Open Access   Article Go Back

Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique

Samir Dey1 , Abhinab Ray2 , Subhadip Goswami3 , Kousik Roy4

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-18 , Page no. 245-250, May-2019

Online published on May 25, 2019

Copyright © Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy, “Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.18, pp.245-250, 2019.

MLA Style Citation: Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy "Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique." International Journal of Computer Sciences and Engineering 07.18 (2019): 245-250.

APA Style Citation: Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy, (2019). Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique. International Journal of Computer Sciences and Engineering, 07(18), 245-250.

BibTex Style Citation:
@article{Dey_2019,
author = {Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy},
title = {Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {18},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {245-250},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1372},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1372
TI - Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Samir Dey, Abhinab Ray, Subhadip Goswami, Kousik Roy
PY - 2019
DA - 2019/05/25
PB - IJCSE, Indore, INDIA
SP - 245-250
IS - 18
VL - 07
SN - 2347-2693
ER -

           

Abstract

Environmental awareness and the recent environment protecting policies have extremely spurred many electric utilities to regulate their practices to account for the emission impacts. This paper proposes a new fuzzy multi-objective optimization approach to solve a multi-objective nonlinear programming problem in context of a power system optimization model. We have been developed a multi-objective power system optimization model in fuzzy environment. Here, the objectives are (i) to minimize the fuel cost and (ii) to minimize the emission level simultaneously while satisfying the power balance and generation limit constraints. In this model, the design variables are the generator power output. The model is tackled through interactive fuzzy optimization technique and the approach is tested on a system of 3-generators with transmission losses. The empirical results demonstrate the effectiveness of the proposed method.

Key-Words / Index Term

Economic and emission dispatch, Multi-objective problem, Fuzzy interactive method

References

[1] J.Nanda, D.P.Kothari, &K.S. Lingamurthy, Economic-emission load dispatch through goal programming techniques, Journal of IEEE Trans Energy Convers, Vol.3,Issue.1,pp.26-32,1988.
[2] R.Yokoyama, S.H.,& Bae, T. Morita.,Multi-objective optimal generation dispatch based on probability security criteria, Journal of IEEE Trans Power Systems, Vol.3,Issue.1, pp.317-324,1988.
[3] Li. Xuebin.,Study of multi-objective optimization and multi-attribute decision making for economic and environmental power dispatch, Journal of Electric Power System Research,Vol.23,pp.789-795,2009.
[4] Feng. Peiyan &Chen.Yanqiao, Study on load optimal dispatching based on fuzzy multi-objective optimization, Journal of Electric Power Science and Engineering,Vol.23,Issue.4,pp.11-15,2007.
[5] K.Miettinen, Interactive nonlinear multi-objective procedures, Multiple Criteria Optimization: state of the art Annotated Bibliographic Surveys, edited by M. Ehrogott and X.Gandibleux, Kluwer Academic Publishers,pp.227-256,2002.
[6] H.Z. Huanga, Y.K. Gub & X. Duc, An interactive fuzzy multi-objective optimization method for engineering design, Engineering Applications of Artificial Intelligence,Vol.19,pp.451-460,2006.
[7] R. Bellman & L.A. Zadeh, Decision making in a fuzzy environment, Management Science,Vol-17B(4),pp.141-164,1970.
[8] H.J. Zimmermnn, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems,1,45-55,1978.
[9] A.P. Wierzbicki, The use of reference objectives in multi-objective optimization, Lecture Notes in Economics and Mthemtical Systems,Vol.177,pp.468-486,1980.
[10] M. Sakawa & K. Yauchi, An interactive fuzzy satisfying method for multiobjective nonconvex programming problems with fuzzy numbers through convolutionary genetic algorihms, IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernatics,Vol.31,pp.459-467,2001.