In this paper, restorations for both voltage and frequency in the droop-controlled inverter-based islanded microgrid (MG) are addressed. A distributed finite-time control approach is used restoration which enables voltages at all generations (DGs) to converge reference value finite time, thus, design can be separated. Then, a consensus-based proposed restoration, subject certain input constraints. Our strategies implemented on local DGs, no central controller required contrast existing...

In this paper, we present a distributed economic dispatch (ED) strategy based on projected gradient and finite-time average consensus algorithms for smart grid systems. Both conventional thermal generators wind turbines are taken into account in the ED model. By decomposing centralized optimization optimizations at local agents, scheme is proposed each agent to iteratively estimate solution of problem manner with limited communication among neighbors. It theoretically shown that estimated...

This paper presents a distributed cooperative control scheme for voltage unbalance compensation (VUC) in an islanded microgrid (MG). By letting each generator (DG) share the effort cooperatively, unbalanced sensitive load bus (SLB) can be compensated. The concept of contribution level (CL) is first proposed local DG to indicate its ability. A two-layer secondary architecture consisting communication layer and designed DG. totally strategy involving information sharing exchange proposed,...

In this paper, a new hierarchical decentralized optimization architecture is proposed to solve the economic dispatch problem for large-scale power system. Conventionally, such solved in centralized way, which usually inflexible and costly computation. contrast algorithms, paper we decompose into local problems. Each generator only solves its own iteratively, based on cost function generation constraint. An extra coordinator agent employed coordinate all agents. Besides, it also takes...

Dynamic voltage scaling is used in energy-limited systems as a means of conserving energy and prolonging their life. We consider setting which the tasks performed by such system are nonpreemptive aperiodic. Our objective to control processing rate over different so minimize subject hard real-time constraints. Under any given task scheduling policy, we prove that optimal solution offline version problem can be efficiently obtained exploiting structure sample paths, leading new dynamic...

Automated analysis of aviation safety reports is helpful in effectively preventing future accidents and improving emergency response capabilities. To date, there are no publicly available large-scale text similarity datasets, which hinders the successful application NLP techniques domain. We present an automatically created dataset consisting more than 500,000 pairs for fine-tuning pretrained language models. Since technical terms have specialized meanings that differ from everyday language,...

Some stochastic models like Markov decision process (MDP) are used to model the dialogue manager. MDP-based system degrades fast when uncertainty about user’s intention increases. We propose a novel based on partially observable (POMDP). use hidden states and user intentions as state set, parser results low-level information observation domain actions repair action set. Here is extracted from different input modals using Bayesian networks. Because of limitation exact algorithms, we focus...

We consider discrete event systems involving tasks with real-time constraints and seek to control processing times so as minimize a cost function subject each task meeting its own constraint. When are processed over single stage, it has been shown that there structural properties of the optimal state trajectory lead very efficient solutions such problems. multiple stages end-to-end constraints, these no longer hold obvious extensions known. multi-stage problem not only stage-dependent but...

Document image dewarping is a crucial task in computer vision with numerous practical applications. The control point method, as popular approach, has attracted attention due to its simplicity and efficiency. However, inaccurate prediction varying background noises deformation types can result unsatisfactory performance. To address these issues, we propose robust document approach for real-life images, namely DocReal, which utilizes Enet effectively remove noise an attention-enhanced (AECP)...

Dynamic voltage scaling is used in power-limited systems such as sensor networks a means of conserving energy and prolonging their life. We consider setting which the tasks performed by system are nonpreemptive, aperiodic have uncertain arrival times. Our objective to control processing rate over different so minimize subject hard real-time constraints. prove that solution this problem reduces two simpler problems can be efficiently solved, leading new on-line dynamic algorithm. This...

Designing a robust air transportation network is an ongoing research effort that seeks to improve the extent of being connected against failures and attacks. The total effective resistance can be promising measure for robustness as demonstrated by case studies conducted in this paper. To enhance networks, we consider solve flight route selection problem which set routes chosen from candidate minimize utility function defined resistance. Since it integer nonlinear programming problem, balance...

It has been shown that by using appropriate channel coding schemes in wireless environments, transmission energy can be significantly reduced controlling the packet rate. This paper seeks optimal solutions for downlink control problems, motivated this observation and need to minimize consumption real-time networks. Our problem formulation deals with a more general setting than authored Gamal et al., which MoveRight algorithm is proposed. The an iterative converges solution. We show even...