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The relationship between macroeconomic growth and reducing poverty in Azerbaijan is examined. Findings revealed that the role of economic growth in poverty reduction is minimal. The impact of sectoral status on poverty risk and the correlation between new jobs and economic growth are also analyzed.

Limited resources in post-disaster areas, one of which is a communication where coordination needed for aid distribution in disaster areas. Wireless balloon technology as a solution for use in post-disaster areas. Bandwidth limitations and high delay in communication systems on wireless balloons create limitations in aid coordination, especially mobile device tracking on BPBD volunteers or officers. This research develops an effective communication system at the wireless balloon to track personal device officers in disaster areas that use cellular devices. This mobile device tracking system utilizes a wireless balloon using a publish-subscribe system on their mobile devices, namely volunteers as publishers and those responsible for disasters or communities as subscribers. To overcome the limitations of communication resources on cellular devices and wireless balloons using the Adaptive method on publish-subscribe called UM-Disaster. The results of this study, the UM-Disaster system for multi-cell tracking has an average efficiency of 40-63% for bandwidth and processor use on mobile devices at 51-70%. [ABSTRACT FROM AUTHOR]

Due to ecological and economic benefits, variable energy sources are considered as a key factor in the world-wide energy security. The main operational problems associated with these sources are their variability and intermittency. Therefore, the inclusion in the fleet of the energy mix as the standard conventional generators is difficult. The wind energy is among the most dominant renewable source. Furthermore, this paper focuses on the inclusion of the wind energy impact on the Economic Dispatch (ED) optimization problem. The ED problem also considers the minimization of pollutant emissions from fossil-based sources. The Thunderstorm Algorithm (TA) is presented in this paper as a new intelligent computation technique for optimizing the Integrated Wind Energy and Pollutant Emissions into the Economic Dispatch (IWEPEED) problem. The algorithm is tested on the modified IEEE 62-bus system with wind energy integrated into the system as an area developing model of Java Bali Power Grid development. The results show the potential and success of the TA for solving the IWEPEED optimization problem with a short computational time and a fast convergence. [ABSTRACT FROM AUTHOR]

This paper presents a current ripple analysis of new double-stator AC drive system. At first, a new double-stator AC drive system is proposed. The aim is to combine the benefits both the multilevel and multiphase system to provide the better performance to drive AC motor. The input and output current ripples of the proposed AC drive system are then analyzed. The current ripples of the proposed AC drive system are then compared to the ones of conventional double-stator AC drive system. Under the same DC input voltage, it is shown that the proposed results in less output current ripple. Under the same output voltage, the proposed AC drive system results in smaller input current and, therefore, fewer losses on the DC power supply. Experimental results are included to show the validity of the proposed concept. [ABSTRACT FROM AUTHOR]

Evolutionary methods dominate in the computation for breaking out the real problems. For a couple of years, it is more popular than classical methods for solving many cases. Technically, one of real problems is the emission dispatch and economic dispatch (EDED) problem. The EDED problem is used to optimize the power system operation (PSO) at a certain time under some constraints. This paper presents performance comparison between Harvest Season Artificial Bee Colony (HSABC) and Genetic Algorithms on the EDED problem applied to the IEEE-62 bus system. Simulation results show that the tested methods have difference characteristics and abilities for optimizing the PSO based on the EDED problem. [ABSTRACT FROM AUTHOR]

This paper presents performances of a harvest season artificial bee colony (HSABC) algorithm for obtaining the best solution of a combined economic and emission dispatch (CEED). Two strategies of placement are applied to IEEE-30 bus system for solving the CEED problem under some constraints. Modified rates and various distances are also used to demonstrate HSABC's performances. Simulation results show that two placement strategies have different implications for the CEED, application of various modified rates and distances affect to convergence speeds, minimum results are searched in different starting points at the first iteration and the total number of food sources gives effects to the HSABC's performances. [ABSTRACT FROM AUTHOR]

This paper proposes the harvest season artificial bee colony (HSABC) algorithm, a novel improvement of the artificial bee colony (ABC) algorithm, for computing an economic dispatch solution of a power system based on fuel consumption and the produced emissions. A standard model of the power system, the IEEE-62 bus system, is used to show the performance of HSABC using equality and inequality constraints to determine the optimal solution for the economic operation of the power system. Simulations involving the proposed algorithm show that HSABC has better ability to determine the minimum values for the operating cost problem with faster convergence and shorter running time when compared to the traditional ABC algorithm. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]