4.6 Article

State-of-the-art, challenges, and future trends in security constrained optimal power flow

期刊

ELECTRIC POWER SYSTEMS RESEARCH
卷 81, 期 8, 页码 1731-1741

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2011.04.003

关键词

Mixed integer linear programming; Mixed integer nonlinear programming; Nonlinear programming; Optimal power flow; Security constrained optimal power flow

资金

  1. European Commission
  2. Interuniversity Attraction Poles Programme

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This paper addresses the main challenges to the security constrained optimal power flow (SCOPF) computations. We first discuss the issues related to the SCOPF problem formulation such as the use of a limited number of corrective actions in the post-contingency states and the modeling of voltage and transient stability constraints. Then we deal with the challenges to the techniques for solving the SCOPF, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables. We finally address the current trend of extending the SCOPF formulation to take into account the increasing levels of uncertainty in the operation planning. For each such topic we provide a review of the state of the art, we identify the advances that are needed, and we indicate ways to bridge the gap between the current state of the art and these needs. (C) 2011 Elsevier B.V. All rights reserved.

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