Eagle Strategy based Crow Search Algorithm for solving Unit Commitment Problem
نویسندگان
چکیده
منابع مشابه
the algorithm for solving the inverse numerical range problem
برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.
15 صفحه اولSolving the Unit Commitment Problem Using Modified Imperialistic Competition Algorithm
One of the most important problems for power system operation is unit commitment (UC), for which different constraints should be satisfied. UC is a nonlinear and large-scale problem; thus, using the evolutionary algorithms has been considered for solving the problem. In this paper, the solution of the UC problem was investigated using Modified Imperialistic Competition Algorithm (MICA). Simula...
متن کاملGenetic Algorithm Based Tabu Search Method for Solving Unit Commitment Problem with Cooling –– Banking Constraints
This paper presents a new approach to solving the short-term unit commitment problem using the genetic algorithm based tabu search method with cooling and banking constraints. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal ge...
متن کاملAn improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
متن کاملSolving Optimal Unit Commitment Problem Based on Wind Power Effects Using Harmony Search Algorithm
In this paper, Multi Objective Harmony Search Algorithm (MOHSA) is used to solve the Unit Commitment (UC) problem between thermal generating units with wind impact an electricity market to minimize total cost to achieve a real system considered with various generator and wind constraints in power systems. Today the wind power is utilized as energy in power systems to play an important role in r...
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: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2018
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v12.i1.pp17-29