Review of reactive power planning: objectives, constraints, and algorithms

Zhang, Wenjuan; Li, Fangxing; Tolbert, Leon M.

doi:10.1109/tdc.2008.4517065

Cited by 5 publications

(1 citation statement)

References 42 publications

(72 reference statements)

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“…In this paper, reactive power sources are modelled using continuous variables which is a commonly used assumption to simplify the model (in reality, the resources have a discrete nature). In (23), we consider installation and operation costs of the resources which is more realistic with cost of more complexity [63]. In (25)- (27), the maximum possible active/ reactive load shedding and RPG curtailment among all possible contingency are determined.…”

Section: Deterministic Formulation Of Tnep and Rppmentioning

confidence: 99%

Flexible two‐stage robust model for moving the transmission and reactive power infrastructures expansion planning towards power system integration of renewables

Olfatinezhad¹,

Vahidinasab²,

Ahmadian³

et al. 2020

IET Renewable Power Generation

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This study proposes a two-stage robust optimisation framework to model uncertainties in construction cost, load and renewable power generations (RPGs) in the coordinated transmission and reactive power infrastructure expansion planning problem. The proposed planning model, based on the network AC model and its voltage constraints, is represented as a mixedinteger linear programing problem with the aim of minimising: (i) the construction costs of lines, (ii) installation cost of reactive power resources and (iii) active load shedding as RPGs curtailment. Using the suggested robust optimisation approach, the best expansion plan is obtained even in the worst case of the defined uncertainty sets and the plan robustness level is controlled via parameter definition for the individual uncertainty sets. The Benders decomposition algorithm is used to solve the two-stage problem where the plan security level is also taken into consideration using the N−1 contingency criterion. The standard Garver 6-bus system and the IEEE 24-bus reliability test system are used to validate the proposed robust framework.

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Section: Deterministic Formulation Of Tnep and Rppmentioning

confidence: 99%