Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
SHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm en Phuc KhaiA thesis submitted in partial fulfillment for the degree of Doctor of Philosophyill t heRegional environment systems42979"The. important thing is to not stop questioning. Curiosity has its own reason for existing.”Altieri EinsteinAbstractThe main purpose of this thesis is to propose an i Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm mproved Cuckoo Search Algorithm and evaluate! it on various economic problems of the electric power system in order to investigate its effectiveness.Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
Cuckoo Search Algorithm is a meta-heuristic developed by Yang and Del) since 2009. This method is based on the Levy distribution to generate new solutSHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm od gives a chance for Cuckoo eggs to modify itself following better solutions to enhance the performance. A learning factor Pl is employed to control the modification stage of Cuckoo eggs and prevent the search engine fall into local optimum points. Thus, the proposed is named Self-Learning Cuckoo S Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm earch Algorithm.In order to investigate the efficiency. Self-Learning Cuckoo Search Algorithm is evaluated on four common pcoộomic problems on the powEconomic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
er system. The first application is the Multi-Area Economic Dispatch. The objective of this problem is to minimize the total fuel cost when combining SHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm ch as multi-fuel cost function, the functions considering valve-point effects or prohibited operating zone. Numerical results of three case studies show that the projjosed method is better than the conventional Cuckoo search algorithm.The second obtained problem Is the Optimal Power Flow, which is t Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm he major tool to operate and analyze the power system. This problem determines power and voltage of generators to minimize the total fuel cost while hEconomic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
andling a huge of equal ami unequal operational constraints. Self-Learning Cuckoo Search Algorithm is evaluated up to the IEEE 300-bus system to invesSHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm the conventional is unsuccessful.Thirdly, Self-Learning Cuckoo Search Algorithm is evaluated on the optimal Reactive Power Dispatch. This problem is a special type of the Optimal Power Flow when its objective function is to minimize the total power lass. According to numerical results of 30-, 57- an Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm d 118-bus systems, the proposed method keeps giving better solutions than the conventional.The final problem is the optimal sizing and placement of shEconomic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
unt-VAB compensators. This problem has multiple objectives and combines integer and real numbers together. In this study, Self-1.earning Cuckoo SearchSHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm o Search Algorithm.According to numerical results of obtained problems, the proposed Self-Learning Cuckoo Search Algorithm is bettor than the conventional in giving the optimal solutions, especially on large-scale systems. Thus, the proposed method is favorable to apply for practical operation.Ackno Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm wledgementsI would like to use this opport unity to thank my advisor, my fellow and diploma students, my many friends and my family for their time, idEconomic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
eas and encouragement.First of all, 1 would like to thank my advisor, Prof Goro Fujita. You gave me professional assistance, careful reading, valuableSHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm grateful and proud to become a student of yours.1 also would like to thank to Assoc. Prof. Vo Ngoc Dieu at Ho Chi Minh University of Technology in Viet Nam and Prof. Fukuyama at Meiji University, for your useful comments and pointing me in right directions.Special thank to Shibaura Institute of Tec Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm hnology for your financial support through the Hybrid Twin Program. Your support gives my whole mind to study.Warmly thank to other fellow doctoral stEconomic planning and operation in electric power system using meta heuristics on cuckoo search algorithm
udents in my lab for your significant contribution and your supports when I write this thesis. I am also thankful to other master and diplomat studentSHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguye Economic planning and operation in electric power system using meta heuristics on cuckoo search algorithm rch.NGUYEN PHUC KHAIVISHIBAURA INSTITUTE OF TECHNOLOGYEconomic planning and operation in electric power system using meta-heuristics based on Cuckoo Search AlgorithmbyNguyeGọi ngay
Chat zalo
Facebook