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Determining voltage phase angles of buses in a Smart Grid is a critical operation in the power system state estimation process. Invalid state estimate of strategic buses can cause a severe socioeconomic impact. In this paper, we present an optimal protection scheme to protect the voltage phase angle estimation of strategic buses in a Smart Grid against data spoofing attacks. We discuss the limitations...
Demand Response (DR) is a widely used technique to minimize the peak to average consumption ratio during high demand periods. We consider the DR problem of achieving a given curtailment target for a set of consumers equipped with a set of discrete curtailment strategies over a given duration. An effective DR scheduling algorithm should minimize the curtailment error - the difference between the targeted...
Demand Response (DR) events are initiated by utilities during peak demand periods to curtail consumption. They ensure system reliability and minimize the utility's expenditure. Selection of the right customers and strategies is critical for a DR event. An effective DR scheduling algorithm minimizes the curtailment error which is the absolute difference between the achieved curtailment value and the...
Energy efficiency has become a key performance metric in implementing application on FPGA. Several parameters such as parallelism, data layout, data re-usability etc. determine energy efficiency. Therefore a parameterized architecture is required to analyze the trade-offs and select the most energy-efficient design. However, increasing the number of parameters exponentially increases the number of...
Energy efficiency as a metric has gained significant importance in the recent years. The goal of the TAPAS project is to discover and develop revolutionary approaches that will generate energy-efficient designs on embedded computing systems. One suitable target platform for implementing energy-efficient algorithms is the FPGA, due to its low power consumption, high performance and efficiency, and...
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