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Novel assisted cough system based on simulating cough airflow dynamics

Bio-Design and Manufacturing 2021年第3期4卷 479-489页

作者： Shuai Ren Jinglong Niu Maolin Cai Liming Hao Yan Shi Weiqing Xu Zujin Luo School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China North Automatic Control Technology Institute Taiyuan 030006China Department of Respiratory and Critical Care Medicine Beijing Engineering Research Center of Respiratory and Critical Care MedicineBeijing Institute of Respiratory MedicineBeijing Chao-Yang HospitalCapital Medical UniversityBeijing 100043China

Cough is a defensive behavior that protects the respiratory system from infection and clears airway *** airflow dynamics have been analyzed by a variety of mathematical and experimental *** this paper,the cough airflow dynamics of 42 subjects were obtained and *** identification model based on piecewise Gauss function for cough airflow dynamics is proposed through the dimensionless method,which could achieve over 90%identification ***,an assisted cough system based on pneumatic flow servo system is *** vacuum situation and feedback control are used to increase the simulated peak cough flow rate,which are important for airway secretion clearance and to avoid airway collapse,*** simulated cough peak flow could reach 5 L/s without the external assistance such as manual pressing,patient cooperation and other ***,the backstepping control is developed to generate a simulated cough airflow that closely mimics the natural cough airflow of *** assisted cough system opens up wide opportunities of practical application in airway secretion clearance for critically ill patients with COVID 2019 and other pulmonary diseases.

关键词： Airflow dynamics Pneumatic system Simulated cough Model identification Airway secretion clearance

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Risk-Aware Objective-Based Forecasting in Inertia Management

arXiv

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arXiv 2023年

作者： Zhang, Haipeng Li, Ran Chen, Yan Chu, Zhongda Sun, Mingyang Teng, Fei The Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Non-Carbon Energy Conversion Utilization Institute Shanghai Jiao Tong University Shanghai200240 China The State Key Laboratory of Industrial Control Technology The College of Control Science and Engineering Zhejiang University Hangzhou310027 China The Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom

-The objective-based forecasting considers the asymmetric and non-linear impacts of forecasting errors on decision objectives, thus improving the effectiveness of its downstream decision-making process. However, existing objective-based forecasting methods are risk-neutral and not suitable for tasks like power system inertia management and unit commitment, of which decision-makers are usually biased toward risk aversion in practice. To tackle this problem, this paper proposes a generic risk-aware objective-based forecasting method. It enables decision-makers to customize their forecasting with different risk preferences. The equivalence between the proposed method and optimization under uncertainty (stochastic/robust optimization) is established for the first time. Case studies are carried out on a Great Britain 2030 power system with system operational data from National Grid. The results show that the proposed model with deterministic optimization can approximate the performance of stochastic programming or robust optimization at only a fraction of their computational cost. © 2023, CC BY.

关键词： Forecasting

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Dynamic Phasor Estimation Method Considering False Data Injection Attack

Dynamic Phasor Estimation Method Considering False Data Inje...

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

作者： Qingsheng Zhao Yifeng Liu Dakai Zhao Dingkang Liang Zun Guo Shanxi Key Laboratory of Power System Operation and Control College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China State Grid Economic and Technological Research Institute Co. Ltd. Beijing China

ISBN: (纸本)9781665434263

When the smart grid data acquisition system is attacked by false data injection, because the measured data is tampered, the wrong state estimation will lead to the wrong action of the smart grid controller. This paper proposes a dynamic phasor estimation method considering false data injection attack. Firstly, the electrical signal model suitable for dynamic conditions is established by Taylor series expansion of the electrical signals which include harmonic, noise and other conditions; Then, the method which based on the double suboptimal-scaling factor strong tracking Kalman filter algorithm (DSTKF) and Euclidean distance is used to detect, track and estimate the phasor; Finally, the proposed estimation method is used to simulate the electrical signal with noise and false data attack. Besides, the signal of IEEE 39-bus system is also estimated with this method. The results show that this proposed method can not only detect the false data attack and mutation in electrical signal, but also has high estimation accuracy and tracking ability for dynamic phasor.

关键词： power measurement Heuristic algorithms power system dynamics Detectors Euclidean distance system integration Taylor series

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Robust optimal scheduling for distributed energy storage system considering uncertain frequency change

Robust optimal scheduling for distributed energy storage sys...

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CIRED 2022 Shanghai Workshop

作者： Y. Cao H. Zhang X. Zhang C. Li H. Qin Z. Gao Centre for Electric Power and Energy Department of Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan People's Republic of China

With the rapid development of distributed renewable energies, the number and severity of the active power disturbances that affect frequency stability have increased. The distributed energy storage system (DESS) characterized by high flexibility and dispatchability can provide distribution network with frequency regulation services after disturbances. This paper proposes a robust optimal scheduling approach for DESSs considering uncertain frequency changes. The concept of the probabilistic transient frequency deviation security margin (PTFDSM) is presented to quantify the power deficit that the system can tolerate. And an extended system frequency response model is employed to obtain the PTFDSM. Then, a robust optimization model is established to minimize the network loss and maintain the operating point of DESSs within the PTFDSM for frequency stability. The AC power flow constraints are introduced into the optimization model. And the second-order cone relaxation method is used to deal with the nonlinear constraints through relaxation variables. Based on the column-andconstraint generation method, the relaxed second-order cone optimization model is solved, and scheduled DESS power is attained. A case study is carried out to verify the effectiveness of the proposed approach.

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Optimal capacity allocation of pumped storage reservoirs considering the synergistic effect of small hydropower and agricultural irrigation in river basins

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Dianli Xitong Baohu yu Kongzhi/power system Protection and control 2025年第11期53卷 1-13页

作者： Zhong, Hao Liu, Haoyu Shi, Yu Wang, Qiujie Zhang, Yonghao Wang, Xinghuo Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydro-power Station China Three Gorges University Yichang443002 China College of Electrical Engineering & New Energy China Three Gorges University Yichang443002 China State Grid Hunan Electric Power Company Changsha Power Supply Branch Changsha410035 China

In order to alleviate the shortage of flexible resources in power systems in remote areas and to reduce economic losses caused by the fluctuating and uncertain output of wind and solar power stations, this paper proposes an optimal capacity allocation method for pumped storage reservoirs considering the synergistic effect of small hydropower and agricultural irrigation station in river basins. First, the method fully utilizes the idle capacity of agricultural irrigation stations during different seasons and integrates them with small hydropower plants to form a pumped storage aggregation unit. Then, the uncertainties of wind, solar and hydro power in different seasons are modelled using scenario sets. Based on Gale-Shapley bilateral matching mechanism, wind and solar power stations act as the selection party and aim to maximize economic returns in the optimization model. The pumped storage aggregation unit acts as the receiving party and a two-layer optimal allocation model is established. The upper layer focuses on maximizing annual profits to determine reservoir capacity allocation, while the lower layer targets maximizing aggregation benefits to optimize the aggregated system. Finally, the combination of particle swarm optimization algorithm and CPLEX solver is utilized to solve the model. Case studies show that the proposed method can fully leverage the flexible regulation capability of the pumped storage aggregation unit and effectively cope with the volatility and uncertainty of wind and solar output. © 2025 power system Protection and control Press. All rights reserved.

关键词： Hydro energy

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Low-Carbon Dispatch Optimization of Multi-energy complementary Integrated Energy system Combining Wind power/ Photovoltaic/Carbon capture

Low-Carbon Dispatch Optimization of Multi-energy complementa...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Xiaofeng Zhang Qian Ai Shumin Sun Department of Electrical Engineering Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai Jiao Tong University Shanghai China Departmaent of power distribution State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9781728119496

Under the low-carbon background, to reduce the carbon emissions of the integrated energy system (IES) and promote the consumption of renewable energy, a strategy of integrated low-carbon optimal dispatch for wind, solar, and carbon capture is proposed. First of all, this paper establishes a joint dispatch model with wind power, photovoltaic, and carbon capture units, which improves energy efficiency and maximizes operational benefits. Secondly, IES is considered to participate in the carbon trading market. Then a low-carbon optimal dispatch model for multi-energy complementarity including wind turbines (WT), photovoltaic (PV), carbon capture, power-to-gas(P2G), combined cooling heating and power (CCHP), and heat storage, is established. Considering physical constraints such as energy conversion and equipment startup and shutdown, the optimization minimizes the economic cost of the low-carbon operation of the system. Finally, the gurobi solver is employed to solve the optimal scheduling model. The results prove that the proposed method can effectively achieve the carbon reduction of IES, and promote wind and solar consumption.

关键词： Photovoltaic systems Renewable energy sources Costs Wind energy Carbon dioxide Emissions trading Wind power generation

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Robustly optimal operation in inverter-dominant microgrids facilitating small-signal stability

Robustly optimal operation in inverter-dominant microgrids f...

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12th International Conference on Renewable power Generation (RPG 2023)

作者： J. Wang X. Zheng Y. Hou N. Tai S. Huang J. Zhang J. Meng Department of Electrical and Electronic Engineering The University of Hong Kong People's Republic of China Key Laboratory of Control of Power Transmission and Conversion (Ministry of Education) Shanghai People's Republic of China State Grid Shanghai Municipal Electric Power Company Chongming Power Supply Company Shanghai People's Republic of China

Towards the carbon neutrality, more renewable energy sources (RESs) are integrated to the power system whose inevitably intermittent nature and sudden fluctuations may jeopardize the system stability. Therefore, the conventional robustly optimal energy management alone is not sufficient because the negative impact on the small-signal should be mitigated. This paper proposes a robust optimization model which aims to minimize the total cost without violating the stability constraint with incorporating adjustable droop gains in distributed energy resources (DERs) interfaced droop controlled inverters. An hourly optimal power flow problem with the RESs interval predictions is designed to guarantee the robustness against the uncertainties of RESs. With a polyhedral uncertain set, the proposed model can be solved by the Benders decomposition based approach with a series of analytical stability sensitivity cuts. These cuts are applied to enforce the stability to satisfy the corresponding constraints. Simulation results on the 33-bus microgrid reveal that compared to benchmarking approaches, the proposed model facilitates the small-signal stability with relatively low cost against RESs uncertainties.

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Research on Joint operation of Wind and Solar Storage system Based on Genetic Algorithm

SSRN

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SSRN 2022年

作者： Lv, You Qin, Ruijun Niu, Yuguang Zhang, Yanfei Zhang, Lei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China School of Control and Computer Engineering North China Electric Power University Changping District Beijing102206 China

With the large-scale integration of renewable energy sources such as wind power and photovoltaics, how to use energy storage systems to coordinate and control them has become an indispensable research content. After in-depth research on the output characteristics of wind power and photovoltaic power in a certain area of Ulanqab City, a strategy that can smooth the fluctuation of new energy output and configure energy storage, which the active power output fluctuates as little as possible and meets the national new energy grid-connected fluctuation index. The required parameters are obtained by solving the simulation through the measured data and genetic algorithm in the region, thus proving the effectiveness of the proposed strategy. © 2022, The Authors. All rights reserved.

关键词： Solar power generation

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Short Circuit Ratio Index Considering HVDC Transient Characteristics

Short Circuit Ratio Index Considering HVDC Transient Charact...

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Asia Conference on Energy and Environment engineering (ACEEE)

作者： Fan Li Haoyang Yu Zhongjian Liu Dong Liu Kexin Zhang Cheng Zhang Mingjie Wang Yixing Zhang De Zhang Xiaofan Su State Grid Economic and Technological Research Institute Co. Ltd. Beijing China Power Dispatching Control Center of Guizhou Power Grid Co. Ltd. Guiyang China The School of Electrical Engineering Xi’an Jiaotong University Xi’an China Hunan Key Laboratory of Energy Internet Supply-Demand and Operation State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute Changsha China

HVDC systems are extensively utilized due to their numerous advantages. However, these systems encounter significant challenges in terms of transient voltage stability during fault occurrences. Therefore, there is a pressing need for an improved evaluation method to assess the transient voltage level in multi-infeed systems. To address this issue, this paper proposes a novel index, namely the transient multi-infeed short circuit ratio (TMSCR), based on the short circuit ratio (SCR) index, which takes into account the transient voltage characteristics of the system. The paper proceeds as follows: Firstly, it introduces the definition of existing indicators. Secondly, it incorporates transient active or reactive power to derive an index that considers the transient characteristics. Finally, it compares the characteristics of the two short-circuit ratio indexes, and the simulation results validate the accuracy of the proposed indicators.

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Stability Evaluation and Frequency Drift Analysis of Sub-Synchronous Oscillation in Grid-Connected PMSG Wind Turbines

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IET Generation, Transmission & Distribution 2025年第1期19卷

作者： Gangui Yan Cheng Yang Yupeng Wang Lin Yue Fu Guo Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology Department of Electrical Engineering Northeast Electric Power University Jilin China

The sub-synchronous oscillation (SSO) in grid-connected permanent magnet synchronous generators (PMSG) is a complex dynamic behaviour influenced by multiple factors. The phenomenon of SSO has the characteristic of frequency drift. Previous studies have mainly focused on the SSO stability, without further explanation of the reasons for frequency drift in SSO. In this paper, a SISO transfer function model is constructed to analyse the SSO characteristics of grid-connected PMSG. The study quantitatively analyses the impacts of grid strength, operating conditions and voltage/current control parameters on system stability and oscillation frequency based on amplitude/phase margin. It reveals the triggering mechanism of SSO instability in weak grid strength and characterises the constraining relationship between grid strength/operating conditions and the stable operational region of the system. The results demonstrate that variations in SSO frequency are predominantly influenced by control parameter settings, with a measurable variation range of up to 26.7 Hz. Finally, the effectiveness of the proposed model and the theoretical analysis results are verified through simulations.

关键词： frequency drift power system dynamic stability power system stability stability

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