Sub-optimal automatic generation control of interconnected power system using constrained feedback control strategy

Hasan, Naimul; Ibraheem,; Kumar, Prem; Nizamuddin, .

doi:10.1016/j.ijepes.2012.04.039

Cited by 32 publications

(18 citation statements)

References 31 publications

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“…The incremental power flow through DC link (DPtie dc ) is modeled with incremental change in frequency at rectifier end [47]. The representation of transfer function model of DC link is taken from [45][46][47][48][49][50][51][52] as shown in Fig. 2.…”

Section: Description Of the Power System Model Under Deregulated Envimentioning

confidence: 99%

“…In literature, AGC of a two-area power system interconnected via AC/DC parallel links, is carried out by using optimal AGC regulators in deregulated mode [45,46]. In addition, AC/DC parallel links in conventional power systems are found in the literature employing sliding mode control [14], optimal control [10,[47][48][49], sub-optimal control [50,51] and differential evolution [52] based control techniques.…”

Section: Introductionmentioning

confidence: 99%

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AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment

Arya¹,

Kumar

2016

International Journal of Electrical Power & Energy Systems

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Section: Description Of the Power System Model Under Deregulated Envimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment

Arya¹,

Kumar

2016

International Journal of Electrical Power & Energy Systems

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“…The design of optimal regulators is reported in literature [1,2,6,21,[29][30][31][32][33][34][35][36][37]39,40]. As per linear optimal control theory, the optimal control law for the continuous time dynamic model of power system given in the state variable form by Eq.…”

Section: Design Of Optimal Regulatorsmentioning

confidence: 99%

“…AGC of a deregulated two-area thermal power system interconnected via AC/DC parallel links is reported in the literature [29,30]. Additionally, AC/DC parallel links are effectively used to improve dynamic performance of a traditional interconnected two-area power system for a small step load disturbance by using optimal [31,32] and sub-optimal control [33,34] strategies. Recent literature surveys show that some authors investigated the AGC of power systems having diverse source generations in each system area [35][36][37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

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AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Arya

Kumar

Ibraheem

2015

Optim Control Appl Methods

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Summary In this paper, automatic generation control (AGC) of a two‐area multi‐source power system interconnected via alternating current/direct current (AC/DC) parallel links under restructured power environment is proposed. Each area is equipped with multipower generating sources such as thermal and hydro/gas. To execute the different market contracts in restructured power system, the optimal regulators are designed and implemented using optimal control theory. It is observed that the system dynamic results effectively satisfy the AGC requirements in restructured power system, as well as the system dynamic performance is improved by using AC/DC parallel links in comparison with that obtained with AC link as an area interconnection between the control areas. Furthermore, the eigenvalue study is performed to examine the system stability with and without AC/DC parallel links. Finally, the effectiveness of the optimal regulators is checked for the system under study with physical constraints like time delay, boiler dynamics, generation rate constraints, and governor dead band nonlinearity and variations in system parameters from the nominal values. It is shown that the optimal regulators optimized for linear system are robust enough and work well in the proposed realistic AGC system incorporating physical constraints and wide variations in parameters. Copyright © 2015 John Wiley & Sons, Ltd.

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Generation‐based automatic generation control with multisources power system using bacterial foraging algorithm

Hakimuddin

Nasiruddin

Bhatti

2020

Engineering Reports

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This article presents an application of bacterial foraging algorithm (BFA) for design and implementation of generation‐based PID structured automatic generation control (AGC) in a 2‐area multisources power system with hydro, thermal, and gas power plants incorporated in each area. Most of AGC studies carried out so far have considered the initial system loading to be equal to 50% of the area generation capacity. But, AGC controller parameters are uncertain due to stochastic nature of power demand of the end users. Hence, in this article, the design of AGC controller is proposed on the basis of generation schedule by incorporating changes in power system gain constant, power system time constant, frequency bias constant, and so on. The dynamic responses of power system with BFA tuned AGC controller are compared with the genetic algorithm tuned AGC controller. The parameters of the controllers are evaluated by using these techniques and investigations are carried out to find the best performance of the system. Therefore, it is desirable to find the parameters of the generation‐based controller depending upon the contribution of its constituent hydro, thermal, and gas energy sources in the total power generation.

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Sub-optimal automatic generation control of interconnected power system using constrained feedback control strategy

Cited by 32 publications

References 31 publications

AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment

AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Generation‐based automatic generation control with multisources power system using bacterial foraging algorithm

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