Distributed generation (DG) can be integrated into any radial distribution network (RDN) to meet the increasing demand for electric power. Instead of integrating a single large size DG, two or more than two small DGs (multi DGs) are usually placed. These DGs must be placed in appropriate buses/nodes with suitable size to ensure better performance of the system. The purpose of this paper is to implement an established hybrid optimization algorithm to place multi DGs with suitable size at each site. The proposed hybrid ABC-CS optimization algorithm combines the behaviour of the artificial bee colony (ABC) and cuckoo search (CS) algorithms. The multi DGs are optimally placed by considering objectives like power loss, penalty function (PE) and voltage profile (VP). The outcomes of two different types of radial distribution networks obtained by the suggested method for placement of multi DGs have been correlated to that obtained by using genetic algorithm (GA), particle swarm optimization (PSO) and GA-PSO. The proposed method has also been correlated with the other published methods to indicate its strength.
The main objective of short-term hydrothermal scheduling is the optimal allocation of the hydro and thermal generating units, so that the total cost of thermal plants can be minimized. The time of operation of the functioning units are considered to be 24 h. To achieve this objective, the hybrid algorithm combination of Artificial Bee Colony (ABC) and the BAT algorithm were applied. The swarming behavior of the algorithm searches the food source for which the objective function of the cost is to be considered; here, we have used two search algorithms, one to optimize the cost function, and another to improve the performance of the system. In the present work, the optimum scheduling of hydro and thermal units is proposed, where these units are acting as a relay unit. The short term hydrothermal scheduling problem was tested in a Chilean system, and confirmed by comparison with other hybrid techniques such as Artificial Bee Colony–Quantum Evolutionary and Artificial Bee Colony–Particle Swarm Optimization. The efficiency of the proposed hybrid algorithm is established by comparing it to these two hybrid algorithms.
where a max is the 40 dB attenuation point; a min the 3 dB attenuation point; f s is the 40 dB stopband frequency; f c is the 3 dB cutoff frequency.ABSTRACT: In this article, a compact ultra-wideband (UWB) antenna with microstrip feed having dual notch band characteristic is proposed. The antenna has two U-shaped stubs on the radiating patch. The proposed antenna can reduce the interference between UWB and WiMAX/WLAN. The propose antenna has a small size of 26 3 27 mm 2 . The proposed antenna achieved an operating bandwidth (VSWR < 2) from 2.6 GHz to 10.8 GHz, with one frequency notched band at 3-3.9 GHz (WiMAX) and other at 5-5.9 GHz (WLAN). The proposed antenna exhibits Omnidirectional radiation pattern except notch bands, make it suitable for UWB applications. Figure 1 Structure of EMEH antenna (a) top and (b) bottom view. [Color figure can be viewed at wileyonlinelibrary.com]
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.