نتایج جستجو برای: electric load dispatching
تعداد نتایج: 287712 فیلتر نتایج به سال:
From the point of view of network operation, the lack of proper management of electric vehicles in the network can change the load profile of the network and causes numerous peaks and valleys in it, which is not appropriate from the perspective of network operators. In this paper, an intelligent charging strategy in which according to the information recorded by drivers such as the length of th...
In this paper, we study decentralized probabilistic job dispatching and load balancing strategies which optimize the performance of heterogeneous multiple computer systems. We present a model to study a heterogeneous multiple computer system with a decentralized stochastic job dispatching mechanism, where nodes are treated as M/G/1 servers. We discuss a way to implement a virtual centralized jo...
Data warehousing hastens the process of retrieving information needed for decision making. The spider web diversity between both end-users and data marts increases traffic, load, and delay in accessing the requested information. In this research, we have developed a query dispatching tool facilitating the access to the information within data marts, eventually data warehouse in fast, and an org...
Microgrid and smart electrical grids are among the new concepts in power systems that support new technologies within themselves. Electric cars are some advanced technologies that their optimized use can increase grid efficiency. The modern electric cars sometimes, through the necessary infrastructure and proper management, can serve as an energy source to supply grid loads. This study was cond...
Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...
To date, the study of dispatching or load balancing in server farms has primarily focused on the minimization ofresponse time. Server farms are typically modeled by a front-end router that employs a dispatching policy to routejobs to one of several servers, with each server scheduling all the jobs in its queue via Processor-Sharing. However,the common assumption has been that al...
Short-term load forecasting is a significant component of safe and stable operations economical reliable dispatching power grids. Precise can help to formulate reasonable effective coordination plans implementation strategies. Inspired by the spiking mechanism neurons, nonlinear neural P (NSNP) system, parallel computing model, was proposed. On basis SNP systems, this study exploits fresh short...
This paper proposes a method calculating total transfer capability(TTC) and critical voltage using static power model based on real-time recording data, traditional power system dispatching calculation doesn’t consider load model, which does not agree with the real, this paper compares TTC and critical voltage under different load model and P-V curves, on which load model has a strong influence...
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