This paper proposes an adaptive grid impedance shaping approach, implemented through a variable structure virtual control strategy (VS-VIS), to improve the power flow of grid-forming converters (GF-PC). In this strategy, equivalent estimator (EGIE) evaluates feeder X/R ratio determine required reach objective. Besides, definition also considers converter rating ensure system’s feasibilit...

Dynamic load balancing is considered in the context of adaptive multilevel methods for partial diierential equations on networks of workstations or PCs. An approach that periodically repartitions the grid is taken. A partitioning algorithm based on the reenement tree of the adaptive grid is presented and analyzed in terms of the most important properties of grid partitioners.

The Grid provides facilities that support the coordinated use of diverse resources, and consequently, provides new opportunities for wide-area query processing. However, Grid resources, as well as being heterogeneous, may also exhibit unpredictable, volatile behaviour. Thus, query processing on the Grid needs to be adaptive, in order to cope with evolving resource characteristics, such as machi...

Abstract. This paper gives an interpretation of the concept of equidistribution in the context of adaptive grid generation for multidimensional problems. It is shown that the equidistribution principle cannotbe satisfied throughout the domain of the problem and, based on this recognition, a local equidistribution principle is developed. A discrete formulation is described for grid generation in...

Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the feature space can be discretized and ansatz functions centered on grid points can be used. This allows for classification algorithms scaling only linearly in the number of training data points, enabling to learn from da...

In this paper we study adaptive mesh refinement (AMR) for elliptic and hyperbolic systems. We use the Asynchronous Fast Adaptive Composite Grid Method (AFACx) [4], a parallel algorithm based upon the of Fast Adaptive Composite Grid Method (FAC) [5] as a test case of an adaptive elliptic solver. For our hyperbolic system example we use TVD and EN0 schemes for solving the Euler and MHD equations ...

In this paper we describe an adaptive Cartesian grid method for modeling timedependent inviscid compressible ow in irregular regions. In this approach a body is treated as an interface embedded in a regular Cartesian mesh. The single grid algorithm uses an unsplit second-order Godunov algorithm followed by a corrector applied to cells at the boundary. The discretization near the uid-body interf...

An adaptive grid model is being developed to reduce the resolution-related uncertainty in air quality predictions. By clustering the grid nodes in regions where errors in pollutant concentrations would potentially be large, the model is expected to generate much more accurate results than its fixed, uniform grid counterparts. The repositioning of grid nodes is performed automatically using a we...

In grid environment, jobs may be scheduled to multiple machines across different administrative domains. However, grid security is a main hurdle to make the job scheduling decision secure, reliable and fault tolerant. A security-aware parallel and independent job scheduling algorithm in grid computing environment based on adaptive job replications was proposed. In risky and failure-prone grids,...