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International Conference on power system technology (powerCON)

作者： JunHui Li ZhenZhuo Zhao ZhiQiang Zhao HaoJun Liu CuiPing Li Zhi Li CaiQi Jia XingXu Zhu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Hami Power Supply Company Hami City Xinjiang Uygur Autonomous Region China

The TPU (Thermal power Unit) equipped with HESS (Hybrid energy Storage system) can effectively increase of FM (Frequency Modulation) performance of the unit and decrease the FM loss of the thermal power unit. The difficulty of rational allocation of ES (energy Storage) is how to improve the FM performance of TPU and reduce the life cycle cost of ES. Therefore, the paper establishes a multi-objective hybrid energy storage optimization configuration model aimed at reducing the FM loss of thermal power. Firstly, a double-layer control policy of thermal power-hybrid energy storage is proposed. The first layer is the thermal power-hybrid energy storage AGC instruction allocation strategy based on EMD (Empirical Mode Decomposition). The second layer is a hybrid energy storage control strategy with flywheel ES priority action and lithium battery second response. Then, a multi-objective optimal configuration model considering the difference between life cycle cost and benefit and AGC comprehensive evaluation index Kp is established. It uses the multi-objective PSO (Particle Swarm Optimization) algorithm based on TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) to solve the model, which can avoid contingency of traditional multi-objective PSO in determining optimum solution in the Pareto solution set. Finally, based on the simulation analysis of power plant operation data in North China, the results verify the availability and feasibility of the established model.

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Research on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis 3

Research on Aggregation Model of Wind Farm Based on SSO Comp...

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2020 3rd International Symposium on power Electronics and control Engineering, ISPECE 2020

作者： Xunwen, Su Hanqing, Cui Yuming, Pei Dongni, Zhang Pengyu, An Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China School of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin Heilongjiang China

In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Wind turbines

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Short-term power Prediction of Wind power Cluster Based on KOA-PLE

Short-term Power Prediction of Wind Power Cluster Based on K...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Nan Wu Mao Yang Chenglian Ma Yunpeng Jia Guozhong Fang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Jilin Power Supply Company of State Grid Jilin Electric Power Co. Ltd Jilin China State Gird Northeast China Branch Jilin China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the gradual acceleration of the world's energy transformation, the construction of new energy is becoming more and more large-scale. At the same time, the proportion of new energy in the power grid is increasing, and the high volatility of wind power poses certain challenges to the stability and reliability of the power system. Therefore, accurate large-scale wind power prediction is very necessary. This paper presents a multi-task learning predicting method for wind power clusters. Firstly, the wind power cluster is divided into subgroups with similar output characteristics, and then the different subgroup power is used to predict the multi-task targets. Meanwhile, the Kepler optimization algorithm (KOA) is used to optimize the model parameters. When the method is applied to a wind power cluster in China, RMSE and MAE are reduced by 2.07% and 1.92% compared with the traditional multi-task learning method, which proves the effectiveness of the proposed method.

关键词： Learning systems Clustering algorithms system integration Wind power generation power system stability Multitasking Prediction algorithms Stability analysis Reliability Optimization

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

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

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New energy and energy Storage system control Summit Forum (NEESSC)

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

ISBN: (数字)9798350389012

ISBN: (纸本)9798350389029

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.

关键词： Supply and demand Optimal scheduling Vanadium Redox Lithium power markets Iron Batteries power systems Load modeling

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Design of Dual Band Microstrip Filter Based on SIR 19

Design of Dual Band Microstrip Filter Based on SIR

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Gao, Peng Han, Yaru Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Jilin design department China Mobile Design Institute Co. Ltd Changchun China

ISBN: (纸本)9781665424462

As the core device in the field of communication, filter is developing towards miniaturization and high frequency. In this paper, a new dual frequency filter based on step impedance resonator is proposed. The resonant frequencies of the proposed stepped impedance resonator (SIR) dual frequency filter are 2.4GHz and 5.2GHz, and the isolation is greater than 20dB. © 2021 IEEE.

关键词： Microstrip filters

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Influence Analysis and Countermeasure Research of Dynamic Characteristics of Measurement system on Bridge Arm Current Differential Protection in MMC-HVDC system 18

Influence Analysis and Countermeasure Research of Dynamic Ch...

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18th International Conference on AC and DC power Transmission, ACDC 2022

作者： Chen, Qinlei Guo, Qi Lin, Xuehua Huang, Libin Li, Shuyong State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre 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

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

Aiming at the action phenomenon of bridge arm current differential protection after AC fault recovery of a modular multilevel converter high voltage direct current (MMC-HVDC) project, the characteristics of differential current are *** influence of temporary block strategy and dynamic characteristics of measurement system on differential current are studied, and the mechanism of differential current and the reasons for the action of bridge arm current differential protection are revealed. Based on the real-time digital physics closed-loop simulation platform, the action phenomenon of bridge arm current differential protection in the field is reproduced and the influence of the dynamic characteristics of the measurement system on the bridge arm current differential protection of the bridge arm is analyzed. The optimization measures are proposed from two aspects: the dynamic performance of the measurement system and the configuration of bridge arm current differential protection. The research results provide technical support for the design of MMC-HVDC project and the impact assessment of dynamic performance of measurement system on MMC-HVDC protection. © ACDC 2022. All rights reserved.

关键词： simulation platform

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Response-Based Synchronization Stability Analysis of Multi-Converter power systems 7

Response-Based Synchronization Stability Analysis of Multi-C...

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

作者： Zhou, Yuren Wang, Zihan Li, Gengyin Xia, Shiwei Zheng, Le Ma, Linlin Cheng, Dingyi Wang, Ting State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power Company Shandong China State Grid Shandong Electric Power Research Institute Power Grid Technology Center Shandong China

ISBN: (纸本)9798350345094

With the increasing integration of renewable energy into the power grid, the application of converters in the electrical systems has grown significantly. Due to the nonlinearity, the complexity and the difficult availability of the system models, traditional methods of synchronization stability analysis have revealed limitations and challenges when confronted with modern power systems. Additionally, the prevalence of grid-following converters in the grid leads to a shortage of voltage sources within the system, significantly increasing the risk of grid instability. This paper addresses the issue of synchronization stability analysis of multi-converter power systems, and proposes a response-based method to assess the synchronization stability level of the entire system. Through an analysis of the synchronization stability mechanism of grid-forming converters, a relationship is established between electromotive force, power angle, and node voltages. A quantitative stability evaluation of the system is achieved using the sBTTC index. Case studies show that the proposed response-based method is effective to analyze the synchronization stability of multi-converter power systems, with great practical viability in engineering applications. © 2023 IEEE.

关键词： Electric power system stability

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Optimal Operation of an Integrated Electricity-heat energy system Considering Flexible Resources Dispatch for renewable Integration

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Journal of modern power systems and Clean energy 2021年第4期9卷 699-710页

作者： Wei Wang Shuhao Huang Guangming Zhang Jizhen Liu Zhe Chen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Department of Energy Technology Aalborg University9220 AalborgDenmark

Large fluctuations may occur on the energy supply and the load sides when large-scale renewable energies are integrated,leading to great challenges in power *** renewable power curtailment is especially numerous in the integrated electricity-heat energy system(IEHES)on account of electricity-heat *** flexible resources(FRs)on both the energy supply and load sides are introduced into the optimal dispatch of the IEHES and further modeled to alleviate the renewable fluctuations in this *** the energy supply side,three kinds of FRs based on electricity-heat coordination are modeled and *** the load side,the shiftable electricity demand resource is *** this basis,the solution for FRs participating in IEHES dispatch is given,with goals of maximizing the renewable penetration ratio and lowering operation *** scenarios are performed,and the results indicate that the proposed optimal dispatch strategy can effectively reduce the renewable energy curtailment and improve the flexibility of the *** contribution degrees of different FRs for renewable integration are also explored.

关键词： Integrated electricity-heat energy system(IEHES) renewable penetration flexible resource(FR) electricity-heat coordination shiftable demand load

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Damping Torque Analysis of the PLL Low-Frequency Components for Grid Following VSG

Damping Torque Analysis of the PLL Low-Frequency Components ...

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2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022

作者： Zhou, Yichen Li, Sha Sun, Jiahui Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Electrical and Electronic Engineering North China Electric Power University Jilin China Guangdong Power Grid Corporation Dongguan Power Supply Bureau China Southern Power Grid Guangdong Dongguan China North China Electric Power University Electrical and Electronic Engineering Hebei Baoding China

ISBN: (数字)9781665498357

ISBN: (纸本)9781665498357

Phase-locked loop (PLL) is the key tool for the grid-connected inverter to track the frequency and phase of the grid voltage when synchronizing with the power grid. Therefore, the stability of PLL is particularly important. This paper proposes a damping torque analysis method to study the stability of the low-frequency component of PLL for the grid following a virtual synchronous generator (VSG). Firstly, the small signal model is established for the grid following VSG with a dual-loop structure. Secondly, the damping torque analysis method is provided especially for the stability analysis of PLL low-frequency components. And the corresponding stability criterion is constructed. Finally, significant factors that affect the stability of PLL low-frequency components are studied by the test system and the corresponding mechanism is revealed, including the influence of line reactance, PLL control parameters, and virtual damping. Results show that the stability of PLL is greatly dominated by the low-frequency component, whose stability can be improved by adopting a smaller integral coefficient of PLL, smaller virtual inertia, and larger virtual damping D. © 2022 IEEE.

关键词： Stability criteria

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Ultra-short-term power Prediction of Photovoltaic based on CNN-AM-BiLSTM

Ultra-short-term Power Prediction of Photovoltaic based on C...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Junhui Li Mingxuan Du Haozheng Yu Jie Ma Youwen Zhang Jiatao Gan Xingxu Zhu Cuiping Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China AnYang Power Supply Company State Grid HeNan Electric Power Company AnYang China Economic and Technical Research Institute State Grid HeNan Electric Power Company ZhengZhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

The power of photovoltaic power generation is affected by a variety of factors such as weather, radiation and temperature, exhibit a high degree of randomness and uncertainty. To address this problem, this paper proposes a ultra-short-term photovoltaic power prediction model based on Convolutional Neural Networks (CNN) and attention mechanism and bidirectional long short-term memory (Bi-LSTM). Firstly, Pearson's correlation coefficient was used to filter out the meteorological factors which have significant influence on the historical power. Subsequently, in order to capture the spatial features of the input data, a convolutional neural network is utilized for feature extraction and an attention mechanism is introduced to strengthen the model's ability to discriminate key features. Meanwhile, the Bi-LSTM network is utilized to capture the temporal dependencies in the time series data, and finally the PV power prediction value is obtained. Finally, the validation is based on data from actual PV power plants, and the results show that the proposed Convolutional Neural Networks and attention mechanism (CA) and Bi-LSTM Ultra-short-term PV power prediction model outperforms the single model in terms of prediction accuracy, reflecting the effectiveness and superiority of the hybrid model.

关键词： Photovoltaic systems Accuracy Attention mechanisms Time series analysis Weather forecasting Predictive models Feature extraction Data models Hybrid power systems Convolutional neural networks

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