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Express the following set of equations in the form of (6.2.6), and then solve using the Jacobi iterative method withε=0.05and withlocalid="1655268416489" x1(0)=1,x3(0)=0

localid="1655268421093" [10-2-4-26-2-4-210][x1x2x3]=[-23-1]

Short Answer

Expert verified

The solution of the system isx1=-0.1382,x2=0.4336andx3=-0.0668.

Step by step solution

01

Write the given data from question.

The initial conditions are

x10=1x20=1x30=0,

The matrix for the system,

[10-2-4-26-2-4-210][x1x2x3]=[-23-1]

The specific tolerance level,ε=0.05.

02

Determine the equation to find the solution of the system.

The general equation of the system is given as follows.

Ax=y …… (1)

Herex,yare the N vectors A andis theN×Nsquare matrix.

The equation to calculate the matrix M of Jacobi iteration method is given as follows.

M=D-1(D-A) …… (2)

Here Dis the matrix consisting of the diagonal elements of Amatrix.

The equation for the Jacobi method as,

x(i+1)=Mx(i)+D-1y …… (3)

03

Calculate the solution for the system.

Compare the given system equation with equation (1)A=10-2-4-26-2-4-210,x=x1x2x3,y=-231

For Jacobi, D consists of the diagonal elements of the A matrix.

D=10000600010

Calculate the inverse of the D matrix.

D-1=11000016000110

Calculate the matrix M for Jacobi method,

Substitude11000016000110forD-110000600010forDand10-2-4-26-2-4-210forAinto

equation (2).

M=1100001600011010000600010-10-2-4-26-2-4-210M=11000016000110024202420M=11000016000110

Expressed the equation of the system,

Substitude015251301325150forM,x1ix2ix3iforxi,11000016000110forD-1,and-23-1

y into equation (3).

x1i+1x2i+1x3i+1=015251301325150x1ix2ix3i+110000110000110-23-1

By usingthe initial conditions,

Forx11


Repeat the above steps to calculate the values forx1n,x2nandx3n.

The table of the iteration is shown below.=

The iterations are converging at the10thiteration,

Forx1.

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Most popular questions from this chapter

For the Newton-Raphson method, the region of attraction (or basin of attraction) for a particular solution is the set of all initial guesses that converge to that solution. Usually initial guesses close to a particular solution will converge to that solution. However, for all but the simplest of multi-dimensional, nonlinear problems, the region of attraction boundary is often fractal. This makes it impossible to quantify the region of attraction and hence to guarantee convergence. Problem 6.25 has two solutions when x2 is restricted to being betweenπandπ. With thex2initial guess fixed at0radians, numerically determine the values of theinitial guesses that converge to the Problem 6.25 solution. Restrict your search to values x1of 0betweenand1.

Question: Determine the initial Jacobian matrix for the power system described in Problem 6.34

The bus admittance matrix for the power system shown in Figure 6.24 is given by

Ybus=[3-9j-2+j6-1+j30-2+j63.666-j11-0.666+2-1+j3-1+j3-0.666+j23.666-j11-2+j60-1+j3-2+j63-9j]perunit

With the complex powers on load buses 2, 3, and 4 as shown in Figure 6.24,

determine the value for V2that is produced by the first and second iterations of the Gauss-Seidel procedure. Choose the initial guess

V2(0)=V3(0)=V4(0)=1.00°perunit.

What are the operational impacts on fossil-fueled power plants due to high penetrations of wind and solar generation into a power grid?

For the Newton-Raphson method to work, one should make sure that J-1exists.

(a) True

(b) False

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