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Smart Grids network in conjunction with incentive based demand response programs have forced the policy makers and power supplying agencies to prioritize initiatives for future developments in a liberalized power market. To fully augment the demand side participation, during emergency or peak hours, has put the wholesale dealers, retailers and utilities in a difficult position. This article provides...
The voting system is set of rules which define how the desire of people may be express and how results may be achieved from it. For this purpose an electronic voting machine EVM is introduced in this paper which replaced conventional methods of voting i-e manual voting. Proposed machine in this paper is faster, efficient, and reliable and error free as compared to manual voting system which is slower,...
The parameter sensitivity is a major cause of AC drives to stop working optimally. This paper looks into fractional order controller for Interior Permanent Magnet motors. The interior permanent magnet motors have become more demanding in hybrid vehicles, for which the parameter (resistance, inductance, magnetization of permanent magnets) drift is a common cause of degradation of drive due to rise...
Smart grid is the future for the conventional power systems. In Pakistan, many energy projects are completed and some of them are under still in implementation phase. The aim of this paper is to highlight the prosperous developments in energy sector for the smart grid implementation. The basic objective that is targeted is to have sufficient energy production as compared to connected load at the distribution...
In deregulated power market, the variation of demand curves with the varying weather parameters is a probabilistic problem. The weather parameters, such as temperature, humidity, and precipitation affect the load requirements in non-autonomous wide area smart grid system. We modeled the relationships of the load with aforementioned weather parameters. Moreover, various correlation models, such as...
In this paper, we study the problem of optimizing the error generated in the allocation of processing elements to tasks, based on real-time scheduling. The makespan of the tasks to be scheduled is the same, in the computational grid. Tasks to be assigned to processing elements are randomly generated and are mapped to processors. Scheduling is done, considering real-time environment and mapping is...
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