Design of decentralized biased dual mode controller for load frequency control of an interconnected power system with AC/DC tie lines

Selvakumaran, Sivasakthy; Rajasekaran, V.

doi:10.1109/ipecon.2010.5697122

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…In this case, the objective function ISE is considered; as it is considered in the work of Mohanty et al 15 given by Equation 8, the same objective function is considered for proper comparison. [23] BFOA tuned PI controller [11] GA tuned PI controller [11] DE tuned PI controller [12] MFO tuned PI comtroller DE tuned PI controller [12] BFOA tuned PI controller [11] GA tuned PI controller [11] MFO tuned PI controller MFO tuned DMC GA tuned PI controller [11] hBFOA-PSO tuned PI controller [23] BFOA tuned PI controller [11] DE tuned PI controller [12] MFO tuned PI controller [11] hBFOA-PSO tuned PI controller [23] BFOA tuned PI controller [11] DE tuned PI controller [12] MFO tuned PI controller…”

Section: Extension To Multiarea Hybrid Sources Power Systemmentioning

confidence: 99%

“…MFO tuned DMC GA tuned PI controller [11] hBFOA-PSO tuned PI controller [23] BFOA tuned PI controller [11] DE tuned PI controller [12] MFO tuned PI controller The switching vector and feedback gains of SMC and DMC are optimized with the MFO technique. For a 1% step load change in area 1, the optimization process was repeated several times.…”

Section: Time In Secondsmentioning

confidence: 99%

“…Chatterjee, Velusami and Chidambaram, and Ansari and Velusami implemented dual‐mode controller (DMC) successfully in an AGC system showing improved system performance. Dual‐mode controller is simple in structure and easy to implement for load frequency control . The concept of DMC is applied to PI controller when the rate of change of area control error (ACE) is greater than the specified value proportional controller that is active and when it is less than the specified value integral controller that is active .…”

Section: Introductionmentioning

confidence: 99%

“…Dual-mode controller is simple in structure and easy to implement for load frequency control. 23 The concept of DMC is applied to PI controller when the rate of change of area control error (ACE) is greater than the specified value proportional controller that is active and when it is less than the specified value integral controller that is active. 24 Parmar et al 13 reported that BAT algorithm tuned dual-mode PI controller performs better than conventional PI and fuzzy gain scheduling PI controller for a 2-area thermal-thermal system.…”

mentioning

confidence: 99%

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Moth‐flame optimization algorithm optimized dual‐mode controller for multiarea hybrid sources AGC system

Mohanty

Acharyulu

Hota

2017

Optim Control Appl Methods

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Summary A new algorithm called moth‐flame optimization (MFO) algorithm is proposed to optimize a dual‐mode controller (DMC) for a multiarea hybrid interconnected power system. Initially, a 2‐area nonreheat system is considered. The optimum gains of DMC and proportional‐integral controller are optimized using the MFO algorithm. The superiority of the proposed approach is established while comparing the results with genetic algorithm, bacterial forging optimization algorithm, differential evolution, and hybrid bacterial forging optimization algorithm particle swarm optimization for the same system. The proposed approach is further extended to 2 unequal areas of a 6‐unit hybrid‐sources interconnected power system. The optimum gain of DMC and sliding mode controller (SMC) is optimized with MFO algorithm. The performance of an MFO tuned DMC is compared with particle swarm optimization and genetic algorithm tuned DMC, MFO tuned SMC, and teaching‐learning–based optimization optimized SMC for the same system. Furthermore, robustness analysis is performed by varying the system parameters from their nominal values. It is observed that the optimum gains obtained for nominal condition need not be reset for a wide variation in system parameters.

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