1972
DOI: 10.1109/tpas.1972.293518
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Optimum Load-Frequency Continuous Control with Unknown Deterministic Power Demand

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Cited by 52 publications
(6 citation statements)
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“…To access the performance of the proposed controller under unknown deterministic power demand, DP d1 was taken to be slowly time-varying and given by Ref. [39],…”
Section: Performance Of the Proposed Controller Under Unknown Determimentioning
confidence: 99%
“…To access the performance of the proposed controller under unknown deterministic power demand, DP d1 was taken to be slowly time-varying and given by Ref. [39],…”
Section: Performance Of the Proposed Controller Under Unknown Determimentioning
confidence: 99%
“…A rapidly growing interest in load-frequency control (LFC) has been in the power engineering field over many decades. The authors [1][2][3][4][5] using optimal control methods were found since 1970s, and these papers have applied the solutions of the stateregulator problem to the LFC problem. However, direct application of the optimum linear-state regulator for LFC cannot be possible since the power demand in a power system always varies from time to time.…”
Section: Introductionmentioning
confidence: 99%
“…The controllers for AGC utilized are Proportional and Integral (PI), Proportional-IntegralDerivative (PID), and optimal controllers. Other types of controllers based on optimal control theory [6][7][8] and variable structure control theory have also been used [9][10][11]. The gain of the controllers can be optimized to control fast transient recovery and low overshoot in the dynamic response of the system.…”
Section: Introductionmentioning
confidence: 99%
“…The gain of the controllers can be optimized to control fast transient recovery and low overshoot in the dynamic response of the system. Many authors have used gain setting of PI controllers based on integral squared error [6][7][8][9]. PI controllers improve steady state error with little or no overshoot for the frequency variations.…”
Section: Introductionmentioning
confidence: 99%