This paper proposes a methodology for the design of automatic load shedding against long-term voltage instability. In a first step, a set of training scenarios is set up, corresponding to various operating conditions and disturbances. Each scenario is analyzed to determine the minimal load shedding which stabilizes the system, with due consideration for the shedding location and delay. In a sec...

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...

The requirement for minimized cost whilst preserving power system reliability necessitates the development of both efficient system security assessment approaches and appropriate emergency remedial actions. Load shedding is a type of corrective actions that is applied to save power system stability against severe disturbances. This paper proposes an optimal load shedding policy that takes into ...

BACKGROUND Patterns of influenza molecular viral shedding following influenza infection have been well established; predictors of viral shedding however remain uncertain. OBJECTIVES We sought to determine factors associated with peak molecular viral load, duration of shedding, and viral area under the curve (AUC) in children and adult Hutterite colony members with laboratory-confirmed influen...

under the smart grid environments, demand response resources (drrs) as power system resources can effectively participate in and improve performance of electric systems. congestion management is one of the technical challenges in which drrs can play a significant role. previously, congestion management is applied without considering the power system uncertainties. therefore, a stochastic conges...

In this paper, a novel method based on Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) technique is proposed for solving Under Voltage Load Shedding (UVLS) problem. Load curtailment as ultimate control action is performed by under voltage load shedding scheme to guarantee power system voltage stability in contingency conditions. In addition, the proposed under voltage load she...

Recent blackouts around the world question the reliability of conventional and adaptive load shedding techniques in avoiding such power outages. To address this issue, reliable techniques are required to provide fast and accurate load shedding to prevent collapse in the power system. Computational intelligence techniques, due to their robustness and flexibility in dealing with complex non-linea...

Traditional load shedding algorithms for data stream systems calculate current operator selectivity over several run periods and use them to determine where to shed load during the next run period. In this paper, we show that the current selectivity may change due to the implementation of load shedding. Our algorithm, called RLS, determines the optimum drop location by these changed selectivity...

This paper presents an adaptive Under Frequency Load Shedding scheme based on Wide Area Measurement System. Due to the lack of enough adaptability to the operation state of the system, the traditional successive approximation under frequency load shedding method will cause excessive cut or undercut problems inevitably. This method consists first in a comprehensive weight index including load ch...