2019
DOI: 10.1109/access.2019.2900047
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Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation

Abstract: Load frequency control (LFC) is playing an indispensable role to achieve the secure and economic operation of power grids. However, the existing LFC schemes either may rely on a nonlinear grid model under perfect operating condition with nominal parameters, or they may adopt a complicated control structure of high order. These LFC schemes may have poor control performance or even loss of stability in real-time implementation due to the grid uncertainties and the change of system operation scenarios. Consequent… Show more

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Cited by 45 publications
(28 citation statements)
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References 39 publications
(52 reference statements)
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“…The detailed information of FLA is available in the literature. 36,37 The FLA mainly consists of three blocks, viz, fuzzification, inference engine, and defuzzification. Here, Mamdani type FLA is employed.…”
Section: Multistage Pid Controllermentioning
confidence: 99%
“…The detailed information of FLA is available in the literature. 36,37 The FLA mainly consists of three blocks, viz, fuzzification, inference engine, and defuzzification. Here, Mamdani type FLA is employed.…”
Section: Multistage Pid Controllermentioning
confidence: 99%
“…The proposed topology-based approach for placement, control, and securing FACTS devices is implemented for the small 49-bus, moderate 274-bus, and a large 1,176-bus systems of references [68], [69], and [70], respectively. For the 274-bus and 1,176 bus systems, the emphasis is on the effectiveness of the proposed approach for obscuring the critical data for moderate/large networks.…”
Section: Implementation Of the Proposed Cyber Constrained Placemementioning
confidence: 99%
“…The Newton Raphson algorithm has reached the solution after 28 iterations. The bus voltage magnitudes of all busses before and after using the FACTS controllers are illustrated in [68] for power flow analysis: Bus number, bus voltage magnitude |V | in volts, angle of bus θ, net active power of the bus P n in MW, and the net reactive power of the bus Q n in MVar. MVar) 1 380 0 -35 -12 26 347 -12 -33 -17 2 366 -10 45 12 27 338 -11 127 45 3 372 -5 -39 45 28 358 -9 212 67 4 Equivalently, there is 101 MW power flow increase with using FACTS controllers.…”
Section: A Simulations and Analyses Of 49-bus Systemmentioning
confidence: 99%
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“…Numerous factors such as membership function, fuzzy rules, transfer function model, number of input and output layers and method of training the network can affect the output of the designed controller. Additionally, implementation of such controller in real-time for ALFC application is a cumbersome process and requires field expertise [8], [10], [11]. Therefore, the gain parameters of classical controllers are obtained using population-based evolutionary computational intelligence approaches such as GA [10], PSO [12], QOHSA [13], GOA [14], HHO [15], HBFO [16], HIF-PS [17], BA [18],QSHO [19]and other numerous approaches for controlling the ACE of interconnected multiarea multi-source power system.…”
Section: Introductionmentioning
confidence: 99%