energies-11-01877.rar - An optimal power dispatch of a small-scale standalone microgrid for remote area power
supply in Colombian territory is proposed in this paper. The power dispatch is generated by an
energy management system based on a mixed-integer linear programming, which minimizes the cost
of operating the microgrid while fulfilling the technical constraints of its elements. The energy
management system solves an optimization problem using the algebraic representation of the
generators and its constraints. Basic steady-state models of the generators are selected to solve
the optimization problem. The small-scale microgrid is considered for a remote area power supply
in Taroa, a small settlement in La Guajira, Colombia.,2019-03-10 17:57:13,下载2次
18266.rar - A kind of microgrid energy monitoring system based on Energy Management System
(EMS) is researched in this paper. A professional compound energy power station integrated
automation remote monitoring system for multi-energy complementary microgrid system is
developed. Control board of energy management system is developed by DSP + CPLD, control
interface is developed by Zijinqiao software.,2019-03-10 17:55:47,下载4次
51301.rar - Development of an Energy Management System Control
Algorithm for a Remote Community Microgrid System,2019-03-10 17:54:54,下载2次
Altresco.rar - Ordinary and partial differential equations occur in many applications. An
ordinary differential equation is a special case of a partial differential equation but the behaviour of solutions is quite different in general. It is much
more complicated in the case of partial differential equations caused by the
fact that the functions for which we are looking at are functions of more
than one independent variable,2019-03-10 17:53:47,下载0次
Lecture 17.rar - This is an introduction to ordinary differential equations. We describe the
main ideas to solve certain differential equations, like first order scalar equations, second
order linear equations, and systems of linear equations. We use power series methods
to solve variable coefficients second order linear equations. We introduce Laplace transform methods to find solutions to constant coefficients equations with generalized source
functions. We provide a brief introduction to boundary value problems, eigenvalueeigenfunction problems, and Fourier series expansions. We end these notes solving our
first partial differential equation, the heat equation. We use the method of separation
of variables, where solutions to the partial differential equation are obtained by solving
infinitely many ordinary differential equations.,2019-03-10 17:50:14,下载2次
ode.rar - Summary. This is an introduction to ordinary differential equations. We describe the
main ideas to solve certain differential equations, like first order scalar equations, second
order linear equations, and systems of linear equations. We use power series methods
to solve variable coefficients second order linear equations. We introduce Laplace transform methods to find solutions to constant coefficients equations with generalized source
functions. We provide a brief introduction to boundary value problems, eigenvalueeigenfunction problems, and Fourier series expansions. We end these notes solving our
first partial differential equation, the heat equation. We use the method of separation
of variables, where solutions to the partial differential equation are obtained by solving
infinitely many ordinary differential equations.,2019-03-10 17:41:54,下载0次
pdebook.rar - These lecture notes are intented as a straightforward introduction to partial
differential equations which can serve as a textbook for undergraduate and
beginning graduate students.
For additional reading we recommend following books: W. I. Smirnov [21],
I. G. Petrowski [17], P. R. Garabedian [8], W. A. Strauss [23], F. John [10],
L. C. Evans [5] and R. Courant and D. Hilbert[4] and D. Gilbarg and N. S.
Trudinger [9]. Some material of these lecture notes was taken from some of
these books.,2019-03-10 17:34:30,下载0次
PASI2011-Maravelias.rar - Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. Linear programming is a special case of mathematical programming (also known as mathematical optimization).
More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints. Its feasible region is a convex polytope, which is a set defined as the intersection of finitely many half spaces, each of which is defined by a linear inequality. Its objective function is a real-valued affine (linear) function defined on this polyhedron. A linear programming algorithm finds a point in the polyhedron where this function has the smallest (or largest) value if such a point exists.,2019-03-10 17:30:08,下载0次