1991
DOI: 10.1016/0378-7796(91)90060-z
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Self-tuning algorithm for automatic generation control in an interconnected power system

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Cited by 58 publications
(19 citation statements)
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“…The gain scheduling control, executed by self-tuning algorithm, has been suggested by Lee et al [9] for AGC study of an interconnected power system. The proportionalintegral (PI) controller gains have been optimized by using genetic algorithm (GA) in Ref.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The gain scheduling control, executed by self-tuning algorithm, has been suggested by Lee et al [9] for AGC study of an interconnected power system. The proportionalintegral (PI) controller gains have been optimized by using genetic algorithm (GA) in Ref.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Sabahi et al [6] have used multi-objective PID controller based on adaptive weighted PSO for AGC of an interconnected system. Lee et al [7] have employed a gain scheduling control strategy for AGC of interconnected power system. Nanda et al [8] have suggested gain scheduling of PI-controller optimized by bacterial foraging optimization technique.…”
Section: Introductionmentioning
confidence: 99%
“…The basis for attaining the regulation function is the tie line bias control concept that is introduced over 50 years ago [18] and widely used to model the power flow between two or more buses [2][3][4][5][6][9][10][11]19,20]. Tie line power deviation ∆P tie i is defined as the deviation power exported to the ith area and is equal to the sum of all outflowing line power changes in the line that connects to the ith area with its neighboring areas:…”
Section: Dynamic Model Of Power Systems With Multiple Areasmentioning
confidence: 99%
“…Studies on the LFC has been reported using a suboptimal LFC regulator to handle the limitation of power systems observability [2,3]. Various adaptive control techniques are proposed for plant parameter changes in [4,5]. Despite the promising concept of adaptive controllers, the control algorithm is too complicated to implement in large scale systems and can show poor transient performance which can be critical in power systems.…”
Section: Introductionmentioning
confidence: 99%