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检索条件"机构=State Key Lab. of Control and Simulation of Power System and Generation Equipments"

共 335 条记录，以下是31-40 订阅

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Ultra-short-term solar PV power forecasting based on cloud displacement vector using multi-channel satellite and NWP data

Ultra-short-term solar PV power forecasting based on cloud d...

引用

第40届中国控制会议

作者： Rui Gao Xuemin Zhang Zhao Zhen Shengwei Mei State Key Lab of Control and Simulation of Power Systems and Generation Equipments （Dept. of Electrical Engineering Tsinghua University）

Satellite cloud image data plays an important role in the ultra-short-term photovoltaic（PV） power forecasting. By calculating the cloud displacement vectors of two adjacent cloud images, it is possible to calculate the cloud cluster’s occlusion of the PV power plant for a period of time in the future, thereby forecasting the PV power. The satellite cloud image data provided by FY-4 A Satellite has large and unequal sampling time intervals, which brings difficulties to cloud displacement vector calculation. This paper proposes a method for calculating the displacement vector of the cloud edge block based on the cosine similarity and the adaptive adjustment of the matching spatial scale. The parameter equation is used to establish the relationship between the relative position of the cloud cluster and the PV plant over time, and to predict the future position. On this basis, this paper proposes an ultra-short-term forecasting method of PV power based on cloud displacement vector. The performance of the proposed model is verified through case analysis.

关键词： ultra-short-term prediction photovoltaic power generation cloud displacement vector multi-channel satellite data

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A multi-source data collection and information fusion method for distribution network based on IOT protocol 3

A multi-source data collection and information fusion method...

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3rd International Conference on Green Energy and Sustainable Development, GESD 2020

作者： Cai, Yongxiang Xiao, Xiaobing Tian, Hao Fu, Yu Wu, Peng He, Hongliu Electric Power Research Institute of Guizhou Power Grid Co. Ltd. Guiyang China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing China Binjiang College Nanjing University of Information Science and Technology Wuxi China

With the construction of Global Energy Internet, Intelligent distribution network has more and more characteristics of multi scene, multi service and changeable measurement and control objects. In order to realize data collection and information exchange among the intelligent terminal and energy, power grid, load, energy storage and other control resources in distribution network, we should research an architecture which can adapt to various data sources Based on dynamic self describing protocol. © Published under licence by IOP Publishing Ltd.

关键词： Digital storage

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Stability Analysis and Braking system Design of Icebreaker Propulsion system Based on 3L-NPC Inverter

Stability Analysis and Braking System Design of Icebreaker P...

引用

Smart power & Internet Energy systems (SPIES), International Conference on

作者： Nianzhou Liu Nan Fu Pengfei Xie Wenfeng Long Kui Wang Yongdong Li Science and Technology on Ship Integrated Power System Technology Laboratory Wuhan Institute of Marine Electrical Propulsion Wuhan China State Key Lab of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

The icebreaker is important in the polar scientific investigation and resource exploration. There will be pulse and periodic load during the continuous icebreaking process, which may affect the propulsion system of the icebreaker. This paper mainly analyzes the effect of the impact load on the three-level neutral point clamped (3L-NPC) inverter with diode front-end, and demonstrates the relationship between the impact load and the feedback energy. Moreover, the choice of the resistance of the braking resistor is briefly discussed. The simulation results are given at last, which verify the rationality and correctness of the theoretical analysis.

关键词： Resistors Resistance simulation Energy Propulsion Inverters Stability analysis

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Open Architecture Design of Universal Terminal for Multiple Measurement and control Scenarios of Distribution Network 3

Open Architecture Design of Universal Terminal for Multiple ...

引用

3rd International Conference on Green Energy and Sustainable Development, GESD 2020

作者： Zhang, Ruifeng Xiao, Xiaobing Tian, Hao Cai, Yongxiang Fu, Yu He, Hongliu Electric Power Research Institute of Guizhou Power Grid Co. Ltd. Guiyang China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing China Binjiang College Nanjing University of Information Science and Technology Wuxi China

Introduce the IoT platform technology based on SDN (Software Defined Network), cloud-based, flexible management and configuration of smart terminals, and support access to millions of terminal devices and smart operation and maintenance management. The traditional monitoring system is integrated with the Internet of Things platform, and on the basis of realizing the general SCADA system monitoring function, through the side-cloud collab.ration, the lean management of the distribution station area is realized. © Published under licence by IOP Publishing Ltd.

关键词： SCADA systems

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Consensus-based Nodal Pricing Mechanism for Automated Demand Response Considering Congestion Management on Distribution Networks

Consensus-based Nodal Pricing Mechanism for Automated Demand...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Luo, Gang Chen, Yijing Zhao, Yue He, Yujun Gong, Chao Zhao, Chen Power Dispatching and Control Center Guangdong Power Grid Co. Ltd Guangzhou China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (纸本)9781728143033

This paper investigates a consensus-based nodal pricing mechanism for incenting automated demand response in the deregulated market environment. These small-scale customers are autonomously managed by automated demand response (DR) controllers, which are capable of scheduling user's load devices to follow a day-ahead 24h price signal from electricity distribution companies (EDC). First, an alternating current optimal power flow (ACOPF) on the distribution network is formulated considering the participation of automated DR. Then, a consensusbased approach is exploited to adjust the nodal price and DR profile for each customer using primal-dual decomposition. The proposed mechanism is compared with a day-ahead pricing (DAP) program on a test distribution network and numerical results have shown promising performance in supporting the congestion management on the distribution grid. © 2020 IEEE.

关键词： Software testing

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A Study of Forecast Uncertainty Handling Technologies for MGEMS Considering power Trading between MGs

A Study of Forecast Uncertainty Handling Technologies for MG...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Zhao, Yue Gao, Hong-Chao Luo, Gang Gong, Chao Zhao, Chen Zhang, Xuan Guangdong Power Grid Co. Ltd Power Dispatch and Control Center Guangzhou China Generation Equipments Tsinghua Univeristy State Key Lab of Control and Simulation of Power Systems and Beijing China

ISBN: (纸本)9781728143033

Attention to efficient and cost-effective utilize of energy has become a common view in the energy sector. A variety of microgrid energy management systems are developed and installed to achieve the goal. However, the performance of the microgrid energy management system depends on some factors, such as forecast uncertainty, measurement error, and so forth. Among them, a series of handling technologies for the forecast uncertainty are the focus in this paper. It includes accuracy improvement of prediction program based on time series method, operation strategy adoption, real-time control scheme for the energy storage equipment, and proposes a robust rule to against the extreme situation as well. This not only achieves effective energy management, but also helps to avoid operation cost increasing induced by the transaction bias assessment through the improvement of energy scheduling accuracy. The effectiveness and validity of these means is verified in the constructed campus microgrids at Chonnam National University. © 2020 IEEE.

关键词： Energy management

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Autonomous Decentralized control of Distributed generation using Multi-Agent Reinforcement Learning

Autonomous Decentralized Control of Distributed Generation u...

引用

IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Jian Liul Weifeng Xul Zhijun Liul Guanhua Ful Yunpeng Jiang Jun Wang Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China Wuxi Research Institute Of Applied Technologies Tsinghua University Dept. of Electrical Engineering State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (纸本)9798350399677

With the large-scale integration of distributed generations (DGs), a centralized control approach is being challenged concerning communication efficiency, resiliency to communication failure, privacy, and scalab.lity. An autonomous decentralized control for DGs in distribution networks is proposed to ensure privacy while also reducing the computational burden. Meanwhile,a multi-agent reinforcement learning method considering privacy protection constraints is developed to solve the autonomous decentralized control problem. The effectiveness of the proposed control method is verified by the numerical example of the modified 141-bus distribution system test_feeder.

关键词： Privacy Scalab.lity Computational modeling Decentralized control Asia Reinforcement learning Distribution networks

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Wind power generation Capacity Evaluation Based on Correlation Analysis of Adjacent Wind Farms

Wind Power Generation Capacity Evaluation Based on Correlati...

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Sustainable power and Energy Conference (iSPEC)

作者： Shuxin Sun Ying Qiao Zongxiang Lu Yanhong Ma State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Wind Power Technology Center State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9781665414401

Accurate assessment of the power generation capacity of the wind farm is the key basis for incorporating it into power system scheduling and other optimizing operation activities. Traditional evaluation methods, such as benchmarking wind turbine method, have higher requirements for input data, but many wind farms in operation for many years are difficult to meet such data conditions. A new power generation capacity evaluation method based on correlation analysis of adjacent wind farms is proposed in this paper. Meteorological data and power of adjacent wind farms are used as replaced input data based on correlation analysis between the target farm with its adjacent farms. First, anticipate wind speed data and then construct the wind power curve with three different neural networks to evaluate power generation capacity. Afterwards, adjacent wind farms are used as data sources to fit the power data of the target wind farm with the application of influence radius method, inverse square distance method and bilinear interpolation method. Finally, combined with data in the actual case, investigate the advantages and disadvantages of different methods in the evaluation of power generation capacity.

关键词： Interpolation Analytical models Correlation Wind speed Soft sensors Neural networks Wind farms

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A software and hardware design of intelligent measurement and control terminal of distribution network based on a communication adaptive approach 3

A software and hardware design of intelligent measurement an...

引用

3rd International Conference on Green Energy and Sustainable Development, GESD 2020

作者： Ding, Yujie Xiao, Xiaobing Tian, Hao Liu, Chang Ouyang, Guangze Zhang, Ruifeng Anshun Power Supply Bureau of Guizhou Power Grid Co. Ltd. Anshun China Electric Power Research Institute of Guizhou Power Grid Co. Ltd. Guiyang China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing China Binjiang College of Nanjing University of Information Science and Technology Wuxi China

With the development of science and technology, the hardware and software design of transformer intelligent measurement and control terminal is very important. Based on the hardware and software appization of internet of things, the design scheme of hardware and software structure is given. Supported by high-performance operating system, the terminal device can be upgraded flexibly through APP application software. The intelligent terminal pair can realize full data collection, full control and full fusion, and real-time exchange of key operation data with the power distribution master station. The intelligent terminal can support 5G communication and realize full compatibility of communication conditions downward. © Published under licence by IOP Publishing Ltd.

关键词： Application programs

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Circuit breaker arc fault detection based on fault recording data in HVDC converter station 15

Circuit breaker arc fault detection based on fault recording...

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15th International Conference on Developments in power system Protection, DPSP 2020

作者： Wang, Bin Dong, Xinzhou Yu, Bin Xie, Min Wang, Haigang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing10084 China Anhui Electric Power Company Dispatching Center Anhui Hefei230061 China

ISBN: (纸本)9781713827894

Arc fault occurs easily when circuit breakers (CB) cut the AC filters circuits in HVDC substation frequently. A transient arc model and online detection method are proposed in this paper. The proposed arc model is based on the conventional three stages arc model and Mayr arc model, the simulation results coincide with the actual recorded data well. and also, by utilizing the zero sequence arc current, the online arc detection method based on first order accumulation is introduced. simulation results and actual arc fault data proved the correctness and accuracy of proposed arc fault detection algorithm. © 2020 IET Conference Publications.

关键词： Electric circuit breakers

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