Maiden application of Ziegler-Nichols method to AGC of Distributed Generation System

Mallesham, G.; Mishra, Sukumar; Jha, A. N.

doi:10.1109/psce.2009.4840262

Cited by 25 publications

(15 citation statements)

References 11 publications

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“…These sources must be coordinated and controlled from a central station [6] . Traditionally PI controllers are used [7] for microgrid to perform automatic generation control. [8] focuses on inverter-based control in a microgrid, while the DC source considered is not focused on.…”

Section: Introductionmentioning

confidence: 99%

Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment

Kumar¹,

Venkateshwarlu²

2019

IJRTE

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Abstract:There is a growing concern to be self-sufficient and reduce the dependency on external power generating sources to satisfy the energy demands. Issues such as integrated operation of these power sources without having a dedicated storage system with enhanced frequency regulation is to be addressed. In this paper, the distributed generating sources like solar photovoltaic, diesel generator, fuel cells and electric vehicles are considered. Electric vehicle participation in the frequency regulation comes with constraints on state of charge of the battery and availability of the vehicle. An adaptive-additive algorithm is proposed for performing energy resource management and to maintain the frequency within the allowable band during transient and steady state system conditions. Load variation and EV-fleet availability variations are considered in the paper for understanding the system's response to frequency changes by performing small-signal-analysis. The results show coordinated and satisfactory response of the system to maintain frequency regulation. Economic viability is also focused in the paper.

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Section: Introductionmentioning

confidence: 99%

Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment

Kumar¹,

Venkateshwarlu²

2019

IJRTE

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“…The limitations of trial and error approach were overcome to some extent in our previous paper using Ziegler's-Nichol method [8], where we have adopted a sequential approach to get the tuned controller parameters in the absence of GRC. However, this method is suitable for lower order systems in the absence of nonlinearity like GRC.…”

Section: Introductionmentioning

confidence: 99%

Design of controller and communication for frequency regulation of a smart microgrid

Mishra

Mallesham

Jha

2012

IET Renew. Power Gener.

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In this study an isolated microgrid comprising both controllable and uncontrollable sources, like solar, wind, diesel generator, fuel cell, aqua-electrolyser, hydrogen storage and battery is considered. To establish an efficient resource management strategy, a central controller takes the decisions based on the status of the loads and sources. The status is obtained with the help of multi-agent concept (treating each load and source as an agent) through internet using User Datagram Protocol/Internet Protocol (UDP/IP). The decisions are transmitted to the controllable sources to regulate their power output for damping of frequency excursion following a disturbance. A control strategy is adopted to regulate the power output from the battery only during transient, resulting in a floating battery scheme in steady state. This will reduce the ampere hour rating of the battery and can improve the damping of frequency excursion following each load disturbance. In a microgrid with generation rate constraint (GRC), tuning of controller parameters and frequency bias is a nonlinear optimisation problem. Hence, this study attempts to tune the controller parameters using an evolutionary technique named bacterial foraging optimisation (BFO). The tuned gains obtained utilising BFO method give satisfactory frequency excursion following a disturbance in the microgrid.

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“…Mallesham et al in [21] have investigated the load frequency control of DG consisting of WTG, solar and DEG. The frequency bias calculation is very important in the power system dynamics and plays the key role in controller gains.…”

Section: Introductionmentioning

confidence: 99%

“…This factor directly affects the individual components like diesel generators and, finally, overall performance of the DGs. So the selection of frequency bias is very crucial and has been addressed in [21]. In this work, energy storage devices are not considered.…”

Section: Introductionmentioning

confidence: 99%

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2010

ijeei

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In this paper, a conventional thermal power plant with single stage reheat turbine is taken into consideration. It is equipped with AVR, IEEE type dual input PSS3B and integral controlled AGC loop. A hybrid distributed generation (DG) system consisting of wind turbine generators, aqua electrolyzer, fuel cells, diesel engine generator, flywheel energy storage system and battery energy storage system is configured. This hybrid DG system is integrated with the grid connected thermal unit. The different tunable parameters of this integrated power system are optimized by a novel craziness-based PSO with wavelet mutation (CRPSOWM), developed by the authors. While integrating the DG with the thermal power system, improved transient performance is noticed. Further improvement in the transient performance is observed with the usage of capacitive energy storage unit in the AGC loop of conventional power generation scheme. The proposed CRPSOWM incorporates a wavelettheory-based mutation operation and offers robust and promising results. J SE J SE J SE J SE J SE 4.6397 4.1163 3.6478 3.6164 2.6274 2.6161 1.1636 0.9167 2.6609 0.6124 A. Chatterjee, et al. m p J SE J SE J SE J SE J SE 5.

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Maiden application of Ziegler-Nichols method to AGC of Distributed Generation System

Cited by 25 publications

References 11 publications

Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment

Integrated Operation of Distributed Resources to Enhance Frequency Regulation in an Isolated Microgrid Environment

Design of controller and communication for frequency regulation of a smart microgrid

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