The safety hazards may be caused by power grid operators not wearing insulating gloves according to regulations for live electrical working. Additionally, existing methods for detecting the wearing status of insulatin...
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In this paper,we present a continuous-time algorithm with a dynamic event-triggered communication(DETC)mechanism for solving a class of distributed convex optimization problems that satisfy a metric subregularity *** ...
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In this paper,we present a continuous-time algorithm with a dynamic event-triggered communication(DETC)mechanism for solving a class of distributed convex optimization problems that satisfy a metric subregularity *** proposed algorithm addresses the challenge of limited bandwidth in multi-agent systems by utilizing a continuous-time optimization approach with ***,we prove that the distributed event-triggered algorithm converges exponentially to the optimal set,even without strong convexity ***,we provide a comparison example to demonstrate the efficiency of our algorithm in communication resource-saving.
In the DC microgrid,the lack of inertia and damping in power electronic converters results in poor stability of DC bus voltage and low inertia of the DC microgrid during fluctuations in load and photovoltaic *** addre...
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In the DC microgrid,the lack of inertia and damping in power electronic converters results in poor stability of DC bus voltage and low inertia of the DC microgrid during fluctuations in load and photovoltaic *** address this issue,the application of a virtual synchronous generator(VSG)in grid-connected inverters control is referenced and proposes a control strategy called the analogous virtual synchronous generator(AVSG)control strategy for the interface DC/DC converter of the battery in the ***,a flexible parameter adaptive control method is introduced to further enhance the inertial behavior of the AVSG ***,a theoretical analysis is conducted on the various components of the DC microgrid,the structure of analogous virtual synchronous generator,and the control structure’s main parameters related to the DC microgrid’s inertial ***,the voltage change rate tracking coefficient is introduced to adjust the change of the virtual capacitance and damping coefficient flexibility,which further strengthens the inertia trend of the DC ***,a small-signal modeling approach is used to analyze the approximate range of the AVSG’s main parameters ensuring system ***,conduct a simulation analysis by building the model of the DC microgrid system with photovoltaic(PV)and battery energy storage(BES)in MATLAB/*** results from different scenarios have verified that the AVSG control introduces fixed inertia and damping into the droop control of the battery,resulting in a certain level of inertia ***,the additional adaptive control strategy built upon the AVSG control provides better and flexible inertial support for the DC microgrid,further enhances the stability of the DC bus voltage,and has a more positive impact on the battery performance.
This paper introduces the Particle SwarmOptimization(PSO)algorithmto enhance the LatinHypercube Sampling(LHS)*** key objective is to mitigate the issues of lengthy computation times and low computational accuracy typi...
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This paper introduces the Particle SwarmOptimization(PSO)algorithmto enhance the LatinHypercube Sampling(LHS)*** key objective is to mitigate the issues of lengthy computation times and low computational accuracy typically encountered when applying Monte Carlo Simulation(MCS)to LHS for probabilistic trend *** PSOmethod optimizes sample distribution,enhances global search capabilities,and significantly boosts computational *** validate its effectiveness,the proposed method was applied to IEEE34 and IEEE-118 node systems containing wind *** performance was then compared with Latin Hypercubic Important Sampling(LHIS),which integrates significant sampling with theMonte *** comparison results indicate that the PSO-enhanced method significantly improves the uniformity and representativeness of the *** enhancement leads to a reduction in data errors and an improvement in both computational accuracy and convergence speed.
The aim is to address the limitations of conventional sliding mode control for PMSM, namely the problems of sliding mode oscillation, load disturbance, and poor control accuracy. An improved sliding mode control strat...
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In light of the prevailing issue that the existing convolutional neural network(CNN)power quality disturbance identification method can only extract single-scale features,which leads to a lack of feature information a...
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In light of the prevailing issue that the existing convolutional neural network(CNN)power quality disturbance identification method can only extract single-scale features,which leads to a lack of feature information and weak anti-noise performance,a new approach for identifying power quality disturbances based on an adaptive Kalman filter(KF)and multi-scale channel attention(MS-CAM)fused convolutional neural network is *** and composite-disruption signals are generated through *** adaptive maximum likelihood Kalman filter is employed for noise reduction in the initial disturbance signal,and subsequent integration of multi-scale features into the conventional CNN architecture is *** multi-scale features of the signal are captured by convolution kernels of different sizes so that the model can obtain diverse feature *** attention mechanism(ATT)is introduced to adaptively allocate the extracted features,and the features are fused and selected to obtain the new main *** Softmax classifier is employed for the classification of power quality ***,by comparing the recognition accuracy of the convolutional neural network(CNN),the model using the attention mechanism,the bidirectional long-term and short-term memory network(MS-Bi-LSTM),and the multi-scale convolutional neural network(MSCNN)with the attention mechanism with the proposed *** simulation results demonstrate that the proposed method is higher than CNN,MS-Bi-LSTM,and MSCNN,and the overall recognition rate exceeds 99%,and the proposed method has significant classification accuracy and robust classification *** achievement provides a new perspective for further exploration in the field of power quality disturbance classification.
For the multicopter with more than four rotors,the rotor fault information is unobservable,which limits the applica-tion of active fault-tolerant on *** paper applies an existing fault-tolerant control method for quad...
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For the multicopter with more than four rotors,the rotor fault information is unobservable,which limits the applica-tion of active fault-tolerant on *** paper applies an existing fault-tolerant control method for quadcopter to multi-copter with more than four *** relying on rotor fault information,this method is able to stabilize the multicopter with multiple rotor failures,which is validated on the hexacopter and octocopter using the hardware-in-the-loop ***-tionally,the hardware-in-the-loop simulations demonstrate that a more significant tilt angle in flight will inhibit the maximum tolera-ble number of rotor failures of a *** more signifi-cant aerodynamic drag moment will make it difficult for the mul-ticopter to regain altitude control after rotor failure.
In this paper,the input-to-state stability(ISS) of continuous-time switched linear system with delay under asynchronous switching is studied based on the average dwell time(ADT). Firstly,multiple Lyapunov-Krasovskii(L...
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ISBN:
(纸本)9789887581581
In this paper,the input-to-state stability(ISS) of continuous-time switched linear system with delay under asynchronous switching is studied based on the average dwell time(ADT). Firstly,multiple Lyapunov-Krasovskii(L-K) functional are constructed for the synchronous and asynchronous cases,respectively,the ISS criterion for continuous-time switched systems with delay is given. Secondly,considering asynchronous switching,the energy function of the switched system is considered to increase in the asynchronous interval,and the switching rule based on ADT is introduced,the attenuation of synchronous intervals can offset the divergence of states. Finally,the result is extended to situations where disturbances do not exist. An illustrative example is presented to support our new results.
In order to fully utilize the regenerative braking energy of metro trains and stabilize the metro DC traction busbar voltage,a hybrid regenerative braking energy recovery system with a dual-mode power management strat...
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In order to fully utilize the regenerative braking energy of metro trains and stabilize the metro DC traction busbar voltage,a hybrid regenerative braking energy recovery system with a dual-mode power management strategy is ***,the construction of the hybrid regenerative braking energy recovery system is ***,based on the power demand of low-voltage load in metro stations,a dual-mode power management strategy is proposed to allocate the reference power of each system according to the different working conditions,and the control methods of each system are ***,the correctness and effectiveness of the dual-mode strategy are verified through simulation,and the proposed braking energy utilization scheme is compared with other singleform utilization *** results illustrate that the hybrid system with the dual-mode strategy can effectively recycle the regenerative braking energy of metro train and inhibit the busbar voltage fluctuation;the proposed braking energy utilization scheme has certain advantages on energy recovery and DC bus voltage stabilization compared with other single-form schemes;the proposed power management strategy can correctly allocate the reference power of each system with a lower construction cost.
With the current integration of distributed energy resources into the grid,the structure of distribution networks is becoming more *** complexity significantly expands the solution space in the optimization process fo...
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With the current integration of distributed energy resources into the grid,the structure of distribution networks is becoming more *** complexity significantly expands the solution space in the optimization process for network reconstruction using intelligent ***,traditional intelligent algorithms frequently encounter insufficient search accuracy and become trapped in local *** tackle this issue,a more advanced particle swarm optimization algorithm is *** address the varying emphases at different stages of the optimization process,a dynamic strategy is implemented to regulate the social and self-learning *** Metropolis criterion is introduced into the simulated annealing algorithm to occasionally accept suboptimal solutions,thereby mitigating premature convergence in the population optimization *** inertia weight is adjusted using the logistic mapping technique to maintain a balance between the algorithm’s global and local search *** incorporation of the Pareto principle involves the consideration of network losses and voltage deviations as objective functions.A fuzzy membership function is employed for selecting the *** analysis is carried out on the restructuring of the distribution network,using the IEEE-33 node system and the IEEE-69 node system as examples,in conjunction with the integration of distributed energy *** findings demonstrate that,in comparison to other intelligent optimization algorithms,the proposed enhanced algorithm demonstrates a shorter convergence time and effectively reduces active power losses within the ***,it enhances the amplitude of node voltages,thereby improving the stability of distribution network operations and power supply ***,the algorithm exhibits a high level of generality and applicability.
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