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China International Electrical and Energy Conference (CIEEC)

作者： Chunjiang He Yijian Wang Yang Xu Yang Cui State Key Laboratory of Power Grid Security and Energy Conservation China Electric Power Research Institute Beijing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin

Combined Cooling, Heating and power(CCHP) system is an important way to improve the efficiency of energy utilization and wind power consumption. In this case, increasing the operational flexibility of CCHP systems can help increase renewable energy consumption and reduce carbon emissions. So, it is necessary to provide real-time optimal energy management(OEM) for CCHP systems. In this paper. Firstly, a new training method is proposed for the LightGBM to improve the accuracy of real-time wind power prediction. In addition, to solve the nonlinear OEM of CCHP in real-time, a novel deep reinforcement learning algorithm-Soft Actor-Critic, is used in this paper. By combining the mechanism of CCHP with the reward function through knowledge fusion, the non-convex models can be translated into Markov Decision Processes(MDP), and then according to the Bellman optimal equation, the real-time optimized operation of the CCHP system is realized. Finally, the effectiveness of the proposed policy is verified by the actual operation data of a CCHP system in Northwest China.

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Physical Mechanism and Data Hybrid Modeling for Device-Level Emulation of Modular Multilevel Converter

Physical Mechanism and Data Hybrid Modeling for Device-Level...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Minhua Xie Yixuan Peng Jiayuan Zhang Haijun Tang Ruimin Zhu Wei Fan State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China Beijing Key Laboratory of DC Grid Technology and Simulation State Grid Smart Grid Research Institute Co. Ltd. Beijing China School of Electrical and Electronics Engineering North China Electric Power University Baoding China Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd. State Grid Liaoning Electric Power Co. Ltd. Shenyang China

In the modular multilevel converter (MMC), the insulated gate bipolar transistor (IGBT) is one of the most important devices for power conversion. Therefore, an accurate and efficient model of the sub-module is significant for design, monitoring and diagnosis of valve towers. Due to the complex multi-physics field inside the semiconductor device, it is laborious to describe the physical mechanism model in detail. Traditional mechanism models cannot meet the requirements of digital twin applications. In this paper, a new modeling method for sub-modules based on long short-term memory neural network is developed and the model is integrated into the traditional model of MMC for simulation, which is a physical mechanism and data hybrid modeling method to retain both of their advantages.

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DISCRIMINATION METHOD OF HVdc COMMUTATION FAILURE BASED ON VALVE VOLTAGE AND VALVE CURRENT

DISCRIMINATION METHOD OF HVDC COMMUTATION FAILURE BASED ON V...

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2021 Annual Meeting of CSEE Study Committee of HVdc and power Electronics, HVdc 2021

作者： Fan, Zheng Zhu, Lin Wei, Xiaoguang Liu, Dong State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co. Ltd. Beijing China Beijing Key Laboratory of Dc Grid Technology and Simulation Global Energy Interconnection Research Institute Co. Ltd. Beijing China

ISBN: (纸本)9781839537035

Commutation failure is one of the most common faults on the inverter side of HVdc transmission system. Rapid and accurate discrimination of commutation failure is the premise of resisting commutation failure. In this paper, a method for discriminating HVdc commutation failure based on valve voltage and valve current is proposed. According to the process and development of commutation failure, combined with the two waveform information of valve voltage and valve current, the most direct information characteristics of commutation failure are extracted for discrimination. Compared with the discrimination method of single use of converter valve voltage or converter valve current, this method not only accurately discriminates the commutation failure, but also improves the discrimination speed and shortens the discrimination time. Taking CIGRE HVdc benchmark model as simulation example, the logic module of HVdc commutation failure discrimination method based on valve voltage and valve current is built in PSCAD/EMTdc to verify the effectiveness of the proposed method. © 2021 IET Conference Proceedings. All rights reserved.

关键词： Logic devices

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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International Conference on power System technology (powerCON)

作者： Yinjuan Xue Qifang Chen Haiqing Cai Mingchao Xia Haohan Gu School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Guangzhou China

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples.

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Optimal Allocation Strategy of Frequency Modulation power for Multiple Energy Storage Systems Considering Dual Constraints of Frequency Modulation Cost and Frequency Modulation Capability

Optimal Allocation Strategy of Frequency Modulation Power fo...

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power Science and technology (ICPST), IEEE International Conference on

作者： Yongming Peng Wenbo Si Haiji Zhao Changlin Lv Chengzhe Liu Fei Xu Ling Hao Junhui Li Northeast Branch of State Grid Corporation of China Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China

Aiming at the power allocation problem of multiple energy storage power stations distributed at different locations in the regional power grid participating in frequency modulation services, a frequency modulation power optimization allocation strategy for multiple energy storage systems considering the dual constraints of frequency modulation cost and frequency modulation capability is proposed. Firstly, a multi-objective optimization allocation model for frequency modulation power is constructed with the minimum frequency modulation cost and minimum deviation of the state of charge (SOC) for energy storage power plants. Secondly, using Pareto based multi-objective genetic algorithm (MOGA) to solve the model, introduce adaptive weight coefficients and fuzzy membership functions for each objective function regarding the frequency regulation demand of the power grid and the deviation of the SOC of energy storage stations, construct a comprehensive satisfaction function to make decisions on the most advantageous points on the Pareto frontier, in order to obtain the optimal output of each energy storage station that can adapt to the frequency regulation requirements of the power grid. Finally, simulation analysis was conducted on the proposed strategy in this article, and the results showed that: The proposed strategy not only enhances the frequency regulation economy of the regional power grid, but also helps to restore the SOC of the energy storage power station.

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Short-Term Prediction of Wind Farm Cluster power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods

Short-Term Prediction of Wind Farm Cluster Power Based on Lo...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Mao Yang Yunfeng Guo Bo Wang Zhao Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing China

Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the power system due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. And the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method.

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Probabilistic power Flow Calculation of AC/dc Hybrid System Based on Cumulant Method

arXiv

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arXiv 2022年

作者： Sun, Yinfeng Xia, Dapeng Gao, Zichun Wang, Zhenhao Li, Guoqing Lu, Weihua Wu, Xueguang Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Global Energy Interconnection Research Institute Beijing102211 China Beijing Key Laboratory of DC Power Grid Technologies and Simulation Beijing102211 China

The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic power flow calculation method based on the cumulant method for the voltage sourced converter high voltage direct current (VSC-HVdc) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/dc power flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned power flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample，the cumulants of the load and photovoltaic output are obtained;Then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence. Copyright © 2022, The Authors. All rights reserved.

关键词： Electric load flow

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A Fault Ride-Through Method Based on Energy Dissipation Device in the Scenario of Flexible HVdc grid Connection of Offshore Wind power

A Fault Ride-Through Method Based on Energy Dissipation Devi...

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Electrical Engineering and Control Technologies (CEECT), Conference on

作者： Xifang Huang Yu Wang Jing Ge Chengbin Chi Fusuo Liu Stability Technology Branch Company NARI Group Corporation State Grid Electric Power Research Institute Nanjing China Beijing Key Laboratory of DC Grid Technology and Simulation State Grid Smart Grid Research Institute Co. Ltd Beijing China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9781665499002

The flexible HVdc transmission technology based on the modular multilevel converter (MMC) topology has a very broad application prospect in the process of large-scale renewable energy collection and transmission. This technology has become one of the best choices for long-distance offshore wind power farms to connect to the onshore power grid. In view of the special working conditions such as overvoltage in the fault state, this article proposes a controllable large-capacity self-recovery energy-dissipation device for the first time to improve the transient characteristics of the dc and AC power system. The proposed scheme has the advantages of no harmonic generation during operation, relatively simple control strategy and high current impact resistance. The electromagnetic transient simulation shows that the proposed scheme can effectively solve the overvoltage problem of dc in the offshore wind power flexible HVdc system, and improve the reliability of the HVdc system.

关键词： Arresters HVdc transmission Energy dissipation Wind power generation power system reliability Topology Reliability

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Cycling hydrogen desorption properties and microstructures of MgH_(2)-AlH_(3)-NbF_(5) hydrogen storage materials

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Rare Metals 2021年第4期40卷 1003-1007页

作者： Xiao-Sheng Liu Hai-Zhen Liu Ning Qiu Yan-Bing Zhang Guang-Yao Zhao Li Xu Zhi-Qiang Lan Jin Guo Guangxi Novel Battery Materials Research Center of Engineering Technology School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Guangxi Key Laboratory of Processing for Non-ferrous Metallic and Featured Materials School of Physical Science and TechnologyGuangxi UniversityNanning 530004China Guangxi Colleges and Universities Key Laboratory of Novel Energy Materials and Related Technology School of Physical Science and TechnologyGuangxi UniversityNanning 530004China State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co.LtdBeijing 102209China Department of AC Construction State Grid Co.LtdBeijing 100031China State Grid DC Project Construction Branch Company Beijing 100052China

Magnesium hydride(MgH_(2)) is a candidate material for hydrogen ***_(2)-AlH_(3) composite shows superior hydrogen desorption properties than pure MgH_(2).However,this composite still suffers from poor cycling *** this work,NbF_(5) was utilized to improve the cycling properties of the MgH_(2)-AlH_(3) *** hydrogen desorption studies show that NbF_(5) significantly improves the cycling stability of MgH_(2)-AlH_(3).The MgH_(2)-AlH_(3)-NbF_(5) composite can release about 2.7 wt% of hydrogen at 300℃ for 1 h and the hydrogen desorption capacity can maintain at 2.7 wt% for more than100 *** comparison,the hydrogen desorption capacity of the MgH_(2)-AlH_(3) composite is decreasing with the cycle number *** capacity is reduced from a maximum value of 3.3 wt% to about 1.0 wt% after 40 ***-Emmett-Teller(BET) surface area measurements show that the particle size of MgH_(2)-AlH_(3) composite decreases after cycling,which means pulverization of the ***_(5) can to some extent suppress the pulverization of the composite during cycling,which partially contributes to the improvement of the cycling hydrogen desorption properties of the material.

关键词： Hydrogen storage materials Magnesium hydride Aluminum hydride Niobium fluoride Cycling properties

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics

The Correlation Mechanism that Micro-Structure Parameters of...

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International Conference on Electrical Materials and power Equipment (ICEMPE)

作者： Pengfei Meng Jingke Guo Long Zhao Wenhao Lu Zheng Liu Shan Li Kai Zhou Jun Hu College of Electrical Engineering Sichuan University Chengdu China State Grid Linyi power supply company STATE GRID Corporatio of China Linyi China High Voltage Technology Department Extra High Voltage Power Transmission Company of CSG Guangzhou China State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Northwest Institute of Nuclear Technology Xi’an China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters.

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