Bilateral based robust load frequency control

Bevrani, Hassan; Mitani, Yasunori; Tsuji, Kiichiro; Bevrani, Hossein

doi:10.1016/j.enconman.2004.06.024

Cited by 44 publications

(18 citation statements)

References 11 publications

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“…A lot of studies have been made about AGC in a restructured power industry over last decades. These studies try to modify the conventional LFC system [30] to take into account the effect of bilateral contracts on the dynamics [12] and improve the dynamical transient response of the system under competitive conditions [9,18,19]. This paper proposes a control scheme that guarantees a minimum transient deviation and ensures zero steady state error.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Shree

Kamaraj²

2016

International Journal of Electrical Power & Energy Systems

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Section: Introductionmentioning

confidence: 99%

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Shree

Kamaraj²

2016

International Journal of Electrical Power & Energy Systems

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“…Possible issues in Frequency control in energy market were discussed in [1]. Vertically integrated structure, Bilateral based scheme modeling was discussed in [2] [3]. Many researchers have started to analyze possible new LFC schemes and regulation solutions, with paradigms suited for the energy market scenarios [4]- [9].…”

Section: Introductionmentioning

confidence: 99%

Integral Performance Criteria Based Analysis of Load Frequency Control in Bilateral Based Market

Anitha¹,

Subburaj²

2016

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“…Possible issues in Frequency control in energy market were discussed in [1]. Vertically integrated structure and bilateral based scheme modeling were discussed in [2] [3]. Different approaches like pluralistic and hierarchical methods were discussed and quoted in [4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System

Anitha¹,

Subburaj²

2016

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This paper discusses the implementation of Load Frequency Control (LFC) in restructured power system using Hybrid Fuzzy controller. The formulation of LFC in open energy market is much more challenging; hence it needs an intelligent controller to adapt the changes imposed by the dynamics of restructured bilateral contracts. Fuzzy Logic Control deals well with uncertainty and indistinctness while Particle Swarm Optimization (PSO) is a well-known optimization tool. Abovementioned techniques are combined and called as Hybrid Fuzzy to improve the dynamic performance of the system. Frequency control of restructured system has been achieved by automatic Membership Function (MF) tuned fuzzy logic controller. The parameters defining membership function has been tuned and updated from time to time using Particle Swarm Optimization (PSO). The robustness of the proposed hybrid fuzzy controller has been compared with conventional fuzzy logic controller using performance measures like overshoot and settling time following a step load perturbation. The motivation for using membership function tuning using PSO is to show the behavior of the controller for a wide range of system parameters and load changes. Error based analysis with parametric uncertainties and load changes is tested on a two-area restructured power system.

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Bilateral based robust load frequency control

Cited by 44 publications

References 11 publications

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system

Integral Performance Criteria Based Analysis of Load Frequency Control in Bilateral Based Market

Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System

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