Earticle

초록

영어

This paper present three versions of Cuckoo Search Algorithm (CSA) including conventional Cuckoo Search Algorithm (CSA), modified CSA (MCSA) and adaptive CSA (ACSA) for solving the fixed head short-term hydrothermal scheduling (ST-HTS) problem where the reservoir volume constraints and nonconvex fuel cost function of thermal unit as well as the power losses in transmission line are taken into account. Among the applied methods, ACSA is first developed in the study by performing two modifications on second new solution generation via the action of an alien egg to be abandoned. In the ACSA, all initial solutions or all solutions at the end of the previous iteration are evaluated and sorted into two kinds of solution, good solutions with lower fitness function and bad solutions with higher fitness function. The implementation of the first new solution generation first via Lévy flights in the ACSA is carried out similarly to that in MCSA. However, at the second new solution generation the ACSA evaluates the current solutions to choose the best one and use the information of the best one with a random solution to generate the second new solutions via the action of an alien egg to be abandoned. In addition, the probability of an alien egg discovery is considered an adaptive variable, which is set to the largest value at the beginning and decreased as the iteration is increased. Due to the adaptive value of the parameter, the ACSA can search an optimal solution but the trial runs are significantly decreased compared to CSA and MCSA. The performance of the ACSA is validated by testing on two systems and comparing with CSA, MCSA and other existing methods available in the paper.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Calculation Of Slack Thermal Unit And Slack Hydro Units
 4. Adaptive Cuckoo Search Algorithm
 5. Implementation of the Proposed Adaptive Cuckoo Search Algorithm For ST-HTS Problem
  5.1. Initialization
  5.2. The First New Solution Generation via Lévy Flights
  5.3. The second new solution generation via discovery of alien eggs
  5.4. Terminating criteria
  5.5. Overall Procedure
 6. Numerical Results and Discussion
  6.1. Selection of parameter for the CSA based methods
  6.2. System 1 with Convex Cost Function of Thermal Unit
  6.3. System 2 with Nonconvex Cost Function OF Thermal Units
 7. Conclusions
 References

키워드

저자

• Bach Hoang Dinh [ Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam,No. 19 Nguyen Huu Tho street, Tan Phong Ward, Dist. 7, Ho Chi Minh City, Vietnam ]
• Thang Trung Nguyen [ Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam,No. 19 Nguyen Huu Tho street, Tan Phong Ward, Dist. 7, Ho Chi Minh City, Vietnam ]
• Dieu Ngoc Vo [ Department of Power Systems, HCM City University of Technology 268 Ly Thuong Kiet str., 10th dist., Ho Chi Minh City, Viet Nam ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605