Coupling Optimization and Dynamic Simulation for Preventive-Corrective Control of Voltage Instability

Capitanescu, Florin; Cutsem, Thierry Van; Wehenkel, Louis

doi:10.1109/tpwrs.2008.2012181

Cited by 36 publications

(22 citation statements)

References 21 publications

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“…The preventive and corrective actions identified by the SCOPF must be validated using time-domain simulation in order to ensure that they will not cause any instability [8,25,26]. …”

Section: Handling Voltage and Transient Stability In Scopfmentioning

confidence: 99%

“…in the form of constraints (4,5) [15]. On the other hand, approaches of class B rely on: the modification of the right-hand-side term of the coupling constraints (8) as an output of the combination between: SCOPF, post-contingency optimal power flow, and quasi-steady state time domain simulation [25], maintaining adequate reactive power reserves in the area prone to instability [38], or including in PSCOPF linear voltage stability constraints derived separately using quasisteady state dynamic simulation [39]. The major challenge of the SCOPF is the size of the problem, especially for large systems and caser where many contingencies are considered [5,6,7,8].…”

Section: Handling Voltage and Transient Stability In Scopfmentioning

confidence: 99%

“…Note that there is currently no theoretically sound algorithm able to solve the worst-case bi-level programming problem (15)- (25) given that it is nonconvex, non-linear, very large scale, and involves both discrete and continuous variables [118], and therefore, to determine the worst uncertainty patterns heuristic approaches must be conceived, or (linear) approximations could be used 7 .…”

Section: Robust (Min-max) Worst Case Optimal Control Approachmentioning

confidence: 99%

“…7 already violated limits or causing significant violations of other limits [6,24]. This requires a dynamic simulation of the sequence of control actions (see section 3.2) [25]. …”

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confidence: 99%

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

Capitanescu

Martínez-Ramos

Panciatici³

et al. 2011

Electric Power Systems Research

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396

249

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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. * Corresponding author Email addresses: capitane@montefiore.ulg.ac.be (F. Capitanescu), camel@us.es (J.L. Martinez Ramos), patrick.panciatici@rte-france.com (P. Panciatici), kirschen@uw.edu (D. Kirschen), alejandromm@us.es (A. Marano Marcolini), ludovic.platbrood@gdfsuez.com (L. Platbrood), l.wehenkel@ulg.ac.be (L. Wehenkel) Preprint submitted to Electric Power Systems ResearchMay 2, 2011Keywords: mixed integer linear programming, mixed integer nonlinear programming, nonlinear programming, optimal power flow, security constrained optimal power flow MotivationThe SCOPF [1,2] is an extension of the OPF problem [3,4] which takes into account constraints arising from the operation of the system under a set of postulated contingencies. The SCOPF problem is a nonlinear, nonconvex, large-scale optimization problem, with both continuous and discrete variables [1,2]. The SCOPF belongs therefore to the class of optimization problems called Mixed Integer Non-Linear Programming (MINLP).The SCOPF has become an essential tool for many Transmission System Operators (TSOs) for the planning, operational planning, and real time operation of their system [5,6, 7,8]. Furthermore, in several electricity markets (e.g. PJM, New-England, California, etc.) the locational marginal prices calculated using a DC SCOPF are used to price electricity. This approach is also under consideration in other systems [9,10,11].Several papers discussing the challenges to the OPF problem were published during the 90's [5,6, 7,8]. Since then several important changes have taken place not only in power systems operation and control but also in mathematical programming:• Power systems operate today in conditions that are more "stressed" and were not foreseen at the planning stage. In particular the increase in load has not been supported by an adequate upgrade of the generation and transmission systems. Furthermore the creation of electricity markets has led to the trading of significant amounts of electrical energy over lo...

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“…The preventive and corrective actions identified by the SCOPF must be validated using time-domain simulation in order to ensure that they will not cause any instability [8,25,26]. …”

Section: Handling Voltage and Transient Stability In Scopfmentioning

confidence: 99%

Section: Handling Voltage and Transient Stability In Scopfmentioning

confidence: 99%

Section: Robust (Min-max) Worst Case Optimal Control Approachmentioning

confidence: 99%

“…7 already violated limits or causing significant violations of other limits [6,24]. This requires a dynamic simulation of the sequence of control actions (see section 3.2) [25]. …”

mentioning

confidence: 99%

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

Capitanescu

Martínez-Ramos

Panciatici³

et al. 2011

Electric Power Systems Research

Self Cite

396

249

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“…The re-dispatch problem is then formulated as a security-constrained optimal power flow (SCOPF). The SCOPF:s are either preventive [10] or corrective [11], [12]. In this work, the preventive SCOPF will be considered.…”

Section: Introductionmentioning

confidence: 99%

The value of using chance-constrained optimal power flows for generation re-dispatch under uncertainty with detailed security constraints

Hamon

Perninge

Söder

2013

2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Abstract-The uncertainty faced in the operation of power systems increases as larger amounts of intermittent sources, such as wind and solar power, are being installed. Traditionally, an optimal generation re-dispatch is obtained by solving securityconstrained optimal power flows (SCOPF). The resulting system operation is then optimal for given values of the uncertain parameters. New methods have been developed to consider the uncertainty directly in the generation re-dispatch optimization problem. Chance-constrained optimal power flows (CCOPF) are such methods.In this paper, SCOPF and CCOPF are compared and the benefits of using CCOPF for power systems operation under uncertainty are discussed. The discussion is illustrated by a case study in the IEEE 39 bus system, in which the generation redispatch obtained by CCOPF is shown to always be cheaper than that obtained by SCOPF.

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Challenges Ahead Risk‐Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems

Rueda-Torres¹,

González-Longatt²

2018

Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems

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Coupling Optimization and Dynamic Simulation for Preventive-Corrective Control of Voltage Instability

Cited by 36 publications

References 21 publications

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

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

The value of using chance-constrained optimal power flows for generation re-dispatch under uncertainty with detailed security constraints

Challenges Ahead Risk‐Based AC Optimal Power Flow Under Uncertainty for Smart Sustainable Power Systems

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