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Particle Swarm Optimization Applied to Generalized Predictive Control of a Solar Power Plant
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- 발행기관
- 보안공학연구지원센터(IJCA) 바로가기
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- 간행물
- International Journal of Control and Automation SCOPUS 바로가기
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- 통권
- Vol.9 No.2 (2016.02)바로가기
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- 페이지
- pp.383-394
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A266852
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In this paper, generalized predictive control based on particle swarm optimization (PSO-GPC) was applied to the control of linear Fresnel distributed collector system, of which the purpose was to reduce the system error in the dynamic process. The main goal of solar thermal power generation system control was to control the collector outlet temperature in a certain range. Using the the rate of heat transfer oil in heat collector as input, outlet temperature as output and solar radiation intensity as a disturbance signal, model of Controlled Auto-Regressive Integrated Moving Average(CARIMA）was established. The control task of generalized predictive control (GPC) was to make the actual outlet temperature of systems as close as possible to the desired output trajectory. Gradient optimization without constraints was used to obtain the optimal control input, and gradient optimization with constraints and PSO optimization were matched with each other. A multi-mode hybrid optimization method was formed, which can obtain the optimal control increment of system quickly and accurately. GPC and PSO-GPC technology was applied to Lanzhou 200kW linear Fresnel solar thermal power generation demonstration system. Through the simulation results obtained from actual data we can see that the PSO-GPC control technology can reduce the error of the system dynamic process compared to GPC control technology.
목차
Abstract
1. Introduction
2. Solar Thermal Power Generation System
3. Plant Model of Solar Thermal Power Generation
4. Controller Design
4.1. GPC Algorithm
4.2. PSO-GPC Algorithm
5. Simulation Analysis
6. Conclusion
Reference
키워드
Solar power plant Linear Fresnel collector generalized predictive control Particle swarm optimization저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Control and Automation
- 간기
- 월간
- pISSN
- 2005-4297
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.2
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