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논문 기본 정보

자료유형
학술저널
저자정보
M. Rajkumar (National College of Engineering) K. Mahadevan (PSNA College of Engineering & Technology) S. Kannan (Kalasalingam University) S. Baskar (Thiagarajar College of Engineering)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.3
발행연도
2013.5
수록면
490 - 498 (9page)

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초록· 키워드

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This paper discusses the application of evolutionary multi-objective optimization algorithms namely Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Modified NSGA-II (MNSGA-II) for solving the Combined Economic Emission Dispatch (CEED) problem with valvepoint loading. The valve-point loading introduce ripples in the input-output characteristics of generating units and make the CEED problem as a non-smooth optimization problem. IEEE 57-bus and IEEE 118-bus systems are taken to validate its effectiveness of NSGA-II and MNSGA-II. To compare the Pareto-front obtained using NSGA-II and MNSGA-II, reference Pareto-front is generated using multiple runs of Real Coded Genetic Algorithm (RCGA) with weighted sum of objectives. Furthermore, three different performance metrics such as convergence, diversity and Inverted Generational Distance (IGD) are calculated for evaluating the closeness of obtained Pareto-fronts. Numerical results reveal that MNSGA-II algorithm performs better than NSGA-II algorithm to solve the CEED problem effectively.

목차

Abstract
1. Introduction
2. Problem Formulation
3. Implementation of NSGA-II and MNSGA-II
4. Performance Metrics
5. Results and Discussion
6. Conclusion
References

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