A generalized approach for determination of optimal location and performance analysis of FACTs devices

Rao, R. Srinivasa; Rao, V. Srinivasa

doi:10.1016/j.ijepes.2015.06.004

Cited by 37 publications

(16 citation statements)

References 35 publications

(48 reference statements)

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“…The approaches used for FACTS devices' optimum position are categorized in two ways: index-based methods and optimization-based methods. One of the leading developments in the current power scenario is to use FACTS with optimization methods [13,14]. In different CM techniques, FACTS equipment's effect on congestion and its costs are addressed in the literature [15].…”

Section: Flexible Ac Transmission Systems Devices (Facts)mentioning

confidence: 99%

A survey on recent advances in transmission congestion management

Gajjala

Ahmad

2021

IRASE

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For the last few decades, the power sector has been restructuring throughout the world, and because of this, congestion is bound to take place in the network. Congestion can lead to market failure, violate transmission capability limits and high electricity prices, and end up threatening the power systems’ reliability and security. Increased congestion may also lead to unexpected price differences in power markets leading to market power. In a deregulated power market (DPM), the independent system operator (ISO)’s fundamental challenge is to preserve the power market’s reliability and safety by improving market efficiency when the network is congested. Therefore, congestion management (CM) is essential in DPM and is the key to the power system. This paper carries out a congestion management methods survey to bring together all recent publications in the DPM. It aims to help readers summarize progressive CM methods, along with traditional CM methods that have been discussed so far. In this paper, we have carried out a comparative survey of the various well-known CM methods.

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Section: Flexible Ac Transmission Systems Devices (Facts)mentioning

confidence: 99%

A survey on recent advances in transmission congestion management

Gajjala

Ahmad

2021

IRASE

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“…

{\bar{V}}_{i}

{\bar{V}}_{j}

, and

{\bar{V}}_{n}

are the complex voltages at bus‐

i

(sending end of the line), bus‐

n

(UPFC's auxiliary bus) and bus‐

j

(receiving end), respectively. These voltages in the rectangular form are defined by (10) while the active and reactive power flow equations with UPFC are given in (11)–(16) [28].

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ \begin{matrix} left1em4pt \\ {\bar{V}}_{sh} = V_{sh} ∠ δ_{sh} = V_{sh} (\cos δ_{sh} + j \sin δ_{sh}) \\ {\bar{V}}_{se} = V_{se} ∠ δ_{se} = V_{se} (\cos δ_{se} + j \sin δ_{se}) \\ {\bar{V}}_{i} = V_{i} ∠ δ_{i} = V_{i} (\cos δ_{i} + j \sin δ_{i}) \\ {\bar{V}}_{n} = V_{n} ∠ δ_{n} = V_{n} (\cos δ_{n} + j \sin δ_{n}) \\ \bar{V} \end{matrix}\} \end{matrix}

…”

Section: Static Modelling Of Factsmentioning

confidence: 99%

“…These voltages in the rectangular form are defined by (10) while the active and reactive power flow equations with UPFC are given in (11)–(16) [28].

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ \begin{matrix} left1em4pt \\ {\bar{V}}_{sh} = V_{sh} ∠ δ_{sh} = V_{sh} (\cos δ_{sh} + j \sin δ_{sh}) \\ {\bar{V}}_{se} = V_{se} ∠ δ_{se} = V_{se} (\cos δ_{se} + j \sin δ_{se}) \\ {\bar{V}}_{i} = V_{i} ∠ δ_{i} = V_{i} (\cos δ_{i} + j \sin δ_{i}) \\ {\bar{V}}_{n} = V_{n} ∠ δ_{n} = V_{n} (\cos δ_{n} + j \sin δ_{n}) \\ {\bar{V}}_{j} = V_{j} ∠ δ_{j} = V_{j} (\cos δ_{j} + j \sin δ_{j}) \end{matrix}\} \end{matrix}

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ P_{in}^{normalu} = & V_{i}^{2} G_{in} - V \end{matrix}

…”

Section: Static Modelling Of Factsmentioning

confidence: 99%

Coordination of multi‐type FACTS for available transfer capability enhancement using PI–PSO

Sadiq

Buhari²,

Adamu³

et al. 2020

IET Generation, Transmission & Distribution

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“…(36). Without change in principle, this is applicable for the determination of FACTS location in congestion management [39][40][41][42][43]. Accordingly, when power flow congestion limits the power transfer transaction, Eq.…”

Section: Formation Of Reduced Search Space For Facts Locationmentioning

confidence: 99%

“…∂P I 2 may indicate these higher loadings as noncritical. Masking is the inability of ∂P I 2 to discriminate between several higher loadings and a huge violation [43]. Consequently, sensitivity-based FACTS locations may exhibit masking.…”

Section: Masking Effect In Pi Sensitivitiesmentioning

confidence: 99%

Available transfer capability enhancement with FACTS using hybrid PI-PSO

Sadiq¹,

Adamu²,

Buhari³

2019

Turk J Elec Eng & Comp Sci

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In deregulation, growth in electrical loads necessitates improving power delivery, while nondiscriminatory access to transmission grid is a requirement. Deregulation causes a significant rise in transactions, which requires adequate transfer capability to secure economic transactions. In sustainable power delivery, FACTS devices are deployed to enhance available transfer capability (ATC). However, the high investment cost of FACTS makes the problem formulation a multiobjective optimization: power transfer maximization and minimization of FACTS sizes. Furthermore, due to the complexity in optimizing the control variables of voltage source converter types of FACTS, often the solution results in local optima and high computational time. This paper proposes a hybrid of real power flow performance index sensitivity (∂P I) and particle swarm optimization (PI-PSO) to solve the multiobjective optimization of ATC maximization with minimum FACTS sizes using continuation power flow. ∂P I identifies some high-potential locations with enhanced ATC at minimum FACTS size to constitute the PSO's reduced search space. As ∂P I may exhibit masking effects, iterative nexponent and Newton's divided difference approaches are proposed to reduce masking. The proposed PI-PSO is implemented with a thyristor control series compensator and static synchronous series compensator for both bilateral and multilateral transactions. Results show the effectiveness of the proposed PI-PSO over PSO regarding convergence characteristics, avoidance of local optima, and superior ATC values.

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A generalized approach for determination of optimal location and performance analysis of FACTs devices

Cited by 37 publications

References 35 publications

A survey on recent advances in transmission congestion management

A survey on recent advances in transmission congestion management

Coordination of multi‐type FACTS for available transfer capability enhancement using PI–PSO

Available transfer capability enhancement with FACTS using hybrid PI-PSO

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