Comparison of different robust control methods in design of decentralized UPFC controllers

Taher, Seyed Abbas; Hemmati, Reza; Abdolalipour, Ali; Akbari, Shahabeddin

doi:10.1016/j.ijepes.2012.04.026

Cited by 21 publications

(6 citation statements)

References 29 publications

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“…The non-linear system equations can be linearized around an operating point. These can be expressed as [7]:…”

Section: Non-linear System Equationsmentioning

confidence: 99%

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A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller

Khadanga

Satapathy

2015

International Journal of Electrical Power & Energy Systems

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“…The non-linear system equations can be linearized around an operating point. These can be expressed as [7]:…”

Section: Non-linear System Equationsmentioning

confidence: 99%

“…Tuning of the damping controller of the UPFC is an uphill task as the structure is highly complex [7,8]. The literature study shows that the conventional techniques are very time consuming, convergence rate is slow, being iterative, requires substantial computational burden [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller

Khadanga

Satapathy

2015

International Journal of Electrical Power & Energy Systems

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“…Over the years, different conventional soft‐computing techniques have been proposed and applied for the damping controller tuning problem . The conventional techniques are associated with some drawbacks like time consuming, slow rate of convergence, iterative, requirement of substantial computational burden etc …”

Section: Introductionmentioning

confidence: 99%

“…6 The conventional techniques are associated with some drawbacks like time consuming, slow rate of convergence, iterative, requirement of substantial computational burden etc. [7][8][9] Gravitational search algorithm (GSA) is a recent developed algorithm which works mainly on the law of gravity and interaction of masses. 10 The advantages of GSA algorithm are easy to implement, simple concept, and very efficient as far as computational work is concerned.…”

Section: Introductionmentioning

confidence: 99%

A hybrid gravitational search and pattern search algorithm for tuning damping controller parameters for a unified power flow controller—A comparative approach

Khadanga

Satapathy

2017

Int J Numerical Modelling

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This paper mainly focuses on the development of a hybrid gravitational search algorithm and the pattern search (hGSA‐PS) algorithm for the optimal tuning of a unified power flow controller (UPFC) ‐based damping controller. The optimal parameter assessment for a damping controller craves a decisive tuning method, which can reduce the system error, thus improves the system stability. The design problem associated with the proposed controllers is formulated as an optimization problem and the hGSA‐PS is used to find the UPFC‐based damping controller parameters. Thus, by achieving the optimal settings of the variables of the damping controller, the damping of the system is reduced, and concurrently stability of the system is maintained. A detailed investigation is carried out considering the 4 alternatives UPFC‐based damping controller. As evidence, the numerous system response curves confirm that the planned hybrid GSA‐PS algorithm achieves improved performance compared with the conventional algorithms and the recent hybrid GA‐GSA algorithm. The proposed work basically compares the hGSA‐PS algorithm with the recent developed hybrid GA‐GSA algorithm and the conventional GSA algorithm by considering the convergence rate. Finally, the stability performance of a Simulink‐based 2 area 4‐machine power system is analyzed by applying the hGSA‐PS algorithm. From the simulation results, it can be presumed that the proposed hybrid approach is the best method for outlining the UPFC‐based damping controller.

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“…Synchronous generator, UPFC, STATCOM, and SVC are the wellknown components which apply internal or supplementary controllers [1]. In order to reach a suitable performance, many different control methods have been utilized in power systems [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Optimal Adaptive Controller Based on STATCOM and UPFC

Hemmati¹,

Koofigar²,

Ataei³

2016

Journal of Electrical Engineering and Technology

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-In this paper, an advanced and modified MRAS technique is utilized for controller design in electric power systems. The weighting factors of the proposed MRAS are tuned by using PSO. This optimal-adaptive controller is also normalized by normalization techniques to guarantee the system stability. The proposed MRAS then is applied to design STATCOM stabilizer and UPFC power flow controller. STATCOM stabilizer is a regulatory controller, while the power flow controller of UPFC is a tracking one. Therefore, the ability of the proposed MRAS technique to design regulatory and tracking controllers is investigated. In order to indicate the effectiveness of the proposed method, it is evaluated against the conventional methods. Simulation results demonstrate the validity of the method, under uncertainties and different disturbances.

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Comparison of different robust control methods in design of decentralized UPFC controllers

Cited by 21 publications

References 29 publications

A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller

A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller

A hybrid gravitational search and pattern search algorithm for tuning damping controller parameters for a unified power flow controller—A comparative approach

Optimal Adaptive Controller Based on STATCOM and UPFC

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