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Paper Information

Journal:   SCIENTIA IRANICA   2014 , Volume 21 , Number 3 (TRANSACTIONS D: COMPUTER SCIENCE AND ENGINEERING AND ELECTRICAL ENGINEERING); Page(s) 870 To 884.
 
Paper: 

TEACHING-LEARNING-BASED OPTIMIZATION FOR DIERENT ECONOMIC DISPATCH PROBLEMS

 
 
Author(s):  BHATTACHARJEE K., BHATTACHARYA A.*, HALDER NEE DEY S.
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, NATIONAL INSTITUTE OF TECHNOLOGY, AGARTALA, TRIPRA, 799055, INDIA
 
Abstract: 

This paper presents a Teaching-Learning-Based Algorithm (TLBO) to solve Economic Load Dispatch (ELD) problems involving dierent linear and non-linear constraints. The problem formulation also considers non-convex objective functions including the eect of valve-point loading and the multi-fuel option of large-scale thermal plants. Many diculties, such as multimodality, dimensionality and dierentiability, are associated with the optimization of large scale non-linear constraint based non-convex economic load dispatch problems. TLBO is a population-based technique which implements a group of solutions to proceed to the optimum solution. TLBO uses two dierent phases, ' Teacher Phase' and ' Learner Phase', and uses the mean value of the population to update the solution. Unlike other optimization techniques, TLBO does not require any parameter to be tuned, thus, making its implementation simpler. TLBO uses the best solution of the iteration to change the existing solution in the population, thereby increasing the convergence rate. In the present paper, Teaching-Learning-Based Optimization (TLBO) is applied to solve such types of complicated problems eciently and eectively, in order to achieve a superior quality solution in a computationally ecient way. Simulation results show that the proposed approach outperforms several existing optimization techniques. Results also proved the robustness of the proposed methodology.

 
Keyword(s): ECONOMIC LOAD DISPATCH, PROHIBITED OPERATING ZONE, RAMP RATE LIMITS, TEACHING-LEARNING OPTIMIZATION, VALVE-POINT LOADING
 
 
References: 
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Click to Cite.
APA: Copy

BHATTACHARJEE, K., & BHATTACHARYA, A., & HALDER NEE DEY, S. (2014). TEACHING-LEARNING-BASED OPTIMIZATION FOR DIERENT ECONOMIC DISPATCH PROBLEMS. SCIENTIA IRANICA, 21(3 (TRANSACTIONS D: COMPUTER SCIENCE AND ENGINEERING AND ELECTRICAL ENGINEERING)), 870-884. https://www.sid.ir/en/journal/ViewPaper.aspx?id=405866



Vancouver: Copy

BHATTACHARJEE K., BHATTACHARYA A., HALDER NEE DEY S.. TEACHING-LEARNING-BASED OPTIMIZATION FOR DIERENT ECONOMIC DISPATCH PROBLEMS. SCIENTIA IRANICA. 2014 [cited 2021May07];21(3 (TRANSACTIONS D: COMPUTER SCIENCE AND ENGINEERING AND ELECTRICAL ENGINEERING)):870-884. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=405866



IEEE: Copy

BHATTACHARJEE, K., BHATTACHARYA, A., HALDER NEE DEY, S., 2014. TEACHING-LEARNING-BASED OPTIMIZATION FOR DIERENT ECONOMIC DISPATCH PROBLEMS. SCIENTIA IRANICA, [online] 21(3 (TRANSACTIONS D: COMPUTER SCIENCE AND ENGINEERING AND ELECTRICAL ENGINEERING)), pp.870-884. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=405866.



 
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