Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control

Nanda, J.; Mishra, Sukumar; Saikia, Lalit Chandra

doi:10.1109/tpwrs.2009.2016588

Cited by 385 publications

(245 citation statements)

References 17 publications

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“…Bacteria exhibits swarm behavior, i.e., healthy bacteria tries to attract other bacterium so that together they reach the desired location (solution point) more rapidly. The effect of swarming [10] is to make the bacteria congregate into groups and moves as concentric patterns with high bacterial density. Mathematically swarming behavior can be modeled ( ) …”

Section: Bacterial Foraging Optimization Techniquementioning

confidence: 99%

“…Special attention is therefore given to the behavior of network parameters, control equipments as they affect the voltage and frequency regulation during the restoration process which in turn reflects in PSASRAI. More Recent and powerful evolutionary computational technique Bacterial Foraging Optimization [BFO] [9][10][11] is found to be user friendly and is adopted for simultaneous optimization of several parameters for both primary and secondary control loops of the governor. In order to compensate for sudden load changes, an active power source with fast response such as Redox Flow Batteries (RFB) has a wide range of applications such as power quality maintenance of decentralized power supplies.…”

Section: Introductionmentioning

confidence: 99%

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Ancillary Service Requirement Assessment Indices for the Load Frequency Control in a Restructured Power System with Redox Flow Batteries

Chandrasekar¹,

Paramasivam²,

Chidambaram³

2016

Journal of Electrical Engineering and Technology

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-This paper proposes various design procedures for computing Power System Ancillary Service Requirement Assessment Indices (PSASRAI) for a Two-Area Thermal Reheat Interconnected Power System (TATRIPS) in a restructured environment. In an interconnected power system, a sudden load perturbation in any area causes the deviation of frequencies of all the areas and also in the tie-line powers. This has to be corrected to ensure the generation and distribution of electric power companies to ensure good quality. A simple Proportional and Integral (PI) controllers have wide usages in controlling the Load Frequency Control (LFC) problems. So the design of the PI controller gains for the restructured power system are obtained using Bacterial Foraging Optimization (BFO) algorithm. From the simulation results, the PSASRAI are calculated based on the settling time and peak over shoot concept of control input deviations of each area for different possible transactions. These Indices are useful for system operator to prepare the power system restoration plans. Moreover, the LFC loop coordinated with Redox Flow Batteries (RFB) has greatly improved the dynamic response and it reduces the control input requirements and to ensure improved PSASRAI, thereby improving the system reliability.

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Section: Bacterial Foraging Optimization Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ancillary Service Requirement Assessment Indices for the Load Frequency Control in a Restructured Power System with Redox Flow Batteries

Chandrasekar¹,

Paramasivam²,

Chidambaram³

2016

Journal of Electrical Engineering and Technology

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“…Many investigations in the field of LFC for an interconnected system have been reported in literature over past few decades, which emphasizes on LFC pertaining to a thermal system and relatively a lesser attention has been contributed towards the LFC of a Hydro-Thermal system of widely different characteristics [17][18][19][20][21][22]. In this paper, investigation has been carried out for a TAHTIPS in which small perturbations was made to occur in area-1 and in area-2 and their impact on optimum selection of controller gain settling has been assessed based on the various Restoration Indices.…”

Section: Modeling Of a Two-area Hydro-thermal Reheat Interconnected Pmentioning

confidence: 99%

“…Any mismatch between actual and contracted demands will result in frequency deviations that will drive LFC to re dispatch the GENCOs according to ACE participation factors, i.e., apf 11, apf 12, apf 21 and apf 22 . The state space representation of the minimum realization model of ' N ' area interconnected power system may be expressed as [25].…”

Section: Modeling Of a Two-area Hydro-thermal Reheat Interconnected Pmentioning

confidence: 99%

Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller

Thirunavukarasu¹,

Paramasivam²,

Chidambaram³

2013

IJCA

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This paper proposes, various design procedures for computing Power System Restoration Assessment Indices (PSRAI) for a Two-Area Hydro-Thermal Reheat Interconnected Power System (TAHTRIPS) in a restructured environment with a loadfrequency controller optimized using Bacterial Foraging Optimization (BFO) algorithm. In the restructured scenario, as various types of apparatus with large capacity may enhance fast power consumption which causes serious problem in the frequency oscillations. The oscillation of system frequency may sustain and grow to cause stability problems in the system if no adequate damping is provided. The disturbances to the power system due to a small load change can even result in wide deviation in system frequency which is referred as load-frequency control problem. Quick system restoration is of prime importance not only based on the time of restoration and also stability limits also plays a very vital role in power system restoration problems due to unexpected load variations in power systems. The simple conventional Proportional plus Integral (P-I) controllers are still popular in power industry for frequency regulation as in case of any change in system operating conditions new gain values can be computed easily even for multi-area power systems. This paper focus on the computation of various PSRAI for TAH(with mechanical governor) -TRIPS and TAH (with Electric governor)-TRIPS unit based on the settling time concept, The design of the Proportional plus Integral (PI) controller gains are tuned using Bacterial Foraging Optimization (BFO) algorithm. These controllers are implemented to achieve a fast restoration time in the output responses of the system when the system experiences with various step load perturbations. In this paper the PRSAI are calculated for different types of possible transactions and the necessary remedial measures to be adopted are also suggested.

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“…Many researchers have started to analyze possible new LFC schemes and regulation solutions, with paradigms suited for the energy market scenarios [4]- [9]. In this paper bilateral contract scheme under restructured power system is taken for analysis.…”

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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Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control

Cited by 385 publications

References 17 publications

Ancillary Service Requirement Assessment Indices for the Load Frequency Control in a Restructured Power System with Redox Flow Batteries

Ancillary Service Requirement Assessment Indices for the Load Frequency Control in a Restructured Power System with Redox Flow Batteries

Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller

Hybrid Fuzzy Controller Based Frequency Regulation in Restructured Power System

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