Adaptive Firefly Algorithm based OPF for AC/DC Systems
نویسندگان
چکیده
منابع مشابه
Adaptive Firefly Algorithm based OPF for AC/DC Systems
Optimal Power Flow (OPF) is an important operational and planning problem in minimizing the chosen objective functions of the power systems. The recent developments in power electronics have enabled introduction of dc links in the AC power systems with a view of making the operation more flexible, secure and economical. This paper formulates a new OPF to embrace dc link equations and presents a...
متن کاملAn adaptive modified firefly algorithm to unit commitment problem for large-scale power systems
Unit commitment (UC) problem tries to schedule output power of generation units to meet the system demand for the next several hours at minimum cost. UC adds a time dimension to the economic dispatch problem with the additional choice of turning generators to be on or off. In this paper, in order to improve both the exploitation and exploration abilities of the firefly algorithm (FA), a new mo...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملVoting Algorithm Based on Adaptive Neuro Fuzzy Inference System for Fault Tolerant Systems
some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...
متن کاملAdaptive Step Firefly Algorithm Based on Population Diversity
As a new swarm intelligence optimization method, firefly algorithm shows good performance on many complex optimization problems. However, due to the fixed parameters of FA, it is difficult to adapt to environmental changing during the iteration process, and FA easily lose its diversity and lead to premature convergence. In this paper, an adaptive step firefly algorithm based on population diver...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Electrical Engineering and Technology
سال: 2016
ISSN: 1975-0102
DOI: 10.5370/jeet.2016.11.4.791