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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.5
- 발행연도
- 2015.9
- 수록면
- 1,940 - 1,949 (10page)
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초록· 키워드
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This paper presents an Enhanced Particle Swarm Optimization (EPSO) to solve short-term hydrothermal scheduling (STHS) problem with non-convex fuel cost function and a variety of operational constraints related to hydro and thermal units. The operators of the conventional PSO are dynamically controlled using exponential functions for better exploration and exploitation of the search space. The overall methodology efficiently regulates the velocity of particles during their flight and results in substantial improvement in the conventional PSO. The effectiveness of the proposed method has been tested for STHS of two standard test generating systems while considering several operational constraints like system power balance constraints, power generation limit constraints, reservoir storage volume limit constraints, water discharge rate limit constraints, water dynamic balance constraints, initial and end reservoir storage volume limit constraints, valve-point loading effect, etc. The application results show that the proposed EPSO method is capable to solve the hard combinatorial constraint optimization problems very efficiently.
목차
Abstract
1. Introduction
2. Problem Formulation
3. Proposed EPSO
4. Simulation Results
5. Conclusion
References
참고문헌 (25)
참고문헌 신청
[학술지(정기간행물)] - V. Senthil Kumar / 2011 / A genetic algorithm solution to the optimal short-term hydrothermal scheduling / Electrical Power and Energy Systems 33 : 827 ~ 835
[학술지(정기간행물)] - N. Amjady / 2010 / Daily hydrothermal generation scheduling by a new modified adaptive particle swarm optimization technique / Electric Power Systems Research 80 : 723 ~ 732
[단행본] - J. Kennedy / 2001 / Swarm intelligence / Morgan Kaufmann Publishers
[학술지(정기간행물)] - D. N. Jeyakumar / 2006 / Particle swarm optimization for various types of economic dispatch problems / Electrical Power and Energy Systems 28 : 36 ~ 42
[학술지(정기간행물)] - A. Safari / 2011 / Iteration particle swarm optimization procedure for economic load dispatch with generator constraints / Expert Systems with Applications 38 : 6043 ~ 6048
[학술지(정기간행물)] - N. Amjady / 2010 / Daily hydrothermal generation scheduling by a new modified adaptive particle swarm optimization technique / Electric Power Systems Research 80 : 723 ~ 732
[단행본] - J. Kennedy / 2001 / Swarm intelligence / Morgan Kaufmann Publishers
[학술지(정기간행물)] - D. N. Jeyakumar / 2006 / Particle swarm optimization for various types of economic dispatch problems / Electrical Power and Energy Systems 28 : 36 ~ 42
[학술지(정기간행물)] - A. Safari / 2011 / Iteration particle swarm optimization procedure for economic load dispatch with generator constraints / Expert Systems with Applications 38 : 6043 ~ 6048
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