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The critical issues in a renewable energy based microgrid are ensuring continuous availability of power to the critical loads, and to provide supply to the maximum possible portion of the system under any abnormal conditions by topology management. An intelligent load shedding and fast reconfiguration of the system is therefore necessary in order to serve the critical loads and to maintain a proper...
A method for optimal switches placement in distribution systems with distributed generation is presented in this paper. According to both technical and economical issues, the method allows minimizing the unsupplied loads in case of permanent faults, while limiting the number of installed switches. The problem is formulated as a mixed integer non linear programming problem (MINLP) and the solution...
State space pruning is a methodology that has been successfully applied to improve the computational efficiency and convergence of Monte Carlo Simulation (MCS) when computing the reliability indices of composite power systems. This methodology increases performance of MCS by pruning state spaces in such a manner that a new state space with a higher density of failure states than the original state...
State space pruning is a methodology that has been successfully applied to improve the computational efficiency and convergence of Monte Carlo Simulation (MCS) when computing the reliability indices of power systems. This methodology increases performance of MCS by pruning state spaces in such a manner that a conditional state space with a higher density of failure states than the original state space...
State space pruning is a methodology that has been used to improve the computational efficiency and convergence of Monte Carlo Simulation (MCS) when computing the reliability indices of power systems. This methodology improves performance of MCS by pruning state spaces in such a manner that a new state space with a higher density of failure states than the original state space is created. We have...
Genetic Algorithm (GA) is emerging as a popular tool in the optimization problems of power systems. In reliability indices calculation and adequacy assessment, methods have been previously developed to use GA as the sampling tool. One of the techniques developed is to use GA as the state space pruning tool in order to truncate the state space before calculating the reliability indices. This means...
Methods have previously been developed that improve the computational efficiency and convergence of Monte Carlo simulation (MCS) when computing the reliability indices of power systems. One of these techniques works by pruning the state space in such a manner that the MCS samples a state space that has a higher density of failure states than the original state space. This paper presents a new approach...
Intelligent search based techniques such as genetic algorithm (GA) have been proposed to deal with reliability evaluation of complex power systems recently. In this type of methods, the guided search is carried out on a population scale trying to find all the dominant failure states, based on which different reliability indices can be calculated accordingly. However, the process may be time-consuming...
Genetic algorithm (GA) has shown its promise in dealing with reliability evaluation of complex power systems. However, it may be computationally expensive due to its stochastic search mechanism coupled with the problem complexity. Especially, when each system state needs a load flow calculation to determine its status, the reliability evaluation process may take a long time. Parallel computation is...
More and more wind power is being integrated into power grids in recent years. However, due to its intermittent characteristic, it is usually difficult to determine the appropriate penetration level to ensure a specified reliability requirement. For this purpose, the proper calculation of wind power capacity credit is of particular importance which is useful in both operations and planning stages...
Load shedding is the last-resort tool for use in an extreme situation arising due to generating power deficiency and the consequent drop in power system frequency, which lead to a system collapse. Load shedding becomes a common practice for electric utilities around the world. To be effective, load shedding should be simple, rapid, and decisive. This paper deals with the problem of using optimal load...
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