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

作者： Jingxiang Zhang Hui Zou Hewei Hou Junhui Li Rongrong Ji Kaiyuan Duan Cuiping Li Xingxu Zhu Extra-High Voltage Branch Company of State Grid Zhejiang Electric Power Co. Ltd Hangzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

At present, substations usually use electrical blocking facilities to achieve the function of anti-fault blocking, but new stations and new reconstruction and expansion stations have the problem of low efficiency in the compilation and review of anti-fault blocking logic rules, and also need a lot of manual debugging and checking time. In this paper, based on the typical substation wiring and anti-false blocking logic rules, the typical substation wiring library and the corresponding blocking logic library are constructed; then, the graphic editing module and graphic analysis module are constructed by combining the substation modelling method with the topology and other technologies. Finally, the automatic generation of anti-error latching logic rules is realised, which solves the problems of low efficiency and lack of reliability in the writing and checking of the corresponding substation anti-misoperation locking logic rules.

关键词： Wiring Graphics Substations Reviews Debugging system integration Libraries Topology Logic Reliability

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A fast power control method based on high-speed communication for the continuous co-phase traction power system

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iEnergy 2022年第4期1卷 395-399页

作者： Mingrui Li Yingdong Wei Yunzhi Lin Xiaoqian Li Chao Lu Changle Wang Zhanhe Li State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China China Railway Electrification Engineering Group Co. Ltd.Beijing 100036China

Continuous co-phase traction power system is an effective method to eliminate neutral sections and provide high quality power for both the public grid and the *** substations have the ability to provide cooperative support to each other to reduce capacity and improve system reliability.A fast power control method for substations is needed due to rapid load changes and low overload capability of the *** paper proposes a fast power control method based on high-speed communication between substations,with additional transient power control to significantly improve the dynamic response of the system.

关键词： Continuous co-phase traction power system cooperative power control dynamic response high-speed communication

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A New Energy power Grid Expansion Planning Technology Considering Optimal Economy 3

A New Energy Power Grid Expansion Planning Technology Consid...

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3rd International Conference on Green Energy, Environment and Sustainable Development, GEESD 2022

作者： Song, Xinfu Xin, Chaoshan Yu, Jin Yu, Zhiyong Shen, Danhua Ma, Junliang State Grid Xinjiang Electric and Technological Research Institute Xinjiang Wulumuqi830000 China Beijing Guantao Law Firm Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin Jilin132012 China

ISBN: (纸本)9781643683126

This paper examines the path of new energy development in China against the backdrop of carbon maximum and carbon neutralization, and studies the risk of large scale new energy power transmission. In order to solve the complex uncertainty challenges of renewables power and power grid expansion planning, this paper studies and proposes an optimal economic planning model, which includes the thermal power generation start-up and shutdown expenses during the operation, the hydro power generation expenses of surplus water of reservoir, and the curtail penalty cost of new energy output power, the investment of new planning lines. The model has also considered the constraints of balance for power generation and load consumption, the power change rate, and operation, which are calculated based on the time-series operation simulation of new energy power system. Based on the functions, the process of power grid planning technology has been proposed. The planning model proposed in this paper can consider the new energy power characteristics of generation, realize the optimal planning of different power grid schemes. According to the case study findings, the new transmission line can relieve the pressure of local new energy transmission, while also improving power flow distribution as well as the rate of new energy utilization. © 2022 The authors and IOS Press.

关键词： Expansion

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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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Economic Analysis of Energy Storage Peak Shaving Considering Full Life Cycle Cost 5

Economic Analysis of Energy Storage Peak Shaving Considering...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Li, Junhui An, Chenyu Zhang, Jingxiang Li, Cuiping Zhao, Haiji Yu, Jun Jin, Xuezhu Hou, Kaiyuan Xu, Fei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China Northeast Branch of State Grid Corporation of China Liaoning Shenyang110180 China Haidian District Beijing100084 China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

As an effective means to improve the wind power consumption capacity of power system, the economy of energy storage participation auxiliary service has received extensive attention from academic circles. In this paper, the cost composition of the whole life cycle of the electrochemical energy storage system is comprehensively considered, and the economic analysis of different Wheres of electrochemical energy storage participating in peak shaving auxiliary services is conducted according to the operation rules of the power market in northeast China. Firstly, four widely used electrochemical energy storage systems were selected as the representative, and the control strategy of source-side energy storage system was proposed for real-time peak modulation in wind farms. Secondly, the peak shaving economic model based on the life cycle cost of energy storage is constructed. Finally, by selecting the annual data of a wind farm in northeast China, the economic benefits of different Wheres of electrochemical energy storage are analyzed and compared, and the reasonable opinions on improving the benefits of energy storage are given. © 2022 IEEE.

关键词： Life cycle

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Design of Ultra-Stable Solid Amine Adsorbents and Mechanisms of Hydroxyl Group-Dependent Deactivation for Reversible CO2 Capture from Flue Gas

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Nano-Micro Letters 2025年第7期 363-381页

作者： Meng Zhao Liang Huang Yanshan Gao Ziling Wang Shuyu Liang Xuancan Zhu Qiang Wang Hong He Dermot O'Hare College of Environmental Science and Engineering Beijing Forestry University State Key Laboratory of Efficient Production of Forest Resources Beijing Forestry University Research Center of Solar Power and Refrigeration Institute of Refrigeration and CryogenicsShanghai Jiao Tong University State Key Joint Laboratory of Environment Simulation and Pollution Control Research Centre for Eco-Environmental SciencesChinese Academy of Sciences Chemistry Research Laboratory Department of ChemistryUniversity of Oxford

Although supported solid amine adsorbents have attracted great attention for CO2capture,critical chemical deactivation problems including oxidative degradation and urea formation have severely restricted their practical applications for flue gas *** this work,we reveal that the nature of surface hydroxyl groups （metal hydroxyl Al–OH and nonmetal hydroxyl Si–OH） plays a key role in the deactivation *** polyethyleneimine （PEI） supported on Al–OH-containing substrates suffers from severe oxidative degradation during the CO2capture step due to the breakage of amine-support hydrogen bonding networks,but exhibits an excellent anti-urea formation feature by preventing dehydration of carbamate products under a pure CO2regeneration *** contrast,PEI supported on Si–OH-containing substrates exhibits excellent anti-oxidative stability under simulated flue gas conditions by forming a robust hydrogen bonding protective network with Si–OH,but suffers from obvi- ous urea formation during the pure CO2regeneration *** also reveal that the urea formation problem for PEI-SBA-15 can be avoided by the incorporation of an OH-containing PEG *** on the intrinsic understanding of degradation mechanisms,we successfully synthesized an adsorbent 40PEI-20PEG-SBA-15 that demonstrates outstanding stability and retention of a high CO2capacity of 2.45 mmol g-1over 1000 adsorption–desorption cycles,together with negligible capacity loss during aging in simulated flue gas （10%CO2+5%O2+3%H2O） for one month at60–70℃.We believe this work makes great contribution to the advancement in the field of ultra-stable solid amine-based CO2capture materials.

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Dynamic Economic Dispatch Considering Transmission-Distribution Coordination and Automatic Regulation Effect

Dynamic Economic Dispatch Considering Transmission-Distribut...

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作者： Wang, Mingqiang Wu, Yuqian Yang, Ming Wang, Mengxia Jing, Linguo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250002 China State Grid Tangshan Power Supply Company Tangshan063000 China State Grid Binzhou Power Supply Company Binzhou256600 China

With the rapid increase of renewable energy sources, the variability and uncertainty in power systems are significantly increased, and the power system operation is facing more and more challenges. In the traditional dynamic economic dispatch (DED) of transmission systems, the frequency and voltage regulation effects are not actively utilized. In addition, the transmission systems and distribution systems are optimized separately;the transmission-distribution coordination effect is not considered. In this article, a new DED is proposed. The optimal scheduling results are obtained by making a balance between operating cost and reliability cost. Both the automatic regulation effect and transmission-distribution coordination effect are explored and exploited in terms of the equivalent reserve, which can reduce the reserve provided by generating units, and can further enhance the security and economics of power system operation. The validity and effectiveness of the proposed model are illustrated by case studies. © 1972-2012 IEEE.

关键词： Scheduling

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Research on Distributed Photovoltaic Marketization Trading Model Considering Auxiliary Services

Research on Distributed Photovoltaic Marketization Trading M...

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Energy Engineering and power systems (EEPS), International Conference on

作者： Tao Meng Dexin Li Chenggang Li Wei Wang State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute Changchun Jilin Province China The Key Laboratory of Modern Power System Simulation and Control Ministry of Education Renewable Energy Technology (Northeast Electric Power University) Jilin Jilin Province China

ISBN: (数字)9798350366914

ISBN: (纸本)9798350366921

Constrained by the features of distributed photovoltaic (PV) power generation, as more distributed photovoltaic systems connect to the power grid, the demand for auxiliary services resulting from PV integration into the distribution network will significantly increase. Thus, when conducting market-oriented transactions, it becomes essential to consider not only the electricity market but also the auxiliary services required for distributed photovoltaics. This paper discusses the future distributed photovoltaic trading platform, price models, and the pricing and allocation of auxiliary services, aiming to achieve a virtuous cycle in distributed photovoltaic market-oriented trading. Furthermore, an example of distributed photovoltaic auxiliary services is provided, demonstrating that neglecting auxiliary services may allow distributed photovoltaic transactions to proceed, but they may fail to cover the cost of auxiliary services. Hence, the consideration of auxiliary services for distributed photovoltaics is crucial when organizing market-oriented transactions.

关键词： Photovoltaic systems Costs Electricity Pricing Distribution networks Electricity supply industry power grids Resource management

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New Intelligent Sensing Terminal system Architecture of Internet of Things

New Intelligent Sensing Terminal System Architecture of Inte...

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International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2022

作者： Zhou, Lidan Li, Jing Yao, Gang Wang, Hongyu Li, Jian Liu, Siyang Nie, Yongjie School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai Minhang District200240 China Wiscom System Co. LTD. Nanjing China State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China Electric Power Research Institute Yunnan Power Grid Co. Ltd. Yunnan Kunming650217 China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan650217 China

ISBN: (纸本)9789819904150

In view of the fragmentation of the functions, forms and basic software and hardware of the existing IoT terminals, we propose an IoT intelligent sensing terminal system architecture, in which the intelligent sensing layer collects external data and information and transmits it to the computing fusion collaboration layer for data processing, fusion and task collaboration. The local application layer generates processing results and interacts with the cloud application layer through the communication layer. The new intelligent sensing terminal system of the IoT has an integrated local four-tier architecture, which can meet the needs of the large-scale development of the IoT. In addition, it can work uniformly under the control of the cloud, or complete the underlying tasks independently. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Internet of things

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network

Clustering and Equivalent Modeling Method for Direct-Drive W...

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Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Liang Tu Libin Huang Haiping Guo Binjiang Hu Jingyue Zhang Hui Luo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of ${6 2 \%}$ to ${6 7 \%}$ and reduces the steady-state error in fault current simulation by ${0 . 8 \%}$ to ${1 . 9 \%}$.

关键词： Training Computational modeling Wind speed Current measurement Wind farms Data models Wind turbines Steady-state Transient analysis Particle swarm optimization

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