Enhanced Multiobjective Evolutionary Algorithm Based on Decomposition for Solving the 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...
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Multiobjective Evolutionary algorithms (MOEAs) are often well-suited for complex combinatorial Multiobjective optimization problems (MOPs). Integer based MOPs are prevalent in real world applications where there exist a discrete amount of a component or quantity of an item. Presented here is the application of a building block based MOEA, the MOMGA-II, to a NP Complete problem and real-world ap...
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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...
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ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Informatics
سال: 2015
ISSN: 1551-3203,1941-0050
DOI: 10.1109/tii.2015.2485520