Zobrazeno 1 - 10
of 85
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429d720330ad66b2e46e715b995745bd
https://doi.org/10.1016/j.ijepes.2015.06.003
https://doi.org/10.1016/j.ijepes.2015.06.003
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb0ac69cf8547795fa957426e7f6c247
https://doaj.org/article/c162d3e9ee664051a33bc27f9f146fe9
https://doaj.org/article/c162d3e9ee664051a33bc27f9f146fe9
Publikováno v:
MATEC Web of Conferences; 2017, Vol. 119, p1-11, 11p
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e4a4a23c70d686f0ecf41a50131dfcb
https://doi.org/10.1016/j.ijepes.2008.10.003
https://doi.org/10.1016/j.ijepes.2008.10.003
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33bcb809b10a9b70c2bb7e5be4f1b254
https://doi.org/10.1080/01969720701291262
https://doi.org/10.1080/01969720701291262
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6efc18a2bd3d1337a54118816bb0459
https://doi.org/10.1016/j.epsr.2006.04.002
https://doi.org/10.1016/j.epsr.2006.04.002
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c5301562894e0b0560e3709468908d7
https://doi.org/10.1016/j.epsr.2006.02.013
https://doi.org/10.1016/j.epsr.2006.02.013
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d94ef9f3abc7d3ed2652c049c392314
https://doi.org/10.1016/j.ijepes.2006.03.022
https://doi.org/10.1016/j.ijepes.2006.03.022
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c735c98e3ba0c695dfab5dd23aa47c
https://doi.org/10.1016/j.epsr.2005.03.002
https://doi.org/10.1016/j.epsr.2005.03.002
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::141276fd2e2a558fa38a6fb50c08f890
https://doi.org/10.1080/15325000590909912
https://doi.org/10.1080/15325000590909912