Open AccessInteger linear programming and genetic algorithm (GA)for the optimum placement of phasor measuring units for smart grid
Author(s) -
R. Nafeena,
M. Ettappan,
M Monica,
Karthik Chandrasekar,
M. Kalarathi,
A. Abdul Munaf
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/993/1/012070
Subject(s) - phasor , units of measurement , integer programming , genetic algorithm , smart grid , linear programming , grid , topology (electrical circuits) , process (computing) , integer (computer science) , algorithm , mathematics , computer science , power (physics) , electric power system , mathematical optimization , engineering , electrical engineering , physics , combinatorics , geometry , quantum mechanics , programming language , operating system
For the optimal replacement of phasor measuring units (PMUs) in the presence of conventional measurements, the integrated linear programming (ILP) and genetic algorithms are proposed. In fact, the power system remains fully measurable for the lines and measuring instruments during all conceivable single contingencies. In doing so, a process of equations entirely utilizes the capability of circuit equations related to standard measurements and PMUs, and the system topology, to attain the minimum possible amount of required PMUs.