© The Institution of Engineering and Technology
This study proposes a novel methodology that employs fuzzified binary real coded artificial bee colony (ABC) algorithm for solving multiobjective unit commitment problem. On solving unit commitment problem, the proposed binary coded ABC algorithm finds the ON/OFF status of the generating units whereas the economic dispatch is solved using the real coded ABC. Here, three conflicting functions such as fuel cost, emission and reliability level of the system are considered. These functions are formulated as a single objective optimisation problem using the fuzzy set theory. Also, the fuzzy membership design variables are tuned using real coded ABC thereby requirement of expertise for setting these variables are eliminated. The proposed method is validated on six unit system, IEEE 30 bus system, ten unit system, 40 unit system and IEEE RTS 24 bus system. The effectiveness of the proposed technique is demonstrated by comparing its performance with other methods reported in the literature.
References


1)

W. Lei ,
M. Shahidehpour ,
L. Tao
.
Stochastic securityconstrained unit commitment.
IEEE Trans. Power Syst.
,
800 
811

2)

S.J. Wang ,
S.M. Shahidehpour ,
D.S. Kirschen ,
S. Mokhtari ,
G.D. Irisarri
.
Shortterm generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation.
IEEE Trans. Power Syst.
,
1294 
1301

3)

H. Ma ,
S.M. Shahidehpour
.
Unit commitment with transmission security and voltage constraints.
IEEE Trans. Power Syst.
,
757 
764

4)

T.S. Dillon ,
K.W. Edwin ,
H.D. Kochs ,
R.J. Taud
.
Integer Programming approach to the problem of optimal unit commitment with probabilistic reserve determination.
IEEE Trans. Power Appar. Syst.
,
6 ,
2154 
2166

5)

H.B. Gooi ,
D.P. Mendes ,
K.R.W. Bell ,
D.S. Kirschen
.
Optimal scheduling of spinning reserve.
IEEE Trans. Power Syst.
,
4 ,
1485 
1490

6)

J.J. Cai ,
X.Q. Ma ,
Q. Li ,
L.X. Li ,
H.P. Peng
.
A multiobjective chaotic ant swarm optimization for environment/economic dispatch.
Electr. Power Energy Syst.
,
337 
344

7)

L.F. Wang ,
C. Singh
.
Environmental/economic power dispatch using a fuzzified multiobjective particle swarm optimization algorithm.
Electr. Power Syst. Res.
,
12 ,
1654 
1664

8)

K. Vinothkumar ,
M.P. Selvan
.
Fuzzy embedded genetic algorithm method for distributed generation planning.
Electr. Power Compon. Syst.
,
4 ,
346 
366

9)

S. Hemamalini ,
S.P. Simon
.
Emission constrained economic dispatch with valvepoint effect using Maclaurin series based Lagrangian method.
Int. J. Power Energy Convers.
,
1 
18

10)

M.S. Osman ,
M.A. AboSinna ,
A.A. Mousa
.
An ɛdominancebased multiobjective genetic algorithm for economic emission load dispatch optimization problem.
Electr. Power Syst. Res.
,
1561 
1567

11)

J.X. Xu ,
C.S. Chang ,
X.W. Wang
.
Constrained multiobjective global optimization of longitudinal interconnected power system by genetic algorithm.
IEE Proc. Gener. Transm. Distrib.
,
5 ,
435 
446

12)

P. Venkatesh ,
R. Gnanadass ,
N.P. Padhy
.
Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints.
IEEE Trans. Power Syst.
,
2 ,
688 
697

13)

Karaboga D.: ‘An idea based on honey bee swarm for numerical optimization’. Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.

14)

D. Karaboga ,
B. Basturk
.
On the performance of artificial bee colony (ABC) algorithm.
Appl. Soft Comput.
,
1 ,
687 
697

15)

Li, Z., Chen, X., Yu, K., Sun, Y., Liu, H.: `A hybrid particle swarm optimization approach for distribution network reconfiguration problem', Power and Energy Society General Meeting – Conversion and Delivery of Electrical Energy in the 21st Century, IEEE, 2008, p. 1–7.

16)

N. Sinha ,
R. Chakrabarti ,
P.K. Chattopadhyay
.
Evolutionary programming techniques for economic load dispatch.
IEEE Trans. Evol. Comput.
,
1 ,
83 
94

17)

P.K. Hota ,
A.K. Barisal ,
R. Chakrabarti
.
Economic emission load dispatch through fuzzy based bacterial foraging algorithm.
Int. J. Electr. Power Energy Syst.
,
7 ,
794 
803

18)

S. Hemamalini ,
S.P. Simon
.
Maclaurin seriesbased Lagrangian method for economic dispatch with valvepoint effect.
IET Gener. Transm. Distrib.
,
9 ,
859 
871

19)

S. Hemamalini ,
S.P. Simon
.
Artificial bee colony algorithm for economic load dispatch problem with nonsmooth cost functions.
Electr. Power Compon. Syst.
,
7 ,
786 
803

20)

L. Xuebin
.
Study of multiobjective optimization and multiattribute decisionmaking for economic and environmental power dispatch.
Electr. Power Syst. Res.
,
5 ,
789 
795

21)

M.A. Abido
.
Multiobjective particle swarm optimization for environmental/economic dispatch problem.
Electr. Power Syst. Res.
,
7 ,
1105 
1113

22)

M. Basu
.
Dynamic economic emission dispatch using nondominated sorting genetic algorithmII.
Electr. Power Energy Syst.
,
140 
149

23)

The IEEE Reliability Test System1996.
IEEE Trans. Power Syst.
,
3 ,
1010 
1020
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