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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.5 No.4
- 발행연도
- 2010.11
- 수록면
- 552 - 560 (9page)
이용수
초록· 키워드
오류제보하기
This paper presents an application of layered Artificial Neural Network controller to study load frequency control problem in power system. The objective of control scheme guarantees that steady state error of frequencies and inadvertent interchange of tie-lines are maintained in a given tolerance limitation. The proposed controller has been designed for a two-area interconnected power system. Only one artificial neural network controller (ANN), which controls the inputs of each area in the power system together, is considered. In this study, back propagation-through time algorithm is used as neural network learning rule. The performance of the power system is simulated by using conventional integral controller and ANN controller, separately. For the first time comparative study has been carried out between SMES and CES unit, all of the areas are included with SMES and CES unit separately. By comparing the results for both cases, the performance of ANN controller with CES unit is found to be better than conventional controllers with SMES, CES and ANN with SMES.
목차
Abstract
1. Introduction
2. AGC In Two-Area Power System
3. SMES System
4. Capacitive Energy Storage
5. Neural Network
6. Stability of Control Loops
7. Result Analysis
8. Conclusions
References
Appendix-1
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UCI(KEPA) : I410-ECN-0101-2012-560-003619867