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Optimal power and energy sizing of compressed air energy storage in distribution network using multiparametric programming

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Fan Chen Zhongjie Guo Qiyou Lin Xiaodai Xue Yuguang Xie Shengwei Mei State Grid Anhui Electric Power Research Institute Hefei 230601 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China State Grid Wuhu Electric Power Supply Company Wuhu 241027 China

As a new type of mechanical energy storage, compressed air energy storage (CAES) has attracted wide attention in recent years. This paper studies the optimal sizing problem of CAES in power distribution network (PDN). CAES plays a role in shaving the peak and filling the valley at demand side and thus reduces the operation cost of PDN to purchase electricity from the main grid. A multi-parametric linear programming (MP-LP) model is formulated where the power and energy capacities of CAES are regarded as parameters; the parameterized optimal value function (OVF) provides a graphical tool to describe the impact on operation cost of CAES configuration, which helps determine the planning strategy in a visual manner. The visualized results reveal not only the optimal solution, but also some useful information, like the sensitivity of operation cost to parameters. Case studies conducted on the IEEE 33-bus distribution system verifies the effectiveness of the proposed method.

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An Explicit MPC Based on Galerkin Method for AGC Considering Volatile Generations

An Explicit MPC Based on Galerkin Method for AGC Considering...

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IEEE power and Energy Society General Meeting

作者： Yiwei Qiu Jin Lin Feng Liu Yonghua Song State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

Imbalance of generation and load caused by volatile generations poses challenges on frequency regulation. AGC is required to respond to the generation fluctuations without violating operational and security constraints. While explicit model predictive control (EMPC) provides an approach, the partition number of the piecewise affine control laws grows exponentially with the number of constraints and prediction/control horizons, which hinders its application in large systems. In this paper, we propose an EMPC approach for AGC by approximating the control laws using Legendre polynomial series expansions, thus entirely eliminating the partition issue. Galerkin method is applied to the KKT conditions of EMPC's multiparametric quadratic programming (mp-QP) problem to compute the approximations. Case study in New England 39-bus system verifies the performance and efficiency of the proposed controller.

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Modeling and simulation analysis of dual-rotor vibration system with multiple faults

Modeling and simulation analysis of dual-rotor vibration sys...

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Society for Machinery Failure Prevention Technology Conference 2018: Intelligent Technologies for Equipment and Human Performance Monitoring, MFPT 2018

作者： Yang, Yizhou Liu, Chao Jiang, Dongxiang Yang, Wenguang State Key Lab. of Control and Simulation of Power Systems and Generation Equipment Department of Thermal Engineering Tsinghua University Beijing100084 China

Dual-rotor system is an important rotor form in rotating machinery like gas turbine engine. Its complex structure results in rich dynamical behaviors and more probability to failure. The modeling and simulation of the dual-rotor system can help to understand its dynamic characteristics and provide theoretical support for the design, operation and maintenance. In this paper, a dynamic model of a dual-rotor system with multiple rotor faults is established. The dual-rotor vibration model without any fault is built by finite element method, where the two shafts are connected by an inter-shaft bearing and nonlinear models of rolling element bearing and squeeze film damper are considered. The numerical integration method of Newmark-β is used to obtain the steady-state vibration response of the system. Then rotor faults are introduced to the system model, including unbalance, misalignment, looseness and rub-impact. The steady-state responses of single faults in the dual-rotor system are analyzed and typical fault features are obtained. Then coupling characteristics between different rotor faults, and the influences of the squeeze film dampers on the dynamic characteristics and fault features of the system are studied. © 2018 Proceedings of the 9th International Symposium on Imprecise Probability.

关键词： Rotating machinery

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CCF early warning method of LCC-HVDC based on XGBoost algorithm

CCF early warning method of LCC-HVDC based on XGBoost algori...

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8th Renewable power Generation Conference (RPG 2019)

作者： Zhizhong Li Bin Wang Haigang Wang Bin Yu Min Xie Shi Chen Xinzhou Dong Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing 100084 China State Grid Anhui electric power company Hefei 230061 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

The lack of analytical mechanism of continuous commutation failure (CCF) process hinders the development of CCF early warning algorithm and further obstructs the coordination strategy of relay protection between AC and DC size in hybrid grid. However, summarizing the protection threshold of CCF in the form of electrical quantity analytically under different fault types is a nontrivial pattern recognition problem. To overcome the difficulty of directly analysing the electromagnetic process of CCF, a statistical learning modelling approach is adapted to propose a CCF warning system, in which XGBoost algorithm was used as the backbone to regress on the relationship between AC/DC electrical quantities and the possibility of the occurrence of CCF. The design of the feature vector in XGBoost-based classifier considers not only the analytical expression of key electrical quantity during single commutation failure but also the important state variable of control system. Additionally, a special data windowing method was proposed to enrich of information encoded by the feature vector while ensuring the speed requirement posed by the protection system. Validation on multi-fault scenes simulation shows that the proposed early warning system can trigger warning signal correctly with sufficiently small measured data required, proving the practicability in engineering practice.

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Machine-learning-based children’s pathological gait classification with low-cost gait-recognition system

Research Square

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Research Square 2021年

作者： Xu, Linghui Chen, Jiansong Wang, Fei Chen, Yuting Yang, Wei Yang, Canjun Ningbo Research Institute Zhejiang University Ningbo315100 China Department of Orthopedics The Children's Hospital Zhejiang University School of Medicine Hangzhou310006 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou310027 China Industrial Design Department of the Art and Design Institute China Academy of Art Hangzhou310024 China Hebei Heavy Machinery Fluid Power Transmission and Control Lab Yanshan University Qinhuangdao066004 China

Background: Pathological gaits of children may lead to terrible diseases, such as osteoarthritis or scoliosis. By monitoring the gait pattern of a child, proper therapeutic measures can be recommended to avoid the terrible consequence. However, low-cost systems for pathological gait recognition of children automatically have not been on market yet. Our goal was to design a low-cost gait-recognition system for children with only pressure information. Methods: In this study, we design a pathological gait-recognition system (PGRS) with an 8 × 8 pressure-sensor array. An intelligent gait-recognition method (IGRM) based on machine learning and pure plantar pressure information is also proposed in static and dynamic sections to realize high accuracy and good real-time performance. To verifying the recognition effect, a total of seventeen children were recruited in the experiments wearing PGRS to recognize three pathological gaits (toe in, toe out, and flat) and normal gait. Children are asked to walk naturally on level ground in the dynamic section or stand naturally and comfortably in the static section. The evaluation of the performance of recognition results included stratified 10-fold cross-validation with recall, precision, and a time cost as metrics. Results: The experimental results show that all of the IGRMs have been identified with a practically applicable degree of average accuracy either in the dynamic or static section. Experimental results indicate that the IGRM has 92.41% and 97.79% recognition accuracy respectively in the static and dynamic sections. And we find methods in the static section have less recognition accuracy due to the unnatural gesture of children when standing. Conclusions: In this study, a low-cost PGRS has been verified and realize feasibility, highly average precision, and good real-time performance of gait recognition. The experimental results reveal the potential for the computer supervision of non-pathological and pathological gaits i

关键词： Machine learning

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Research on Reliability of Ad hoc Network Communication in UAVs Formations

Research on Reliability of Ad hoc Network Communication in U...

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IEEE International Symposium on Electromagnetic Compatibility (EMC-Beijing)

作者： Yanchu Li Shufang Li Qingqing Ding Chao Wang School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

As an important performance index of the UAV Ad hoc network, network reliability is a great significance for the performance evaluation of the UAV network system, and provides a direction for the selection of the UAVs formations. In this paper, based on the 3D Gauss Markov moving model, we modeled the motion mode of the UAV group. By using the Weibull distribution to sample the failure of the fleet, and through the correlation matrix which characterizes the connectivity state of network nodes in the time domain, we studied and compare the reliability of the self-organizing network of the UAV group with different formations. It provides a basis for selecting the formations of the UAVs for different network requirements.

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Risk-constrained Economic Dispatch for power systems with Renewable Energy Sources and Compressed Air Energy Storage

Risk-constrained Economic Dispatch for Power Systems with Re...

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第三十八届中国控制会议

作者： Guangkuo Li Laijun Chen Yuguang Xie Bo Gao Tianwen Zheng Shengwei Mei State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University) State Grid Anhui Electric Power Research Institute Sichuan Energy Internet Research Institute Tsinghua University

Energy crisis and environmental concerns have led to the rapid development of renewable energy sources(RES). However, the fluctuating and unpredictable nature of RES reduce the reliability of the power systems. Using compressed air energy storage(CAES) is one of the main solutions to this problem. In this paper, three typical operation modes of CAES are adopted to improve the flexibility of the wind-CAES hybrid system, and a risk-constrained economic dispatch model considering the uncertainty of wind power and the part-load characteristics of CAES is proposed. Scenario generation and reduction technique is applied to model the uncertainties and a piecewise linearization method is used to incorporate the part-load features into the mixed integer linear programming model. The effectiveness of the proposed methodology is studied in a modified IEEE RTS 24-bus system.

关键词： economic dispatch compressed air energy storage wind generation uncertainty conditional value at risk

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High impedance fault analysis and location of single-phase-to-ground fault in feeder with multiple DGS connections

High impedance fault analysis and location of single-phase-t...

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8th Renewable power Generation Conference (RPG 2019)

作者： Xuan Ren Bin Wang Xinzhou Dong Department of Electrical Engineering Tsinghua University Beijing China Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Since the single-terminal fault location in the collection line of wind farm is seriously affected by the complex wind turbine branch, the traditional fault location methods are not applicable to the wind farm anymore. According to the traditional single-terminal impedance fault location method, the zero-fault sequence network of wind farm is studied. Generally, the box transformer is delta-connected to the wind turbine, so when a single-phase-to-ground fault occurs, there is no zero-sequence fault current flowing in the wind turbine branch. Then an improved fault location algorithm for the collection line of wind farm is proposed. In this method, with the wind turbine branch current considered, the collection line of wind farm is divided into several sections, and the fault location is searched step by step after the fault. This method can effectively reduce the influence of wind turbine branch on fault location and the fault distance and the fault resistance can be calculated accurately. Based on PSCAD simulation, the proposed fault location algorithm is validated.

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Fault location method for high-voltage direct current transmission line using incident current travelling waves

Fault location method for high-voltage direct current transm...

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作者： Wang, Bin Yang, Lin Dong, Xinzhou Department of Electrical Engineering State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing10084 China

The reflection coefficient of the travelling wave is different with different frequencies because of the inductance and capacitive elements on the boundary of the DC transmission line, which leads to the oscillation of the travelling wave. It is difficult to obtain the wave head's arrival time accurately using travelling wave method to locate fault because of the oscillation. The current travelling wave is the superposition of the incident current travelling wave and the reflected current travelling wave. There is no oscillation in the incident wave. Therefore, a method using incident current wave for fault location is proposed here. The initial current travelling wave and the transmission line boundary function are used to calculate the incident current travelling wave, and the incident wave is used to locate fault. The Prony decomposition algorithm is used to identify boundary function using the initial current travelling wave generated in specific fault condition. PSCAD simulation shows that the influence of oscillations of travelling wave can be eliminated by using incident current wave to locate faults, and the accuracy of fault location is improved. © Institution of Engineering and Technology. All rights reserved.

关键词： Electric lines

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

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IOP Conference Series: Earth and Environmental Science 2021年第2期651卷

作者： Ruifeng Zhang Xiaobing Xiao Hao Tian Yongxiang Cai Yu Fu Hongliu He 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

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 collaboration, the lean management of the distribution station area is realized.

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