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20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Zheng, Xuemei Tang, Longfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Jilin China School of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

Because the antenna is an important passive component in the RF front-end of mobile communication, some studies have found that the combination of EBG and antenna can effectively improve the performance of the antenna. In this paper, a dual band microstrip antenna based on EBG structure is designed, which improves the gain of the antenna, and the resonant frequencies are 2.4 GHz and 3.5 GHz. After simulation, the return loss at two resonant frequencies is less than-19.5 dB, which basically meets the design requirements. © 2022 IEEE.

关键词： Natural frequencies

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Combined Optimal Dispatch of Thermal power Generators and Energy Storage Considering Thermal power Deep Peak Clipping and Wind Energy Emission Grading Punishment

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Energy Engineering 2024年第4期121卷 869-893页

作者： Junhui Li Xuanzhong Luo Changxing Ge Cuiping Li Changrong Wang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityMinistry of EducationJilin132012China Songyuan Power Supply Company State Grid Jilin Electric Power Co.Ltd.Songyuan138000China Changchun Power Supply Company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Jilin Electric Power Co. Ltd.Jilin Songhuajiang Thermal Power Generation Co.Ltd.Jilin132012China

Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into ***,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy control is designed and introduced,and the optimal grid-connected power of wind energy is determined as a result of minimizing the peak cutting cost of the ***,considering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of ***,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and economy of system peak clipping.

关键词： BESS wind energy deep peak clipping virtual peak clipping wind energy emission grading punishment

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Coordinated Optimal Configuration Method of Wind power Load Shedding Rate and Energy Storage Aiming at Active Frequency Support 7

Coordinated Optimal Configuration Method of Wind Power Load ...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Yang, Xiuyu Peng, Jian Liu, Yuxuan Miu, Gang Zhang, Guochao Zhu, Zhengyin Northeast Electric Power University Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology of Ministry of Education Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China State Grid Jilin Power Supply Company Jilin China

ISBN: (纸本)9798350359558

With the increase of renewable energy, the system frequency modulation ability is insufficient, and the relevant departments require that renewable energy should have the active support ability of power system frequency change. Long-term active load shedding to achieve frequency support will cause power generation loss and economic damage;if the maximum output of the wind turbine is taken as the active support task by the energy storage, the amount of energy storage required is large. Therefore, this paper proposes a coordinated optimal allocation method of wind power load shedding rate and energy storage capacity with the goal of frequency active support. From the economic point of view, the optimal allocation relationship between wind power load shedding rate and energy storage capacity allocation is analyzed to find the optimal setting of load shedding rate and energy storage capacity. © 2024 IEEE.

关键词： Frequency modulation

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Analysis and suppression of low-frequency oscillation of photovoltaic cells with inertia control 6

Analysis and suppression of low-frequency oscillation of pho...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Wang, Zhenyang Yan, Gangui Zhao, Yue Peng, Jili Wang, Dazhong Ren, Shuang Northeast Electric Power University Key Laboratory of Modern Power System Simulation Control and Green Power Technology Dept. Ministry of Education Jilin China State Grid Hunan Power Supply Dept. State Grid Hengyang Power Supply Branch Hunan China

ISBN: (纸本)9798350346671

Aiming at the problem of low-frequency oscillation when photovoltaic power generation is connected to weak AC system, a linearization model of photovoltaic power generation is established, which ignores current inner loop and considers inertia control. The influence of various leading factors on low-frequency oscillation modes of photovoltaic power generation is analyzed. Finally, a low-frequency oscillation stabilizer (SSDC) is designed according to the phase compensation method to suppress the low-frequency oscillation of power system. The results show that the increase of input power of DC capacitor and the decrease of proportional control parameters of DC voltage loop and PLL will lead to the decrease of system damping and stability. Finally, the electromagnetic simulation model of weak AC system with photovoltaic power generation is built on PSCAD/EMTDC platform, which verifies the validity of eigenvalue analysis results and SSDC. © 2023 IEEE.

关键词： simulation platform

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Design and Implementation of a Cross-Platform Real-Time power system simulation Software for the New power system 4

Design and Implementation of a Cross-Platform Real-Time Powe...

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

作者： Huang, Ying Lu, Yuanhong Zhang, Jingyue Zhan, Jie Zhao, Yanjun Hu, Yufeng China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangzhou CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou510663 China

ISBN: (纸本)9798331532765

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems. © 2024 IEEE.

关键词： power systems computer aided design

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Modeling of Direct Ac/Ac Hybrid Distribution Transformer Based on Relaxed Two Port Network Theory

SSRN

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SSRN 2024年

作者： Wang, Yibo Zhang, Xinyi Liu, Chuang Cai, Guowei Liu, Yu Liu, Kaipu Wang, Yuan Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Northeast Electric Power University Jilin132012 China

Traditional distribution transformers have shortcomings such as poor dynamic characteristics and unreasonable voltage compensation. It is difficult for them to meet the demand for power quality with large-scale integration of new energy into the grid. A hybrid distribution transformer (HDT) is one of the important means to address the above issues. It has good flexibility in voltage regulation and huge development potential. To analyze the operating status and losses of HDT, this paper constructs a simplified equivalent impedance model for HDT. Firstly, the operating principle, characteristics, and voltage regulation range of the direct AC/AC HDT are analyzed. Secondly, based on the state space averaging method, obtain the HDT single-phase average circuit topology and construct an HDT relaxed two-port network model. Thirdly, considering the operating losses of the transformer, derive the Thevenin equivalent parameters of HDT. Then, a simplified equivalent impedance model for HDT and the corresponding control strategies are given. Finally, verify the correctness and rationality of the proposed theory by building an HDT simulation model. © 2024, The Authors. All rights reserved.

关键词： Equivalent circuits

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Emergency control methods for power systems based on improved deep reinforcement learning 6

Emergency control methods for power systems based on improve...

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2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Ma, Qinfeng Zhang, Qingqing Liu, Mingshun An, Su Pu, Qingxin Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou Guiyang550000 China

In order to achieve fast and accurate transient stability analysis and emergency control, this paper proposes a transient stability emergency control method based on improved deep reinforcement learning. In order to fully explore the temporal and spatial variation trend of transient response, a multi-dimensional feature containing information such as transient situation energy is constructed, and the deep reinforcement learning model is transformed based on the time-space graph neural network. On this basis, an emergency control model is constructed, and the power grid knowledge is integrated into the emergency control decision-making scheme to reduce the exploration of invalid decision-making and improve the performance of the model. The effectiveness of the proposed method is verified in the IEEE-39 system. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Deep reinforcement learning

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Fault Condition Testing of Photovoltaic Inverter controller Based on Active Support Technology using Hardware-In-the-Loop in RTDS 1

Fault Condition Testing of Photovoltaic Inverter Controller ...

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2024 1st International Conference on Smart Grids and power systems, ICSGPS 2024

作者： Li, Shengnan Hu, Yun He, Xin Zhu, Yihua He, Tingyi Tu, Liang Deng, Can Luo, Chao Su, Mingzhang Zeng, Guanming Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

Photovoltaic power generation is an important component of sustainable power generation and has been widely utilized. Grid connected inverters are key equipment in photovoltaic integrated systems, which directly affect the stability of the system. In this paper, the transient model of photovoltaic inverter controller based on active support technology is derived. The transient mathematical model and corresponding self-closing loop control strategy are analyzed. Based on the RTDS, a hardware controller semi-physical simulation platform is established to simulate and test photovoltaic inverters under different fault and control methods. Finally, the simulation data obtained from the self-closing loop control method and the hardware control method are compared to verify the stability and reliability of the photovoltaic inverter hardware controller. © 2024 Published under licence by IOP Publishing Ltd.

关键词： controllers

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Research on the Application of Big Data in Transient Stability simulation of power systems 4

Research on the Application of Big Data in Transient Stabili...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

作者： Zhang, Jie Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou5106633 China

ISBN: (纸本)9798331518066

With the rapid expansion of smart grids, there is a growing complexity in power system dynamics, which increases the availability of real-time operational data and underscores the need for advanced transient stability simulations. Traditional transient stability analysis methods are constrained by their computational demands and may compromise accuracy. Furthermore, deep learning-based methods often focus on the application of a single algorithm, lacking a systematic consideration of the entire simulation process. To address these challenges, this study proposes a novel approach that leverages big data to enhance transient stability simulations. By integrating deep learning and ensemble learning techniques, the model significantly improves the accuracy and efficiency of predicting transient instabilities. The methodology utilizes a multi-source data acquisition and fusion scheme to ensure data comprehensiveness and a distributed storage architecture to handle large-scale datasets effectively. Advanced visualization technologies are also employed to enhance the interpretability of the simulation results. This comprehensive framework aims to support the safe and stable operation of power systems amid increasing complexity and data availability. © 2024 IEEE.

关键词： Transient stability

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Optimal Scheduling of Multiple Energy Storage-Thermal power Units under Electricity Market 4

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

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4th IEEE New Energy and Energy Storage system control Summit Forum, NEESSC 2024

作者： Li, Baoju Xu, Shuguang Fu, Jiyue Fu, Xiaobiao Wang, Yao Zhu, Xingxu Li, Cuiping Li, Junhui Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China

ISBN: (纸本)9798350389012

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities. © 2024 IEEE.

关键词： Charge storage

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