Abstract
In this paper Enhanced Mine Blast (EMB) algorithm which based on mine bomb explosion concept is proposed to solve optimal reactive power problem.The clue of the projected Enhanced Mine Blast (EMB) algorithm is based on the examination of a mine bomb explosion, in which the thrown pieces of shrapnel crash with other mine bombs near the explosion area resulting in their explosion. In this paper convergence speed has been enhanced. Proposed Enhanced Mine Blast (EMB) algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior performance of the projected Enhanced Mine Blast (EMB) algorithm in reducing the real power loss.
Highlights
Various algorithms are employed to solve the Reactive Power problem
The voltage stability problem plays a central role in power system planning and operation [8].Evolutionary algorithms such as genetic algorithm, Hybrid differential evolution algorithm, Biogeography Based algorithm, a fuzzy based approach, an improved evolutionary programming [9,10,11,12,13,14,15] have been already utilized to solve the reactive power flow problem In [16,17,18] different methodologies are effectively handled the optimal power problem
This paper introduces a new Enhanced Mine Blast (EMB) algorithm is used to solve optimal reactive power problem
Summary
Various algorithms are employed to solve the Reactive Power problem. Dissimilar types of arithmetical methods like the gradient method [1,2], Newton method [3] and linear programming [4,5,6,7] have been previously used to solve the optimal reactive power problem. In [19,20], a programming based approach and probabilistic algorithm is used to solve the optimal reactive power problem. This paper introduces a new Enhanced Mine Blast (EMB) algorithm is used to solve optimal reactive power problem. Proposed Enhanced Mine Blast (EMB) algorithm has been evaluated in standard IEEE 118 & practical 191 bus test systems. Blast (EMB) algorithm outperforms all the entitled reported algorithms in minimization of real power loss
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