A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Singh, Bindeshwar; Sharma, Nikhil; Tiwari, Ashutosh

doi:10.5370/jeet.2010.5.1.079

Cited by 27 publications

(6 citation statements)

References 150 publications

(245 reference statements)

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“…Many researchers have suggested various FACTS devices, optimization algorithms [4,6,14], control strategies [10] and tuning methods [10] for FACTS devices. For finding the optimal location, various algorithms proposed such as Genetic algorithm [7], Particle swarm optimization [8,9,13], Gravitational Search Algorithm [16], Evolutionary programming [17], Evolutionary algorithm [19], a novel method [20], Moth flame algorithm [15] are used in previous studies.…”

Section: Literature Surveymentioning

confidence: 99%

Installation cost estimation of IPFC for Power Loss Reduction in Transmission lines using Firefly Algorithm

Thippana

Parimi

Chandram³

2020

Wseas Transactions on Power Systems

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Firefly algorithm is proposed in this article for placement of Interline power flow controller (IPFC) to reduce power loss of a transmission line and cost estimation. The IPFC is one of the series FACTS devices. It can control active and reactive power of multiple transmission lines. Power loss reduction, improvement of efficiency of the transmission line and enhancement of voltage profile are major issues in the power transmission system. The average power loss in the system is taken as the objective function with various constraints and then cost is estimated. The code has been developed in MATLAB (Version 2019) and executed on personal computer. The proposed algorithms has been tested on IEEE 5 bus system and the results are presented. It is noticed that the proposed algorithm provides best results in terms of power loss and installation cost with less computational time.

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Section: Literature Surveymentioning

confidence: 99%

Installation cost estimation of IPFC for Power Loss Reduction in Transmission lines using Firefly Algorithm

Thippana

Parimi

Chandram³

2020

Wseas Transactions on Power Systems

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“…For linear time-invariant systems, PFs have been defined as the relative contributions of state variables to the evolution of system modes, or as the relative contributions of system modes to the evolution of states. Subsequently, the concept of PFs gained widespread use in power engineering and other applications for analyzing stability (Verghese et al, 1982;Song et al, 2019), reducing dynamic models (Chow, 2013), determining the optimal placement of sensors and stabilizers (Singh et al, 2010), and solving clustering problems (Genk et al, 2005). The interpretation of PFs has been expanded in terms of the sensitivity of eigenvalues (Pagola et al, 1989), modal controllability and observability (Hamdan, Nayfeh, 1989), and modal mobility (Tawalbeh, Hamdan, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Lyapunov modal analysis and participation factors with applications to small-signal stability of power systems

Iskakov¹,

Yadykin²

2019

Preprint

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When random disturbances are regularly introduced into a dynamical system over time, its small-signal stability is determined by the energy of perturbations accumulated in the system. To analyze this perturbation energy, this paper proposes a novel physically motivated Lyapunov modal analysis (LMA) framework, which combines selective modal analysis with the spectral decompositions of specially chosen Lyapunov functions. This approach allows the modal interactions in dynamical systems to be characterized and estimated in connection with specific state variables. Conventional participation factors characterize the relative contribution of the system modes and state variables to the evolution of states and modes, respectively. In contrast, the proposed Lyapunov participation factors characterize similar contributions to corresponding Lyapunov functions, which determine the integral energy associated with the states and modes on an infinite or finite time interval. This allows the estimation of modal interactions in terms of total energy produced by their mutual actions over time. Using a two-area four-machines power system, we demonstrate that LMA reliably identifies resonant modal interactions, merging of modes, and loss of stability, even for a linear model, and associates them with certain state variables. The Lyapunov participation factors corresponding to the selected part of the system spectrum can be calculated independently and serve as a basis for rapid real-time calculations of critical mode behaviors in large-scale dynamical systems.

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“…A.Kumar et al [6] explains about the Impact of TCPAR on Cluster-Based Congestion Management Using Improved Performance Index. B.Singh et al [9] effectively describes the Coordination Control Techniques of FACTS Controllers in Multi-Machine Power System. In this paper, real power flow sensitivity index is calculated for the optimal location of TCPAR by using Power World Simulator Software version 12.0.…”

Section: Ddevaraj Et Al [3]mentioning

confidence: 99%

Effective Location of Thyristor Controlled Phase Angle Regulator (Tc-Par) for Congestion Management

Singh

Rajderkar

2013

IJPSOEM

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FACTS is one aspect of the power electronics revolution that is taking place in all areas of electric energy. FACTS devices can be an alternative to reduce the flows in heavily loaded lines, resulting in an increased loadability, low system loss, improved stability of the network, reduced cost of production and fulfilled contractual requirement by controlling the power flows in the network. This paper investigates a methodology for placement of thyristor controlled phase angle regulator (TCPAR) in order to relieve congestion in the transmission lines while increasing static security margin and voltage profile of a given power system. Sensitivity-Based Methodology is opted for finding the optimal location The effectiveness of the purposed methods is demonstrated on modified IEEE 30-bus system by using Power World Simulator Software version 12.0.

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A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Cited by 27 publications

References 150 publications

Installation cost estimation of IPFC for Power Loss Reduction in Transmission lines using Firefly Algorithm

Installation cost estimation of IPFC for Power Loss Reduction in Transmission lines using Firefly Algorithm

Lyapunov modal analysis and participation factors with applications to small-signal stability of power systems

Effective Location of Thyristor Controlled Phase Angle Regulator (Tc-Par) for Congestion Management

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