• 한국조명전기설비학회지:조명전기설비
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• 제13권2호
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• pp.234-234
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• 1999

The aim of this paper is to suggest a design method of the optimal model following control system using genetic algorithm (GA). This control system is designed by applying GA with reference model to the optimal determination of weighting matrices Q, R that are given by LQ regulator problem. The method to do this is that all the diagonal elements of weighting matrices are optimized simultaneously by GA, in the search domain selected adequately. And we design the model following control system to boi1er-turbine equipment by the proposed method. The model following control system designed by this method has the better command tracking performance than that of the control system designed by the trial-and-error method. The effectiveness of this control system is verified by computer simulation.

• 대한기계학회논문집B
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• 제24권7호
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• pp.967-975
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• 2000

Transient characteristics of a boiler and turbine system for a steam power plant are simulated. One-dimensional unsteady models are introduced for each component. An interaction between boiler and turbine and a control of the water level in the drum are taken into account. Transient responses of the system to the variations of main system variables such as fuel and air flow rate, cooling water injection rate at the attemperator, gas recirculation rate at the furnace and opening of the turbine control valve are examined. Effect of fluid inertia and tube wall thermal inertia on predicted dynamic behavior is investigated.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.1638-1639
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• 2007

This paper proposes an adaptive Dynamic Matrix Control (DMC) using Fuzzy Inference and its application to boiler-turbine system. Nine Step Response Models (SRM) at various operating points are represented as fuzzy inference rules. On-line fuzzy inference is performed at every sampling step to find the suitable SRM. Therefore, the proposed adaptive DMC can consider the nonlinearity of boiler-turbine system.

• Korean Chemical Engineering Research
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• 제59권1호
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• pp.60-67
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• 2021

본 연구에서는 CO2 포집을 포함하는 500 MWe 급 전기를 생산하는 순산소 석탄화력발전소에 대한 공정흐름도를 제시하였고, 기술경제성 평가를 수행하였다. 이 석탄화력발전소는 순환 유동층 보일러(CFB), 초초 임계 증기 사이클 증기 터빈, 보일러에서 배출되는 배기가스내 수분과 오염물질을 제거하는 배기가스 정제 장치(FGC), 산소 분리 초저온 공정(ASU), 이산화탄소를 분리하는 극저온 공정(CPU)을 포함한다. 건식 배기가스 재순환(FGR)은 CFB연소기내 온도 제어와 고농도 CO2 배출을 위하여 사용되었다. 이 순산소 석탄화력발전소의 열효율을 증가시키기 위하여 FGR 흐름에 대한 열교환, ASU에서 배출되는 질소 흐름에 대한 열교환, 그리고 CPU 내 기체 압축기의 열 회수를 고려하였다. FGR열교환기의 온도차(ΔT)의 감소는 배기가스의 더 많은 폐열 회수를 의미하며, 전기 및 엑서지 효율을 증가시켰다. FGR열교환기의 ΔT가 10 ℃ 에서 FGR과 FGC 주변의 연간 비용이 최소가 되었다. 이때, 전기 효율은 39%, 총투자비는 1371 M$, 총생산비용은 90 M$, 그리고 투자수익률은 7%/y, 그리고 투자회수기간은 12년으로 예측되었다. 본 연구를 통하여 순산소 석탄화력발전소의 열효율 향상을 위한 열교환망이 제시되었고, FGR 열교환기의 최적 운전 조건이 도출되었다.

• 대한전기학회논문지:전력기술부문A
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• 제48권2호
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• pp.127-135
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• 1999

Multivarialbe Boiler-Turbine H_\infty Control System Genetic Algorithm Weighting Functions $W_1$(s), $W_2$(s), and design parameter $\gamma$ that are given by Glover-Doyle algorithm, to optimally follow the output of reference model. The first method to do this is that the gains of weighting functions $W_1$(s), $W_2$(s), and design parameter are optimized simultaneously by genetic algorithm with the tournament method that can search more diversely, in the search domain which guarantees the robust stability of system. And the second method is that not only by genetic algorithm with the roulette-wheel method that can search more fast, in that search domain. The boiler-turbine H_\infty control system designed by theabove second method has not only the robust stability to a modeling error but also the the better command tracking preformance than those of the H_\infty control system designed by trial-and-error method and the above first method. Also, this boiler-turbine H_\infty control system has the better performance than that of the LQG/LTR contro lsystem. The effectiveness of this boiler-turbineH_\infty control system is verified by computer simulation.