Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ji-Pyng Chiou"'
Autor:
Ji-Pyng Chiou, Chung-Fu Chang
Publikováno v:
International Journal of Electrical Power & Energy Systems. 73:684-690
Optimal capacitor placement in distribution systems solved by the hybrid method of CODEQ (called HCODEQ method) is proposed in this work. The concepts of chaotic search, opposition-based learning, and quantum mechanics are used in the CODEQ method to
Publikováno v:
MATEC Web of Conferences, Vol 119, p 01046 (2017)
This paper presents a backtracking variable scaling hybrid differential evolution, called backtracking VSHDE, for solving the optimal network reconfiguration problems for power loss reduction in distribution systems. The concepts of the backtracking,
Publikováno v:
International Journal of Electrical Power & Energy Systems. 31:34-42
The tuning of the PSS parameters for a multi-machine power system is usually formulated as an objective function with constraints consisting of the damping factor and damping ratio. A novel mixed-integer ant direction hybrid differential evolution al
Autor:
Ji-Pyng Chiou, Chung-Fu Chang
Publikováno v:
Cybernetics and Systems. 38:429-450
This paper introduces a robust searching hybrid differential evolution (RSHDE) method to solve the optimal feeder reconfiguration for power loss reduction. The feeder reconfiguration of distribution systems is to recognize beneficially load transfers
Publikováno v:
Electric Power Systems Research. 77:430-437
A robust searching hybrid differential evolution (RSHDE) method which can be used to solve the optimization problem of large-scale integer nonlinear systems is proposed. Two new schemes, the multi-direction search scheme and the search space reductio
Autor:
Ji-Pyng Chiou
Publikováno v:
Electric Power Systems Research. 77:212-218
This paper presents a variable scaling hybrid differential evolution (VSHDE) for solving the economic dispatch (ED) problem in large-scale systems. Different from the hybrid differential evolution (HDE), the concept of a variable scaling factor is us
Publikováno v:
International Journal of Electrical Power & Energy Systems. 28:739-745
This paper presents an effective method, variable scaling hybrid differential evolution (VSHDE), with integer programming for solving large capacitor placement problems in distribution systems. The variable scaling factor is used in VSHDE to overcome
Publikováno v:
Electric Power Systems Research. 75:190-199
This paper introduces an ant colony search algorithm (ACSA) to solve the optimal network reconfiguration problem for power loss reduction. The ACSA is a relatively new and powerful intelligence evolution method for solving optimization problems. It i
Publikováno v:
Electric Power Components and Systems. 33:931-946
This article introduces an ant colony search algorithm (ACSA) to solve the optimal capacitor placement problem. This ACSA is a relatively new meta-heuristic for solving hard combinational optimization problems. It is a population-based approach that
Publikováno v:
IEEE Transactions on Power Systems. 20:668-674
This paper presents an effective method-variable scaling hybrid differential evolution (VSHDE)-for solving the network reconfiguration for power loss reduction and voltage profit enhancement of distribution systems. The network reconfiguration of dis