Transmission planning with probabilistic modeling of multiple contingencies

Sarfati, Mahir; Galland, Olga; Hesamzadeh, Mohammad Reza

doi:10.1109/eem.2013.6607280

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…), to obtain reliability indices and an optimal system design in terms of construction costs, outage costs, and dispatch costs [8, 9]. Numerous methods and techniques have been applied for addressing this problem [10], of which mixed integer programming models and especially mixed integer linear programming (MILP) are the ones most commonly employed [11, 12]. However, due to the limitations associated with a linear model, an MILP formulation cannot provide a fully accurate representation of the complexity inherent in an AC line flow.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic evaluation and planning of power transmission system reliability

Makvand¹,

Venkatesh²,

Cheng³

et al. 2017

IET Generation, Transmission & Distribution

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Section: Introductionmentioning

confidence: 99%

Probabilistic evaluation and planning of power transmission system reliability

Makvand¹,

Venkatesh²,

Cheng³

et al. 2017

IET Generation, Transmission & Distribution

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“…Distinguished from previous planning models [23][24][25][26], the objective of the transmission network expansion planning in this paper is minimizing construction costs while satisfying N-1 security and limiting the short circuit currents below the safety threshold in the meantime. Based on DC power flow, the assumptions of the planning model are [27]: (1) Neglect the resistance of transmission lines because the resistance is considerably less than the reactance in high voltage transmission networks.…”

Section: Calculation Of Nodal Three-phase Short Circuit Currentsmentioning

confidence: 99%

Transmission network expansion planning with embedded constraints of short circuit currents and N-1 security

Wang

Zhong

Xia

et al. 2015

J. Mod. Power Syst. Clean Energy

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An approach of transmission network expansion planning with embedded constraints of short circuit currents and N-1 security is proposed in this paper. The problem brought on by the strong nonlinearity property of short circuit currents is solved with a linearization method based on the DC power flow. The model can be converted to a mixed-integer linear programming problem, realizing the optimization of planning model that considers the constraints of linearized short circuit currents and N-1 security. To compensate the error caused by the assumptions of DC power flow, the compensation factor is proposed. With this factor, an iterative algorithm that can compensate the linearization error is then presented. The case study based on the IEEE 118-bus system shows that the proposed model and approach can be utilized to: optimize the construction strategy of transmission lines; ensure the N-1 security of the network; and effectively limit the short circuit currents of the system.

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A new transmission expansion planning framework and cost allocation method considering financial transmission rights

Khazaei

Sabounchi

2014

7th International Conference on Information and Automation for Sustainability

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Transmission planning with probabilistic modeling of multiple contingencies

Cited by 4 publications

References 20 publications

Probabilistic evaluation and planning of power transmission system reliability

Probabilistic evaluation and planning of power transmission system reliability

Transmission network expansion planning with embedded constraints of short circuit currents and N-1 security

A new transmission expansion planning framework and cost allocation method considering financial transmission rights

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