Centralized and decentralized AGC schemes in 2-area interconnected power system considering multi source power plants in each area

Hakimuddin, Nizamuddin; Khosla, Anita; Garg, Jitendra Kumar

doi:10.1016/j.jksues.2018.07.003

Cited by 15 publications

(15 citation statements)

References 28 publications

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“…Further, the authors have also addressed future research and its use in industrial applications. In a brief, some of the control techniques which have been implemented in the decentralized power system are: model predictive control [18]- [20], neural networks based load frequency control [22], PID based automatic generation control [23]. Optimization-based control schemes have also been employed in the designing of decentralized controller, e.g., non-linear programming (NLP) [24], genetic algorithm (GA) [25], particle swarm optimization (PSO) algorithm [26], and references therein.…”

Section: B Decentralized Control Techniquesmentioning

confidence: 99%

A Comprehensive Review of Power Flow Controllers in Interconnected Power System Networks

et al. 2020

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Energy security is one of the most crucial factor in the development of any nation. Interconnections among different power system networks are made to lower the overall price of power generation as well as enhance the reliability and the security of electric power supply. Different types of interconnection technologies are employed, such as AC interconnections, DC interconnections, synchronous interconnections, and asynchronous interconnections. It is necessary to control the power flow between the interconnected electric power networks. The power flow controllers are used to (i) enhance the operational flexibility and controllability of the electric power system networks, (ii) improve the system stability and (iii) accomplish better utilization of existing power transmission systems. These controllers can be built using power electronic devices, electromechanical devices or the hybrid of these devices. In this paper, control techniques for power system networks are discussed. It includes both centralized and decentralized control techniques for power system networks. This paper also presents a comprehensive review of HVDC interconnections, asynchronous AC interconnections, synchronous AC interconnections and different types of power flow controllers used in these interconnections. Moreover, some important and multivariable flexible AC transmission system (FACTS) devices such as UPFC and IPFC are also discussed with their merits and limitations. Finally, a new asynchronous AC link called flexible asynchronous AC link (FASAL) system is also described in detail. At last, a summary of the comparative analysis of power system link and power flow controllers is given based on recent publications. More than 400 research articles and papers on the topic of power transfer control are covered in this review and appended for a quick reference.

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Section: B Decentralized Control Techniquesmentioning

confidence: 99%

A Comprehensive Review of Power Flow Controllers in Interconnected Power System Networks

et al. 2020

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“…The researchers previously addressed the issues of Automatic Generation Control [13][14]. For a single area as well as a multi-source interconnected power system, a resilient and decentralized controller [15][16][17][18][19][20][21][22] is proposed. The AGC keeps the system stable by performing generation control as needed to meet load demand.…”

Section: Introductionmentioning

confidence: 99%

AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm

Oleiwi

Sultan

2021

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The aim of conventional AGC is to regulate the demand load of the area with taking into account the sharing power with the others area and also the frequency deviation and tie-line power deviation within minimum error steady-state. The proposed coordination's goal is to regulate the demand load between the interconnected area when taking into account the optimal dispatch and emission effect. The two-area that be consist of three units in each one (hydro, thermal, and gas) is used of proposed system. The optimization algorithms were used to find the best operating point of the system by tuning the integral gain are located in ACE that named primary control and Generation allocation logic named secondary controller. The Particle Swarm Optimization (PSO) and Sine Cosine Algorithm (SCA) are used to tune gains of the integral (I) controller to show the superiority in identifying robust controller. The simulation results prove that the SCA with proposed coordination is very effectiveness as compared with PSO algorithm in enhance the dynamic performance and reduce overshoot, maximum frequency deviation, and net tie line power flow deviation error for a given load change and disturbed the demand load between two-area as economic.

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“…The state vector feedback AGC controller design by using optimal control theory to attain better system performance was carried out in References 2–9. Besides the state feedback controllers, output feedback, decentralized controllers were reported out in References 10–14, suboptimal control (in case measurement from all the states are not available) were also reported in References 15, 16, which are more practical types of AGC controllers.…”

Section: Introductionmentioning

confidence: 99%

“…The power system structural changes due to variations of types of generation, MW of generation and scheduled load demand, however, were not incorporated in References 1–40, 44–48. Therefore, this article presents a novel AGC study of design and performance investigation of generation‐based PID structured AGC controller in 2‐area multisources power system with power generation of using hydro, thermal, and gas based energy sources.…”

Section: Introductionmentioning

confidence: 99%

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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Centralized and decentralized AGC schemes in 2-area interconnected power system considering multi source power plants in each area

Cited by 15 publications

References 28 publications

A Comprehensive Review of Power Flow Controllers in Interconnected Power System Networks

A Comprehensive Review of Power Flow Controllers in Interconnected Power System Networks

AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm

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

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