2016
DOI: 10.1049/iet-gtd.2016.0106
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Design and analysis of fuzzy PID controller with derivative filter for AGC in multi‐area interconnected power system

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Cited by 86 publications
(51 citation statements)
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“…If this mismatch is hampered, it leads to deviations in tie‐power and frequency from actual values . Many research articles are available on AGC in the past . The early works on AGC started with single‐area thermal system and further extended to multiarea thermal systems.…”
Section: Introductionmentioning
confidence: 99%
“…If this mismatch is hampered, it leads to deviations in tie‐power and frequency from actual values . Many research articles are available on AGC in the past . The early works on AGC started with single‐area thermal system and further extended to multiarea thermal systems.…”
Section: Introductionmentioning
confidence: 99%
“…As an important research field in power system operation and control, AGC technique is developed both practically necessary and theoretically interesting. Therefore, many AGC strategies have been proposed as in numerous references, for example, proportional integral differential (PID) [4][5][6], sliding mode control (SMC) [7], self-adaptive control [8], and robust control [9].…”
Section: Introductionmentioning
confidence: 99%
“…In this application, the aperiodic sampled‐data strategy was adopted to address more general case and optimisation problem. The application of these modern controllers also expand to the power system through a hybrid local unimodal sampling‐teaching learning‐based optimisation (LUS‐TLBO) based PID with derivative filter (PIDF) controller . The optimisation provided by the LUS‐TLBO algorithm outperformed the firefly algorithm‐pattern search (FA‐PA) based PID controller, GA and Ziegler‐Nichols (ZN) based conventional proportional‐integral (PI) controller in terms of undershoot, overshoot and settling time in the automatic generation control (AGC) dynamic performance.…”
Section: Introductionmentioning
confidence: 99%