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Assignment 1&2 Ppt

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    PROJECTTITLE:- POWERFLOWANALYSIS

    BYUSINGMATLABCOD.

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    1. INTRODUCTIONANDBACKGROUND

    1.1 INTRODUCTION

    A power flow analysis (load-flow analysis) is a steady-

    state analysis whose target is to determine

    Bus voltages profile Currents

    Real and reactive power flows in a system under a given

    load conditions.

    The load flow solution gives theNodal voltages and phase angles

    The power injection at all the buses and

    Power flows through interconnecting power channels2

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    CONTD

    In a power system each node or bus is associated with

    four quantities

    Magnitude of voltage

    Phage angle of voltage Active power and

    Reactive power

    In load flow problem two out of these four quantities are

    specified and remaining two is required to be determined

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    CONTD

    Depending on the quantities that have been specified, thebuses are classified into three categories.

    1. Slack (swing) bus

    2. Voltage controlled bus (P-V)

    3. Load bus (P-Q)

    To finish load flow analysis there are methods ofmathematical calculations which consist plenty of stepdepend on the size of system.

    But this process is difficult and takes a lot of times toperform by hand.

    In order to improve these difficulties, this project aimedto develop Matlab programmes for two popularly usedalgorithms in load flow analysis.

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    1.2. OBJECTIVE

    The objective of this paper is

    To develop a computer program to solve the set of non

    linear load flow equations using Gauss- Seidal and

    Newton- Raphson load flow algorithm.

    To evaluate the performance of these two methods.

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    1.3. METHODOLOGY

    Form a bus admittance matrix Ybusfor the power system

    Perform nodal analysis of power system

    The basic equation for power-flow analysis is derived

    from the nodal analysis equations. Build flow chart of power-flow analysis technique

    Develop Gauss-Seidel and Newton-Raphson power-

    flow method algorithm.

    Coding Gauss-Seidel and Newton-Raphson power-flowalgorithm using Matlab software.

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    2. BACKGROUND

    2.1 BUS ADMITTANCE MATRIX

    The Ybusmatrix constitutes the models of thepassive portions of the power network.

    Ybus matrix is often used in solving load flow

    problems. that is Ybus(i i)

    Where: Bijis the half line shunt admittance in mho.

    Yijis the series admittance in mho.

    Off-diagonal element in Y-bus matrix = -Yij that isYbus(i j) or Ybus(j i)

    Where: Yijis the series admittance in mho.7

    n

    ij

    j=1

    Main diagonal element in Y-bus matrix= ijG B

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    2.1.1.ALGORITHM

    Step 1: Read the number of buses and the number

    of lines of the given system.

    Step 2: Read the self-admittance of each bus and

    the mutual admittance between the buses.

    Step 3: Calculate the diagonal element term called

    the bus driving point admittance, Yiiwhich is the

    sum of the admittances connected to bus i.

    Step 4: The off-diagonal term called the transfer

    admittance, Yijwhich is the negative of the

    admittance connected from bus i to bus j.

    Step 5: Check for the end of bus count and print the

    computed Y-bus matrix.8

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    2.2. LOADFLOWANALYSIS

    Load flow study is the steady state solution of

    the power system network and uses simplified

    notation such as a one-line diagram and per-unit

    system.

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    2.3. METHODSOFLOADFLOWANALYSIS

    The solution of the simultaneous nonlinear power

    flow equations requires the use of iterative

    techniques for even the simplest power systems.

    There are many methods for solving nonlinear

    equations, such as:

    Gauss Seidel.

    Newton-Raphson.

    Fast Decoupled In this project we made use of the Gauss-Seidel

    and Newton -Raphson method

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    2.3.1.GAUSS-SEIDELMETHOD

    Gauss-Seidel method is also known as the method

    of successive displacements.

    It is important to have a good approximation to the

    load flow solution, which is after used as a starting

    estimate (or initial guess) in the iterative procedure.

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    CONTD

    The 1sttask is driving the load flow equation

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    *

    1

    * *

    1

    *1

    ......................... 1, 2,........

    1......................................................................

    n

    i i i ij j

    j

    n

    i i i ii i i ij j

    jj i

    ni i

    i ij j

    jii ij i

    P Q V Y V i n

    P Q V Y V V Y V

    P QV Y V

    Y V

    * *

    1

    * *

    1

    .................(1)

    .......................................................................................(2)

    Im .......

    n

    i i ii i i ij j

    jj i

    n

    i i ii i i ij j

    jj i

    P RE V Y V V Y V

    Q ag V Y V V Y V

    ...........................................................................(3)

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    CONTD

    At the beginning of an iterative method, a set of

    values for the unknown quantities are chosen.

    These are then update at each iteration.

    The process continues till errors between all theknown and actual quantities reduce below a pre-

    specified value.

    The Gauss-Seidel method needs much iteration to

    achieve the desired accuracy,

    And there is no guarantee for the convergence.

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    2.3.1.1. ALGORITHM

    Step 0: Formulate and Assemble Ybusin Per Unit

    Step 1: Assign Initial Guesses to Unknown Voltage

    Magnitudes and Angles

    Step 2:For Load Buses, calculate from this equation

    Where k iteration number

    For voltage-controlled busses, calculate Qi byequation (4) and check limits then find by equation

    (5)

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    1..... 0V

    ( 1)

    *

    1

    1 nk i ii ij j

    jii ij i

    P QV Y V

    Y V

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    CONTD

    However, is specified for voltage-controlled

    busses. So,

    Step 3: Check Convergence

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    ( 1) * *

    1

    Im .................................................(4)n

    k

    i i ii i i ij j

    jj i

    Q ag V Y V V Y V

    ( 1)

    * 1

    1.............................................................(5)

    nk i i

    i ij jjii ij i

    P QV Y V

    Y V

    ( 1) ( 1)

    ,

    k k

    i i i calcuV V spec

    ( 1)k

    i iV V

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    CONTD

    If the difference is greater than tolerance, return to

    Step 2. If the difference is less than tolerance, the

    solution has converged; go to Step 4.

    Step 4: Find Slack Bus Power PGand QG

    Step 5: Find All Line Flows16

    * *

    1

    n

    i i ii i i ij j

    jj i

    P RE V Y V V Y V

    * *

    1

    Imn

    i i ii i i ij j

    jj i

    Q ag V Y V V Y V

    ( )ij i j ijI V V y

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    CONTD

    The power loss in line (i- j) is the algebraic sum of

    the power flows determined in equation (6) and (7).

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    ( )ji j i jiI V V y

    * ........................................(7)ji j jiS V I

    *.....................................................(6)ij i ijS V I

    Lji ij jiS S S

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    2.3.1.2. GAUSS-SEIDELMATLABCODE

    Gauss-seidal matlab cod

    2.3.2. NEWTON-RAPHSON METHOD

    It is an iterative method which approximates the set

    of non-linear simultaneous equations to a set of

    linear simultaneous equations using Taylors seriesexpansion and the terms are limited to first order

    approximation.

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    http://c/Users/User/Desktop/power%20flow/GShttp://c/Users/User/Desktop/power%20flow/GShttp://c/Users/User/Desktop/power%20flow/GShttp://c/Users/User/Desktop/power%20flow/GShttp://c/Users/User/Desktop/power%20flow/GShttp://c/Users/User/Desktop/power%20flow/GS
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    CONTD

    Power flow equation

    Real power in terms of Vi, , and Yij

    Reactive power

    Newton- Raphson matrix form:

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    1

    ( )..........................................(8)n

    i i j ij ij ij ij

    j

    P V V G Cos B Sin

    1

    ( )..........................................(9)n

    i i j ij ij ij ij

    j

    Q V V G Sin B Cos

    1 2

    3 4

    J JP

    J JQ V

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    2.3.2.1. ALGORITHMNEWTON-RAPHSON

    Step 1: Formulate and Assemble Ybusin Per Unit

    Step 2: Assign Initial Guesses to Unknown Voltage

    Magnitudes and Angles

    Step 3: Compute Piand Qifor each load bus from

    the Equations (8) and (9).

    Step 4: Determine the Mismatch Vector for

    Iteration k

    20

    1..... 0V

    (k)

    i

    (k)

    i

    P

    Q

    ( ) ( )k Sch k

    i i iP P P

    ( ) ( )k Sch k

    i i iQ Q Q

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    CONTD

    For PV buses, the exact value of Qiis not specified,

    but its limits are known.

    If the calculated value of Qiis within limits, only is

    calculated.

    If the calculated value of Qiis beyond the limits,

    then an appropriate limit is imposed and is also

    calculated by subtracting the calculated value of Qi

    from the appropriate limit.

    The bus under consideration is now treated as a

    load bus.

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    CONTD

    Step 5: Determine the Jacobian Matrix using the

    estimated value in step-2

    Step 6: Obtain

    Step 7: Update the voltage and angle start next

    iteration cycle at step 2 with this modified value.22

    1 2

    3 4

    J JJ

    J J

    ( ) ( )From matrixk ki iV and

    ( ) (k)

    i

    (k)( )i

    P\

    Q

    k

    i

    k

    i

    VJ

    ( 1) ( ) ( )k k k

    i i i

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    CONTD

    Step 8: Continue until scheduled errors for all buses

    are within a specified tolerance

    Step 9: Find Slack Bus Power PGand QGfrom

    Equation (8) and (9). Step 10: Compute Line Flows and Total Line

    Losses from Equation (6) and (7)

    23

    ( 1) ( ) ( )k k ki i iV V V

    ( )k

    iQ

    ( )k

    iP

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    2.3.2.2. NEWTON-RAPHSONMATLABCODE

    Newton-raphson matlab code

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    http://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NRhttp://c/Users/User/Desktop/power%20flow/NR
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    4. CONCLUSION

    The result of power flow study is the magnitude and

    phase angle of the voltage at each bus, and the

    real and reactive power flowing in each line.

    This information is essential in long term

    planning,

    It helps in choosing the best unit commitment plan

    and generation schedules to run the system

    efficiently

    Rate of convergence of Newton-Raphson method is

    fast as compared to the Gauss -Seidal program and

    also it is suitable for large size system.25

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