fuzzy coordination of facts
TRANSCRIPT
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 1/30
College
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 2/30
C
2
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 3/30
3
Introduction
Definition and ObjectivesUPFC Model Control Schme
Damping controller
POD controller
Fuzzy logic controllerFuzzification
Interface
Defuzzification
Simulation and Results
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 4/30
N owadays, FACTS devices can be used to control the
power flow and enhance system stability. The problems which
are arised due to interconnections are avoided by using FACTS
devices . The need of FACTS devices are to increase the power
transmission capability .
Modern electrical power systems have grown to a large
complexity due to increasing interconnections, installation of large generating units and extra-high voltage tie-lines etc.
power transmitting in the line is given by
4
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 5/30
5
A lternating current transmission
systems incorporating power electronic based and other static controllers to enhance controllability and increase power transfer capability
D epending up on the connections,FACTS devices are classified as
1. Series connected controllers
2. Shunt connected controllers 3. Series -Series connected controllers
4. Series – Shunt connected controllers
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 6/30
6
• Solve Power Transfer Limit and Stabilityproblems
Power
Transfer
Limit
Thermal
Limit
Voltage
Limit
Stability
Limit
Transiet
Stability
Voltage
Stability
Small
signal
Stability F
A C T S A p p l i c a t i o n ,
C P T I
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 7/30
7
FACTS
Shunt Series
Series-Shunt Series-Series
UPFC IPFC F
A C T S A p p l i c a t i o n ,
C P T I
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 8/30
•
•
•
8
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 9/30
9
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 10/30
The UPFC has several operating modes.
1)VAR control mode:
2) Automatic voltage control mode:
By control of series voltage, UPFC
can be operated in 4 different ways
10
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 11/30
11
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 12/30
CONTROL SCHEME Traditional FACTS Damping Control Scheme
12
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 13/30
P OWER O SCILLATION
D AMPING ) CONTROLLER
13
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 14/30
FUZZY LOGIC CONTROLLER
•
•
•
•
14
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 15/30
• The value “0” represents complete non -
membership and “1” represents complete
membership and values in between represent intermediate degree of membership
• Out of all membership functions triangular
membership function is most popular
FUZZIFIER FUZZY INFERENCE
RULE BASE
DE-FUZZIFIER
Crisp Input
Crisp Output
Fuzzy Input SignalFuzzy Output Signal
15
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 16/30
FUZZIFIER - Converts crisp input into fuzzy input.
RULE BASE –
A
collection of rules referring toparticular system is known as fuzzy rule base.
FUZZY INFERENCE – It refers to computationalprocedures used for evaluating linguistic descriptions
and fuzzy rule basic is applied and fuzzy output isproduced.
DE-FUZZIFICATION – Conversion of fuzzy set tosingle crisp value. Centroid method is employed for
de-fuzzification
16
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 17/30
17
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 18/30
The membership function of the small set is:
18
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 19/30
19
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 20/30
.
20
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 21/30
Defuzzification
T he output of the fuzzy coordination controller is
where i u corresponds to the value of control output for which the
membership values in the output sets are equal to unity.
21
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 22/30
22
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 23/30
23
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 24/30
Case 1: Three-phase fault at Bus 2
24
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 25/30
Case 2: Changing of operation conditions
(Three-phase fault at Bus 3)
25
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 26/30
Case 3: Changing of network parameters
(Three-phase fault at Bus 9)
26
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 27/30
27
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 28/30
28
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 29/30
29
7/30/2019 Fuzzy Coordination of FACTS
http://slidepdf.com/reader/full/fuzzy-coordination-of-facts 30/30