A deterministic approach to locating series flow-controllers within transmission systems to alleviate congestion

Cuffe, Paul; Keane, Andrew

doi:10.1016/j.epsr.2017.09.015

Cited by 4 publications

(4 citation statements)

References 40 publications

(36 reference statements)

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“…1, with the removed line 𝐴 → 𝐶 here shown in a switched out state. As can be seen from this figure, the pre-outage flow of 𝐴 → 𝐶 can be modeled [38] as a fictitious injected generation (𝐺) of 160 mw at bus 𝐴 and a load (𝐿) with the same magnitude at bus 𝐶. Therefore, the maximum feasible magnitude of the paired injected generation 𝐺 at bus 𝐴 and 𝐿 at 𝐶 is of interest as this describes the corresponding line's shadow capacity.…”

Section: B Congestion Relief By Increasing Line Shadow Capacitiesmentioning

confidence: 99%

A Congestion Alleviation Technique Exploiting Structural Insights on the Interaction of Line Loading Limits, Reactance and Line Outage Security Constraints

Beiranvand

Cuffe

2022

IEEE Trans. Power Syst.

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Line outage security constraints ensure that a proposed generating schedule will not load any line to the point where its removal causes more overloading elsewhere. These security constraints increase operating costs by occasionally precluding the usage of the cheapest generation sources. That is, power networks frequently suffer congestion in this (𝑁 − 1) sense. To explore the structural origins of such (𝑁 − 1) congestion, this paper defines a new metric for branches within a grid, shadow capacity, which gauges the maximum flow on a branch before its removal would tend to overload other lines elsewhere. Using this novel metric, we argue the (𝑁 − 1) congestion is a consequence of imbalances in the pattern of line reactances and capacities across a network. To further explore the insights offered by the shadow capacity analysis, a novel methodology to relieve (𝑁 − 1) congestion and hence improve the grid's loadability is developed. This technique adds fixed reactance to certain lines in the grid to boost their shadow capacities. These results show modest alleviation of actual (𝑁 − 1) congestion, which shows the potential value of optimising power networks through the lens of shadow capacity enhancement.

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Section: B Congestion Relief By Increasing Line Shadow Capacitiesmentioning

confidence: 99%

A Congestion Alleviation Technique Exploiting Structural Insights on the Interaction of Line Loading Limits, Reactance and Line Outage Security Constraints

Beiranvand

Cuffe

2022

IEEE Trans. Power Syst.

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“…These devices are based on the considerable combination of power electronic apparatus and approach into the high-voltage side of the system, to make fast and flexible control actions, generally. 4 The unified power flow controller (UPFC) is one of the most beneficial FACTS devices. It consists of a combination of series and shunt voltage source converters (VSCs) with a common dc link that can control one and more power system parameters, including voltage magnitude at the UPFC terminals, active and reactive power flow.…”

Section: Motivationmentioning

confidence: 99%

“…One of the available solutions is to use flexible alternating‐current transmission system (FACTS) devices. These devices are based on the considerable combination of power electronic apparatus and approach into the high‐voltage side of the system, to make fast and flexible control actions, generally 4 …”

Section: Introductionmentioning

confidence: 99%

Data clustering based probabilistic UPFC allocation for improving power system reliability considering correlated uncertain variables

Rezaeian‐Marjani

Nazarpour

Galvani

2021

Int Trans Electr Energ Syst

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Summary Flexible alternating‐current transmission system (FACTS) devices as power electronic‐based technologies have been developed to improve the performance of power systems. This paper proposes a probabilistic framework for optimal allocation of unified power flow controller (UPFC) as one of the most beneficial FACTS devices to increase the reliability of the power system. For this purpose, the expected power not served (EPNS) is considered as a reliability index that is obtained based on the summation of required load shedding in all buses during single contingencies, including transmission lines and generators outage. Power demands and wind speed are considered as uncertain input variables. In addition, the correlations among these variables are included in the proposed study method. The well‐known particle swarm optimization (PSO) algorithm is used to optimize the proposed objective function. Also, the firefly algorithm (FA) is implemented to determine the total amount of load shedding for the calculation of EPNS, considering each possible generated solution by the PSO. The k‐means based data clustering method (DCM) is used for probabilistic evaluation of the problem, for the first time. Also, the correlations among uncertain input variables are modeled with the Cholesky decomposition method. Extraction of statistical information of UPFC parameters for improving power system reliability in a probabilistic framework is one of the most important achievements of the proposed method. This information is very important in deciding on the UPFC sizing. In order to evaluate the effectiveness of the proposed method, the IEEE 14‐bus and 30‐bus test systems have been used.

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“…Using flexible alternating‐current transmission system (FACTS) devices is an available and appropriate solution. The FACTS devices are a structure of power electronic equipment designed to approach the high‐voltage side of the network to make quick and proper control actions possible [4]. The unified power flow controllers (UPFCs) are an advantageous type of FACTS device, which consists of series and shunt inverters incorporated with a common dc link.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic approach for optimal operation of wind‐integrated power systems including UPFC

Rezaeian‐Marjani

Jalalat

Tousi

et al. 2022

IET Renewable Power Gen

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The optimal location and setting of the unified power flow controller (UPFC) along with power plant generators' output parameters to enhance power systems reliability in the presence of uncertain variables are determined in this paper. For this purpose, the expected power not served (EPNS) is used as a reliability index based on the total required load shedding at all buses in case of single contingencies such as the outage of lines or generators. The EPNS and components of system's normal operating conditions such as active power losses, voltage deviation index (VDI), as well as economic components, namely, the cost of power generation and UPFC allocation, are taken into consideration in the objective function. The particle swarm optimization (PSO) algorithm optimizes this objective function. Afterward, the firefly algorithm (FA) determines the minimum quantity of required load shedding based on all possible solutions obtained by PSO. Because of the probabilistic nature of loads and renewable generations like wind power generation (WPG), an accurate probabilistic assessment is essential. Therefore, the two‐point estimate method (2PEM) is used, and its performance is compared with the Latin hypercube sampling (LHS) method. The proposed solution method is evaluated on the IEEE 14‐bus and the IEEE 57‐bus test systems and results are discussed.

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A deterministic approach to locating series flow-controllers within transmission systems to alleviate congestion

Cited by 4 publications

References 40 publications

A Congestion Alleviation Technique Exploiting Structural Insights on the Interaction of Line Loading Limits, Reactance and Line Outage Security Constraints

A Congestion Alleviation Technique Exploiting Structural Insights on the Interaction of Line Loading Limits, Reactance and Line Outage Security Constraints

Data clustering based probabilistic UPFC allocation for improving power system reliability considering correlated uncertain variables

A probabilistic approach for optimal operation of wind‐integrated power systems including UPFC

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