Newton Raphson method is used to solve

Newton Raphson method is used to solve
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Newton Raphson method is used to solve

A. <p>linear differential equations</p>

B. Linear algebraic equations

C. Non-linear differential equations

D. non-linear algebraic equations

Please scroll down to see the correct answer and solution guide.

Right Answer is: D

SOLUTION

  • Load flow study determines the operating state of the system for a given loading.
  • Load flow solves a set of simultaneous non-linear algebraic power equations for the two unknown variables (|V| and ∠δ) at each node in a system.
  • The output of the load flow analysis is the voltage and phase angle, real and reactive power (both sides in each line), line losses, and slack bus power.
  • Gauss seidel, Newton Raphson, and Fast decoupled load flow method are the different load flow methods.
  • The fast decoupled load flow method gives an approximate load flow solution because it uses several assumptions. Accuracy depends on the power mismatch vector tolerance.
  • The fast decoupled load flow method is an extension of the Newton-Raphson method formulated in polar coordinates with certain approximations, which results in a fast algorithm for load flow solution.

  • The fast decoupled method requires a greater number of iterations than the Newton-Raphson method.

Important Points:

Gauss-Seidel Method

Newton Raphson Method

Load flow equations are non-linear algebraic in rectangular coordinates

 

Load flow equations are non-linear algebraic in polar co-ordinates

 

It has linear convergence characteristics

It has quadratic convergence characteristics

Less memory requirement

More memory requirement

Computation time per iteration is less

Computation time per iteration is more

Require a large number of iterations to reach convergence

Require a smaller number of iterations to reach convergence

Total time is taken to get convergence is high

Total time taken to get convergence is less

The number of iterations required to get for convergence increases with the size of the system i.e. the number of buses

The number of iterations is independent of the size of the system

As the selection of slack bus is changed, the convergent criteria also will change

The convergent criteria is independent of the selection of slack bus

Unreliable convergent, less accurate and used for smaller system

Reliable convergent, more accurate, it can be used for larger power system