Real power loss reduction by tundra wolf algorithm
نویسندگان
چکیده
منابع مشابه
Reduction of real power loss by using Kudu Herd Algorithm
In this paper, a new Bio-inspired algorithm, namely kudu herd algorithm (KHA) is proposed for solving reactive power dispatch problem. A population of candidate solution approach as a herd of kudus carries out a succession of jumps through the search space in order to find the most excellent solution. The logic of this algorithm is quite different from that of most population based algorithms, ...
متن کاملOptimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm
In power systems, reconfiguration is one of the simplest and most low-cost methods to reach many goals such as self-healing, reliability improvement, and power loss reduction, without including any additional components. Regarding the expansion of distribution networks, communications become more complicate and the number of parameters increases, which makes the reconfiguration problem infeasib...
متن کاملWolf Search Algorithm for Attribute Reduction
Data sets ordinarily includes a huge number of attributes, with irrelevant and redundant attributes. Redundant and irrelevant attributes might minimize the classication accuracy because of the huge search space. The main goal of attribute reduction is choose a subset of relevant attributes from a huge number of available attributes to obtain comparable or even better classication accuracy than ...
متن کاملVoltage Collapse Enhancement and Loss Reduction by Reactive Power Reserve
Now a day modern power industry is facing the problem of voltage instability due to stressed conditions and heavy load .The main cause for the voltage instability is the in sufficient reactive power at the load buses of the system. This paper deals with the problem of reactive power reserve management and voltage collapse point enhancement and loss reduction. Simulation is performed on the IEEE...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره 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: International Journal of Informatics and Communication Technology (IJ-ICT)
سال: 2020
ISSN: 2722-2616,2252-8776
DOI: 10.11591/ijict.v9i2.pp100-104