for improvement of monthly ECF *** this letter,a spatio-temporal granularity co-optimization-based monthly ECF framework is proposed,which aims to find an optimal combination of temporal granularity and spatial clusters to improve monthly ECF *** framework is formulated as a nested bi-layer optimization problem.A grid search method combined with a greedy clustering method is proposed to solve the optimization *** of the proposed method has been verified on a real smart meter dataset.

关键词： Electricity consumption forecasting Greedy clustering Grid searching Spatiotemporal

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Dynamic Security Evaluation Method for power systems Considering Cascading Failures 7

Dynamic Security Evaluation Method for Power Systems Conside...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Liu, Ren Xu, Xingye Du, Wei Xiahou, Kaishun Zhu, Yihua Chang, Dongxu Guo, Hengdao Electric Power Research Institute of China Southern Power Grid Csg Key Laboratory For Power System Simulation Guangzhou China School of Electric Power Engineering South China University of Technology Guangzhou China Electric Power Research Institute of China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Intelligent Operation and Control For New Energy Power System Guangdong Provincial Key Laboratory of China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350345094

With the increasing level of informatization and interconnection in the electric power system, the risk of external attacks on power systems is increasing. In response to the drawbacks of traditional static security assessment methods, this paper establishes two security metrics, which are voltage and power flow amplitude deviation security metric and power flow entropy security metric. Based on these security metrics, a dynamic security evaluation model that considers cascading failure is proposed. simulation results demonstrate that the proposed security metrics can effectively reflect the security of cascading failure propagation, thereby providing valuable insights for decision-making by power system operators. © 2023 IEEE.

关键词： Informatization

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Two-stage Robust Configuration and Optimal Operation Strategy of HES system on Generation Side 3

Two-stage Robust Configuration and Optimal Operation Strateg...

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3rd International Conference on Energy Engineering and power systems, EEPS 2023

作者： Zhai, Baoyu Chen, Guanchu Zhang, Long Liang, Shuchao Xu, Zhi State Grid Xinjiang Electric Power Co. Ltd Electric Power Science Research Institute Urumqi830001 China Xinjiang Power System Whole Process Simulation Key Laboratory Urumqi830001 China

ISBN: (纸本)9798350313857

This paper introduces a two-stage approach to improve the cost-effectiveness and operational flexibility of renewable energy-based power system with energy storage. The focus is on power generation-side hybrid energy storage. In the first stage, historical data of renewable energy generation is used to establish an uncertainty ensemble, capturing the range of power output variations. This information is then utilized to create a robust configuration model for each type of energy storage unit in the hybrid system. In the second stage, the optimal configuration scheme obtained in the first stage is refined by imposing intra-day scale constraints. This results in the determination of the robust configuration for each energy storage unit, considering investment costs and addressing supply and grid connection requirements. Furthermore, an optimal operation model is developed to minimize net load volatility while ensuring energy supply and grid connection requirements are met. This approach significantly improves the system's grid-friendliness. To demonstrate the effectiveness of the proposed configuration model and operation strategy, an example using data from Xinjiang Province wind farm, its equipped energy storage, and load is presented. This example serves as evidence of the competitiveness and practicality of the approach presented in this paper. © 2023 IEEE.

关键词： Empirical mode decomposition

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Voltage control for Black-Start Based on Energy Storage Station and Wind Farm 4

Voltage Control for Black-Start Based on Energy Storage Stat...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Zhu, Yuanzhen Wei, Xinyu Li, Tianshu Chen, Yiheng Zhou, Ning Fang, Qiao Zhao, Kang Sun, Runjia State Grid Shandong Electric Power Company Electric Power Science Research Institute Shandong Smart Grid Technology Innovation Center Jinan China Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798331532765

Energy storage station (ESS) and wind farm (WF) have the potential to serve as a black-start sources to accelerate the power system restoration after blackout. However, the voltage security problem when start the auxiliary machines of power plants limit their reliability as black-start sources. A voltage control method is proposed for ESS and WF combined black-start sources to improve the voltage security during black-start. Firstly, the black-start process based on grid-forming ESS and WF is presented, and the voltage control framework is established. Then, a predictive control method considering the impact of active power on voltage variations is proposed, in which different optimization modes are established to obtain the active and reactive control sequences for WF and ESS. Finally, black-start simulation with Matlab/Simulink demonstrate the proposed method can improve the voltage security level when starting auxiliary machines of power plants. © 2024 IEEE.

关键词： Predictive control systems

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Correction of Time-varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters

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CSEE Journal of power and Energy systems 2023年第1期9卷 315-325页

作者： Ancheng Xue He Kong Feiyang Xu Junbo Zhao Naichao Chang Joe H.Chow Haiyan Hong State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Department of Electrical and Computer Engineering University of ConnecticutStorrs06268USA National Electric Power Dispatching and Control Center Beijing 100031China Department of Electrical Computerand Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNY 12180USA

Phasor measurement units(PMUs)provide useful data for real-time monitoring of the smart ***,there may be time-varying deviation in phase angle differences(PADs)between both ends of the transmission line(TL),which may deteriorate application performance based on *** address that,this paper proposes two robust methods of correcting time-varying PAD deviation with unknown parameters of TL(ParTL).First,the phenomena of time-varying PAD deviation observed from field PMU data are *** general formulations for PAD estimation are then *** simplify the formulations,estimation of PADs is converted into the optimal problem with a single ParTL as the variable,yielding a linear estimation of *** latter is used by second-order Taylor series expansion to estimate PADs *** reduce the impact of possible abnormal amplitude data in field data,the IGG(Institute of Geodesy&Geophysics,Chinese Academy of Sciences)weighting function is *** using both simulated and field data verify the effectiveness and robustness of the proposed methods.

关键词： Correction line parameters parameter identification phasor measurement time-varying phase angle difference deviation

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Online Optimization in power systems With High Penetration of Renewable Generation:Advances and Prospects

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 839-858页

作者： Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power System and the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Institute of High Performance Computing(IHPC) Agency for Science Technology and Research(A*STAR)Singapore 138632Singapore

Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable *** increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization ***,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical *** paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques *** particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period ***,we recommend some potential future directions for online optimization in the power systems domain.

关键词： optimization Lyapunov optimization online convex optimization online optimization optimization-guided control

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Adaptive Identification of power system Operational states Based on Spatio-Temporal Dynamic Graph Neural Networks 4

Adaptive Identification of Power System Operational States B...

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4th IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Zhang, Qingqing Ma, Qinfeng Liu, Mingshun Zhang, Jie Zhu, Yihua Liang, Zhuohang An, Su Pu, Qingxin Dai, Jiang Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou510663 China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China

ISBN: (纸本)9798350361643

The state identification of the operational status of power systems plays a crucial role in ensuring the safety, efficiency, and reliable operation of power systems, forming the foundation for the management and control of power system operations. In the practical operation of power systems, the duration of fault states is short, while the system remains in a safe and stable state for a significantly longer period, leading to an imbalance in the training samples available. This imbalance can cause traditional machine learning classification algorithms to favor the majority categories of power system operational states, resulting in inaccurate evaluation metrics and reduced model generalization capability. To address this issue, this paper introduces a spatiotemporal dynamic graph neural network model for the identification of power system operational states. By incorporating class cost coefficients, focal loss, and cross-entropy in a joint loss function, the model adaptively focuses on the less represented operational state categories during training, improving classification accuracy on imbalanced and challenging samples. Moreover, the integration of temporal information and spatial topology information within the graph neural network enhances the model's robustness and generalization ability in state identification. Experimental results on the standard IEEE 68-bus system demonstrate that, compared to traditional machine learning methods, the proposed joint loss with the spatiotemporal dynamic graph neural network model achieves higher accuracy in the identification of power system operational states, significantly improving classification performance on imbalanced samples with a 4.8% increase in F1-score, reaching a peak F1-score of 98.6%. © 2024 IEEE.

关键词： Graph neural networks

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Review of Black Start on New power system Based on Energy Storage Technology

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Energy Engineering 2023年第12期120卷 2857-2878页

作者： Jin Fan Litao Niu Cuiping Li Gang Zhang He Li Yiming Wang Junhui Li Qinglong Song Jiacheng Sun Jianglong Pan Fangfang Lai School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’an710061China Power Plant Commissioning Department Xi’an Thermal Power Research Institute Co.Ltd.Xi’an710054China Key Laboratory of Modern Power System Simulation Control and Green Power New Technology of the Ministry of Education Northeast Electric Power UniversityJilin132012China Quality&Safety Department Huaneng Xiapu Nuclear Power Co.Ltd.Ningde352000China

With the continuous development of new energy generation technology and the increasingly complex power grid environment,the traditional black start scheme cannot meet the requirements of today’s power grid in order to ensure the stable operation of the power system can be restored quickly in the face of large power outages,so a more complete black start scheme needs to be developed to cope with the new power *** the development of energy storage technology,the limitations of the traditional black-start scheme can be solved by new energy farms with energy storage ***,this paper investigates the problems faced by black-start,the key technologies of energy storage assisted new energy black-start,and introduces the research related to new energy black-start technology to provide reference for future research and application of new energy black-start.

关键词： New energy black start energy storage rapid recovery

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