Real power loss reduction by hyena optimizer 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 کاملOptimal power flow with enhancement of voltage stability and reduction of power loss using ant-lion optimizer
Abstract: In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization algorithm ant lion optimizer (ALO). ALO is inspired by the hunting process of ant-lions in the natural environment. ALO has a fast convergence rate due to the use of roulette wheel selection method. For the solution of the optimal pow...
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 Advances in Applied Sciences
سال: 2020
ISSN: 2722-2594,2252-8814
DOI: 10.11591/ijaas.v9.i3.pp186-191