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논문 기본 정보

자료유형
학술저널
저자정보
Min Jeong Kim (Konkuk Univerity) Hyoung-Yong Song (Konkuk Univerity) Jong-Bae Park (Konkuk Univerity) Jae-Hyung Roh (Konkuk Univerity) Sang Un Lee (Gangneung-Wonju National Univerity) Sung-Yong Son (Gachon Univerity, Korea)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.1
발행연도
2013.1
수록면
80 - 89 (10page)

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초록· 키워드

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This paper presents an efficient approach for solving economic dispatch (ED) problems with nonconvex cost functions using a ‘Mean-Variance Optimization (MVO)’ algorithm with Kuhn-Tucker condition and swap process. The aim of the ED problem, one of the most important activities in power system operation and planning, is to determine the optimal combination of power outputs of all generating units so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. This paper applies Kuhn-Tucker condition and swap process to a MVO algorithm to improve a global minimum searching capability. The proposed MVO is applied to three different nonconvex ED problems with valve-point effects, prohibited operating zones, transmission network losses, and multi-fuels with valve-point effects. Additionally, it is applied to the large-scale power system of Korea. The results are compared with those of the state-of-the-art methods as well.

목차

Abstract
1. Introduction
2. Formulation of Economic Dispatch Problem
3. Overview of Mean-Variance Optimization
4. Improved MVO Algorithm with Kuhn-Tucker Condition and Swap Process
5. Implementation of Improved MVO Algorithm for Economic Dispatch Problems
6. Numerical Tests
7. Conclusions
References
Appendix

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