Abstract
This paper presents an efficient Cuckoo Search Optimization technique to improve the reliability of electrical power systems. Various reliability objective indices such as Energy Not Supplied, System Average Interruption Frequency Index, System Average Interruption, and Duration Index are the main indices indicating reliability. The Cuckoo Search Optimization (CSO) technique is applied to optimally place the protection devices, install the distributed generators, and to determine the size of distributed generators in radial feeders for reliability improvement. Distributed generator affects reliability and system power losses and voltage profile. The volatility behaviour for both photovoltaic cells and the wind turbine farms affect the values and the selection of protection devices and distributed generators allocation. To improve reliability, the reconfiguration will take place before installing both protection devices and distributed generators. Assessment of consumer power system reliability is a vital part of distribution system behaviour and development. Distribution system reliability calculation will be relayed on probabilistic reliability indices, which can expect the disruption profile of a distribution system based on the volatility behaviour of added generators and load behaviour. The validity of the anticipated algorithm has been tested using a standard IEEE 69 bus system.
Highlights
Owing to the rapid growth in the demand for electricity, ecological constraints, and the competitive energy market scenario, the electrical practicalities sectors such as transmission and distribution systems have often been run under severely loaded circumstances
Distributed Generators (DGs) penetration with the Cuckoo search optimization case study and its results is presented in Section 6, while Section 7 illustrates the conclusions of this paper
The expression used to simulate the behavior of wind speed is Weibull probability density function (PDF) [16,17]
Summary
Owing to the rapid growth in the demand for electricity, ecological constraints, and the competitive energy market scenario, the electrical practicalities sectors such as transmission and distribution systems have often been run under severely loaded circumstances. A multi-objective optimization technique for installing switches and protective devices in electric power distribution systems has been applied. The reliability can be improved even without connecting DG if the reclosers are optimally connected at sections the distribution system [10]. An optimal and sensitive placement of distributed generation and reclosers has revealed the capability of improving both system security and reliability. The switch placement problem to increase system reliability for radial distribution systems with the integration of DGs after a fault was. Due to the limitation on increasing the DGs penetrations, from reliability point of view, the recloser will be optimally installed to take the reliability to another level, and the location of switches is set. DG penetration with the Cuckoo search optimization case study and its results is presented, while Section 7 illustrates the conclusions of this paper DG penetration with the Cuckoo search optimization case study and its results is presented in Section 6, while Section 7 illustrates the conclusions of this paper
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