This work proposes a novel approach for multi-type optimal placement of flexible AC transmission system(FACTS) devices so as to optimize multi-objective voltage stability problem. The current study discusses a way for...This work proposes a novel approach for multi-type optimal placement of flexible AC transmission system(FACTS) devices so as to optimize multi-objective voltage stability problem. The current study discusses a way for locating and setting of thyristor controlled series capacitor(TCSC) and static var compensator(SVC) using the multi-objective optimization approach named strength pareto multi-objective evolutionary algorithm(SPMOEA). Maximization of the static voltage stability margin(SVSM) and minimizations of real power losses(RPL) and load voltage deviation(LVD) are taken as the goals or three objective functions, when optimally locating multi-type FACTS devices. The performance and effectiveness of the proposed approach has been validated by the simulation results of the IEEE 30-bus and IEEE 118-bus test systems. The proposed approach is compared with non-dominated sorting particle swarm optimization(NSPSO) algorithm. This comparison confirms the usefulness of the multi-objective proposed technique that makes it promising for determination of combinatorial problems of FACTS devices location and setting in large scale power systems.展开更多
Many organizations, educational institutes, and universities wish to identify efficient and high caliber applicants who could excel over the accounting discipline, while scholarships and admissions are still not offer...Many organizations, educational institutes, and universities wish to identify efficient and high caliber applicants who could excel over the accounting discipline, while scholarships and admissions are still not offered. However, it is believed that undergraduate accounting students with majors in mathematics from pre-university institutes perform much better than those with arts or social sciences backgrounds. Therefore, this paper~ takes the mathematics perception level as well as pre-university＇s cumulative grade point averages （CGPAs） as the main indicators of efficiency and better performance of undergraduate accounting students. In order to test the hypotheses, a multiple regression analysis has been used. By choosing all undergraduate accounting candidates, who had been admitted for academic calendars of 2009-2010 in four different universities （one public, two semi-publics, and one private university） and testing their mathematics excellency, as well as extracting their CGPAs, the authors find that students＇ mathematical talents are high, and to a lower extent, the CGPAs will positively influence the performance in accounting courses.展开更多
文摘This work proposes a novel approach for multi-type optimal placement of flexible AC transmission system(FACTS) devices so as to optimize multi-objective voltage stability problem. The current study discusses a way for locating and setting of thyristor controlled series capacitor(TCSC) and static var compensator(SVC) using the multi-objective optimization approach named strength pareto multi-objective evolutionary algorithm(SPMOEA). Maximization of the static voltage stability margin(SVSM) and minimizations of real power losses(RPL) and load voltage deviation(LVD) are taken as the goals or three objective functions, when optimally locating multi-type FACTS devices. The performance and effectiveness of the proposed approach has been validated by the simulation results of the IEEE 30-bus and IEEE 118-bus test systems. The proposed approach is compared with non-dominated sorting particle swarm optimization(NSPSO) algorithm. This comparison confirms the usefulness of the multi-objective proposed technique that makes it promising for determination of combinatorial problems of FACTS devices location and setting in large scale power systems.
文摘Many organizations, educational institutes, and universities wish to identify efficient and high caliber applicants who could excel over the accounting discipline, while scholarships and admissions are still not offered. However, it is believed that undergraduate accounting students with majors in mathematics from pre-university institutes perform much better than those with arts or social sciences backgrounds. Therefore, this paper~ takes the mathematics perception level as well as pre-university＇s cumulative grade point averages （CGPAs） as the main indicators of efficiency and better performance of undergraduate accounting students. In order to test the hypotheses, a multiple regression analysis has been used. By choosing all undergraduate accounting candidates, who had been admitted for academic calendars of 2009-2010 in four different universities （one public, two semi-publics, and one private university） and testing their mathematics excellency, as well as extracting their CGPAs, the authors find that students＇ mathematical talents are high, and to a lower extent, the CGPAs will positively influence the performance in accounting courses.
