Selection of TCSC location for secured optimal power flow under normal and network contingencies

Sundar, K. Shanmukha; Ravikumar, H. M.

doi:10.1016/j.ijepes.2011.09.002

Cited by 47 publications

(17 citation statements)

References 16 publications

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“…For Equation (15), there are two variables and two equations. Therefore, the explicit expressions of θ lh and θ st can be achieved as Equation (16).…”

Section: Apssr Incorporating Double Tcscsmentioning

confidence: 99%

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

et al. 2018

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Active power steady-state security regions (APSSRs), which can provide guidance for prevention and control through security checks, is of great importance for the safe operation of power systems in which more and more sustainable energy power generation is integrated. As a mature flexible AC transmission system (FACTS) device, thyristor-controlled series compensators (TCSCs) can carry out series compensation for the transmission line by controlling its equivalent reactance. With the change of the equivalent reactance parameter of a TCSC, the nodal admittance matrix and power flow distribution of the power system also changes. Inevitably, the APSSR will be different. Therefore, it is necessary and important to further incorporate the equivalent reactance parameters of TCSCs in the APSSR expression, which is generally established in the space of node active power injections. In this paper, a rapid construction method of APSSRs incorporating the equivalent reactances of TCSCs is proposed. Firstly, applicability and efficiency of the conventional APSSR construction method for power systems with TCSCs are analyzed. Further, with equivalent disconnection of TCSC branches, the effect of TCSC equivalent reactances on the distribution of active power flow through changing the structure parameters is treated as modifying node active power injections. On this basis, explicit expressions of APSSRs with a single TCSC equivalent reactance parameter and double TCSC equivalent reactance parameters are derived, respectively. Moreover, by deducing the general formula of APSSRs with multiple TCSC equivalent reactance parameters, the feasibility of the proposed method for power systems with multiple TCSCs is analyzed. Eventually, via benchmarks with different scales and a different number of TCSCs, validity and superiorities of the proposed method in computational efficiency are demonstrated.

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“…For Equation (15), there are two variables and two equations. Therefore, the explicit expressions of θ lh and θ st can be achieved as Equation (16).…”

Section: Apssr Incorporating Double Tcscsmentioning

confidence: 99%

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

et al. 2018

View full text Add to dashboard Cite

show abstract

“…In this study, TCSC is statically modeled as a capacitor in series with the transmission line . Figure shows the model of a transmission line with TCSC.…”

Section: Market Clearing Formulationmentioning

confidence: 99%

“…As can be seen from this figure, the TCSC increases the transferring power and reduces the reactive power losses of the line, by reducing the reactance of that line. The effective reactance of the line between bus i and bus j (

X_{i j}^{e}

) with TCSC is determined as

X_{i j}^{e} = ((), 1 - k) X_{i j}

where k=X TCSC /X ij is the degree of series compensation of the TCSC located on line ij .…”

Section: Market Clearing Formulationmentioning

confidence: 99%

“…The optimal locations to install the TCSC for secured market clearing under normal and contingency conditions are presented in this subsection. The thermal capacity index (TCI), which is introduced in , is used to install TCSC at suitable locations to achieve secured market clearing under normal operating conditions. To this end, for each line, the smart energy market is cleared regardless of the line thermal limit constraint.…”

Section: Market Clearing Formulationmentioning

confidence: 99%

“…A methodology is proposed in for optimal placement and sizing of FACTS devices (TCSC and static synchronous series compensator) to maximize social welfare and to alleviate congestion in a double‐sided auction market. Shanmukha Sundar and Ravikumar present a secured optimal power flow solution by the steady‐state modeling of a FACTS device (TCSC) under normal and contingency conditions. In this reference, integration of the TCSC during ( n − 0) and ( n − 1) overloads is investigated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ANFIS-based non-dominated sorting genetic algorithm II for scenario-based joint energy and reserves market clearing considering TCSC device

Sardou

Ameli

2014

Int. Trans. Electr. Energ. Syst.

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Summary This paper presents a multi‐objective mathematical programming (MMP) model to day‐ahead market clearing of joint energy and reserves auctions by integrating a thyristor‐controlled series compensator (TCSC) device with the optimization problem developed under normal and contingency cases. The proposed market clearing framework includes minimization of energy and reserves offer cost, congestion rent, TCSC cost, expected interruption cost, line overload, voltage deviation, and loadability limit. A new index called congestion efficiency index is proposed for the best placement of TCSC under network contingency conditions. Traditional MMP methods such as direction scalarization and ε‐constraint methods scalarize the objective vector into a single objective. Those cases are time‐consuming and require a number of runs equal to the number of desired efficient solutions. In this paper, the non‐dominated sorting genetic algorithm II (NSGA‐II), which is integrated with an adaptive neuro‐fuzzy inference system (ANFIS), is proposed to find the solution of the optimal schedule of the units energy and reserves by which the parameters of NSGA‐II (probabilities of crossover and mutation) are dynamically set, according to a training process. The proposed methodology is developed on the IEEE 30‐bus test system, and the results are compared with fuzzy‐based and ordinary NSGA‐II methods. These comparisons confirm the efficiency of the developed method. Copyright © 2014 John Wiley & Sons, Ltd.

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System security enhancement using hybrid HUA‐GPC approach under transmission line(s) and/or generator(s) outage conditions

Alluri¹,

Lanka²,

Rao

2021

Int J Numerical Modelling

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In this manuscript, a hybrid HUA-GPC strategy with unified power flow controller (UPFC) is proposed to enhance that security of power system under the condition of transmission and/or generator failure. The proposed hybrid strategy is joint implementation of Human urbanization algorithm (HUA) and Giza Pyramids Construction (GPC) and commonly named as HUA-GPC approach. GPC approach is utilized to develop that search behavior of HUA.The main aim of the proposal is the operation and control of electrical system is to satisfy the demand continuously in the absence of failures. A new severity function is created with transmission line loads and bus voltage magnitude deviations. The proposed function and generation fuel cost are evaluated in contingency conditions of transmission line (s) and/or generator (s). System safety in contingency conditions is evaluated with optimal power flow issue.To improve system safety in contingency conditions in the presence of UPFC, it is essential to recognize an optimal position to install this device. To recognize an optimal UPFC position, in this proposal, a HUA-GPC technique depending on line overload sensitivity index (LOSI) is evolved. The LOSI is assessed for every transmission lines in contingencies. An energy injection model based on UPFC voltage source, incorporation process and optimal location recognition approach depending on line overload sensitivity indices is proposed. The constraints are the constraints of equality and inequality. The proposed approach is then performed on the MATLAB/Simulink work platform and the efficiency is compared with existing strategies. The quality of the solution for the proposed system is analyzed in terms of best aptitude, worst aptitude, mean aptitude, SD, coefficient of variation and the error of best is 1110936.

show abstract

Selection of TCSC location for secured optimal power flow under normal and network contingencies

Cited by 47 publications

References 16 publications

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

ANFIS-based non-dominated sorting genetic algorithm II for scenario-based joint energy and reserves market clearing considering TCSC device

System security enhancement using hybrid HUA‐GPC approach under transmission line(s) and/or generator(s) outage conditions

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