A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options

P. S. MANOHARAN; P. S. KANNAN; V. RAMANATHAN

Article Details

A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options

Authors:

P. S. MANOHARAN | P. S. KANNAN | V. RAMANATHAN

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2009 Vol.17 Issue 1, pp.1-19

Document Type:

Article

Publication Date:

12/2008

Document Language:

Turkish

Document ID (Org No.):

2000744028

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

This paper presents a novel approach to multi-area economic  dispatch problems with multiple fuel options using a hybrid  evolutionary programming method.  The objective is to minimize the  operation cost of the entire system while satisfying the tie line  constraints.  In this paper, EP-LMO (Evolutionary Programming with  Levenberg-Marquardt Optimization) technique is proposed to solve  multi-area economic dispatch problems with multiple fuel options.  The  EP-LMO is developed in such a way that a simple evolutionary  programming (EP) is applied as a base level search to find the  direction of the optimal global region.  And Levenberg-Marquardt  Optimization (LMO) method is used as a fine tuning to determine the  optimal solution.  The applicability and validity of the proposed  approach on multi-area economic dispatch problems are presented in two  parts.  In Part I, two multi-area bench mark problems without fuel  options are considered.  In Part II, 10 unit system with both  multi-area and multi-fuel options is considered.  The proposed  approach is compared with the results of Incremental Network Flow  Programming, Spatial Dynamic Programming and Evolutionary Programming  approaches.  The results show that the EP-LMO gives the optimum  generation cost than any other methods.

 

This paper presents a novel approach to multi-area economic  dispatch problems with multiple fuel options using a hybrid  evolutionary programming method.  The objective is to minimize the  operation cost of the entire system while satisfying the tie line  constraints.  In this paper, EP-LMO (Evolutionary Programming with  Levenberg-Marquardt Optimization) technique is proposed to solve  multi-area economic dispatch problems with multiple fuel options.  The  EP-LMO is developed in such a way that a simple evolutionary  programming (EP) is applied as a base level search to find the  direction of the optimal global region.  And Levenberg-Marquardt  Optimization (LMO) method is used as a fine tuning to determine the  optimal solution.  The applicability and validity of the proposed  approach on multi-area economic dispatch problems are presented in two  parts.  In Part I, two multi-area bench mark problems without fuel  options are considered.  In Part II, 10 unit system with both  multi-area and multi-fuel options is considered.  The proposed  approach is compared with the results of Incremental Network Flow  Programming, Spatial Dynamic Programming and Evolutionary Programming  approaches.  The results show that the EP-LMO gives the optimum  generation cost than any other methods.

Article Details

A Novel EP Approach for Multi-area Economic Dispatch with Multiple Fuel Options

Authors: P. S. MANOHARAN | P. S. KANNAN | V. RAMANATHAN

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2009 Vol.17 Issue 1, pp.1-19

Document Type: Article

Publication Date: 12/2008

Document Language: Turkish

Document ID (Org No.): 2000744028

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

P. S. MANOHARAN | P. S. KANNAN | V. RAMANATHAN

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2009 Vol.17 Issue 1, pp.1-19

Document Type:

Article

Publication Date:

12/2008

Document Language:

Turkish

Document ID (Org No.):

2000744028

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632