in this paper, a combinational optimization algorithm is introduced to obtain the best size and location of static compensator (statcom) in power systems. its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. the objective of the proposed algorithm is firstly to pr...

Real-time stream processing is essential for many real-life stream-based applications. Systems designed to run such applications must be prepared to operate under overloaded conditions. Existing load shedding techniques are not suitable for processing data streams with stringent timing constraints because their tuple dropping policies may violate application deadlines in an uncontrolled way. To...

Among different protection schemes that save power system stability against a variety of disturbances, load shedding is considered as an effective and last-resort tool to avoid voltage instability. This paper proposes a special protection system design to minimize the load curtailments necessary to restore the equilibrium of operating point with relaxation of both steady state and dynamic restr...

We consider the optimal load-shedding problem in electric power systems where a number of transmission lines are to be taken out of service. The nonlinear power flow equations and the binary decision variables lead to a mixed-integer nonlinear program. We show that the load-shedding problem has separable structure that can be exploited by using the alternating direction method of multipliers. W...

The arrival rate of tuples in a data stream can be unpredictable and bursty. Many stream-based applications have Quality of Service (QoS) requirements that need to be satisfied by the underlying stream processing system. In order to avoid violating predefined QoS requirements during temporary overload periods, a load shedding strategy is necessary and critical for a data stream management syste...

Network monitoring applications are prone to continuous overload situations due to the extreme and highly variable data rates of network traffic, traffic anomalies and network attacks. These overload situations can have a severe and unpredictable impact on the accuracy of monitoring applications, right when they are most valuable to network operators. Load shedding via traffic sampling has rece...