in this article, an effective method to control a power system during emergency conditions is presented. based on fuzzy linear programming (flp), a new technique is developed to solve the load shedding and generation reallocation (lsgr) optimization problem. the objective function consists of terms of load curtailments and deviations in generation schedules. the constraints are power system var...

The paper presents a new anticipatory load shedding protection scheme implemented centrally from the energy control centre for loadability enhancement. Most of the schemes available in literature for this purpose are based on information at the current operating condition which are blind to load increase scenario and associated switchings in voltage controlled buses. The proposed scheme anticip...

Data stream is continuous flow of data, which necessitates load shedding for data stream processing system. Here we study overload handling for frequent pattern mining indata streams. Here in this paper load shedding use frequent pattern matching algorithm i.e priority, transaction and attribute in overload situation. The heavy workload or continues stream of the mining algorithm lies mostly in...

This paper presents a linear programming (LP) based approach for the alleviation of line overloads by generation rescheduling and load shedding. The algorithm is based on solving a linearized set of optimal equations. The objective function for generation rescheduling is to minimize the linearized system operating cost while satisfying the system equality and inequality constraints. In respect ...

In this study, a static method which makes best load shedding scheme to reach a maximum voltage security margin, prevent voltage instability and emendation of power system frequency during generation unit outage is developed. Minimization of total load interruption cost with considering frequency emendation constraint, Voltage security margin, and alleviating transmission line over loadings hav...

Under the smart grid environment, demand response resources (DRRs) are introduced as a virtual power plant to enhance power system adequacy. DRRs often fail to reduce their load due to some external factors. In this paper, a reliability model of a DRR is constructed as multi-state conventional generation units, where the probability, frequency of occurrence, and departure rate of each state can...

In this paper, a supervisory controller is proposed to manage the power flow in a hybrid AC/DC micro-grid for both grid-connected and disconnected modes. When the hybrid AC/DC micro-grid is connected to the utility grid, power surplus or shortage leads to power trade between the micro-grid and the utility grid. In the grid-disconnected mode, the renewable power sources (wind and solar generatio...

RNA remains the most informative and accurate biomarker for human immunodeficiency virus type 1 load diagnostics and for surveillance of drug resistance markers. Viral load testing by nucleic acid amplification currently is a complex and expensive test that is restricted to centralized laboratory testing. Successful extension of centralized viral load testing to rural or remote settings is a ma...

Monitoring and mining real-time network data streams are crucial operations for managing and operating data networks. The information that network operators desire to extract from the network traffic is of different size, granularity and accuracy depending on the measurement task (e.g., relevant data for capacity planning and intrusion detection are very different). To satisfy these different d...

Data stream management systems may be subject to higher input rates than their resources can handle. In this case, results get delayed and Quality of Service (QoS) at system outputs may fall below acceptable levels. Load shedding addresses this problem by allowing data loss in exchange for reduced latency. Drop operators are placed at carefully chosen points in a query plan, in order to relieve...