Automatic Generation Control in Restructured Power System with Capacitive Energy Storage and Communication Delay Based Cascaded Controller

Sanki, Prasun; Basu, Mousumi; Pal, Partha Sarathi

doi:10.1109/vlsidcs47293.2020.9179859

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Some of the studies in the literature have considered the nonlinearities such as governor dead band (GDB), boiler dynamics (BD), generation rate constraints (GRC) and reheat turbines (RT). [3][4][5][6][7][8][9][10] The RT nonlinearity is accounted in studies. 4,8,9 The RT along with GDB is implemented in Reference 3.…”

Section: Dpmmentioning

confidence: 99%

“…[3][4][5][6][7][8][9][10] The RT nonlinearity is accounted in studies. 4,8,9 The RT along with GDB is implemented in Reference 3. The combination of GRC, RT and GDB is incorporated by the authors in Reference 5.…”

Section: Dpmmentioning

confidence: 99%

“…Various optimization methods such as genetic algorithm, 20 differential evolution (DE), 21 firefly algorithm (FA), 22 particle swarm optimization (PSO), 23 ant‐lion optimizer (ALO), 3 teaching learning‐based optimization with pattern search (TLBO‐PS), 6 quasi oppositional search, 7 moth flame optimization (MFO), 8 sine cosine algorithm (SCA) 9 etc. have been applied in deregulated AGC for retrieval of the suitable gains of the SCM.…”

Section: Introductionmentioning

confidence: 99%

“…Authors in Reference 6 studied deregulated AGC of a two‐area system with a thermal and a gas GENCO units in each area and in later studies it is extended to six GENCOs. Investigations in References 7,8 studied a two area AGC with two thermal GENCOs units in each area. In Reference 9, researchers investigated a two‐area deregulated AGC with thermal‐hydro‐gas GENCO units in each area.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Liberalized automatic generation control of interconnected thermal‐hydro‐gas system using firefly algorithm optimized PID controller

Khare

Raju

Gupta

et al. 2023

Int J Numerical Modelling

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In liberalized power system, the distribution companies are free to choose the contracts with all available generating companies (GENCOs), while the independent system operator acting as regulatory authority. In this article, the liberalized automatic generation control problem is studied for a two‐area interconnected power system. The studies are divided into two parts. In first part, the investigations are carried out with only thermal generations in each area. In second part, the multi‐diverse sourced thermal‐hydro‐gas GENCOs are assumed in each control area. For damping out the system frequency and tie‐line power dynamics, the popularly known PI and PID controllers are employed considering poolco, bilateral and contract violation transactions. In both the parts, the comparative performance between PI/PID controllers is made. Studies reveal that PID outperforms PI controller. A case study with introduction of time delay in the system is performed as the open communication infrastructure introduces inherent time delay in the smart grid scenario. To understand the impact of frequency sensitive loads on system dynamics, the effect of variation in damping coefficient (D) is studied and it is shown how the D is influencing the dynamics. The effect of double reheat turbines is also studied and found that they deteriorate the dynamics when compared to single reheat turbines. In all the above studies, the powerful nature inspired firefly algorithm is employed to optimize the parameters of controllers using the integral squared error method.

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