Controlled network splitting considering transient stability constraints

Kamali, Sadegh; Amraee, Turaj; Capitanescu, Florin

doi:10.1049/iet-gtd.2018.5287

Cited by 27 publications

(15 citation statements)

References 23 publications

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“…Practically, the candidate splitting points are limited to inter‐area transmission lines and the developed model may be run in a reasonable time. The requirements for online and offline applications of controlled islanding schemes such as selecting candidate lines, can be found in [33]. The splitting strategy obtained from the MILP model of the first stage is then passed to the second stage, where the TEF is constructed to assess the transient stability of the network under the given islanding strategy.…”

Section: Overall Structure Of the Proposed Methodsmentioning

confidence: 99%

Intentional power system islanding under cascading outages using energy function method

Kamali

Amraee

Khorsand

2020

IET Generation, Transmission & Distribution

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Section: Overall Structure Of the Proposed Methodsmentioning

confidence: 99%

Intentional power system islanding under cascading outages using energy function method

Kamali

Amraee

Khorsand

2020

IET Generation, Transmission & Distribution

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“…In Reference 69, a controlled islanding method is proposed that ensures the transient stability of the islanded system. Two different MILP optimization model is proposed to implement the islanding with transient stability constraints.…”

Section: Sips Applicationsmentioning

confidence: 99%

Recent trends in integrity protection of power system: A literature review

Rajalwal

Ghosh

2020

Int Trans Electr Energ Syst

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Background: An increase in the load demand has been forcing the electrical components to work near their allowable limits. The transformation of the power system in terms of technology and geographical stretch has imposed the necessity of employing advanced protection schemes in the system. The system integrity protection scheme (SIPS) has evolved as an effective measure with the gradual sprawl of the conventional grid with local measurements to a smart grid with wide-area measurement system. Aims: SIPS is a rapidly growing field in the power system and thus the study of its performance analysis, implementation methods, and applications is necessary. This paper provides a comprehensive overview of SIPS technology. Materials & Methods: In this paper, SIPS definition and classification are briefly discussed. SIPS normalization schemes that include load shedding, controlled islanding, generation rejection, ou-of-step prediction, relay settings are elaborated. To implement these normalization schemes, various methods such as index-based, optimization-based, WAMS based, EAC based, and ML-based are discussed and compared. Finally, a comparative assessment is framed based on SIPS applied for different power system issues such as transient instability, voltage instability, overloading, line contingency, protection security, etc. Results: It is observed that most of the proposed SIPS are implemented for improving transient stability. The preferred solution for implementing the SIPS by the researchers is load shedding. It is also observed that there is a lack of implementation of SIPS with renewable energy systems.

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“…The island-based variables are non-zero for only one island. Equations (26)- (29) and (30)- (32) are related to the slow and fast corrective actions performed in the second and first periods, respectively. Constraints (33) and (34) limit the charging and discharging rates of ESUs.…”

Section: Esu Charging/discharging Constraintsmentioning

confidence: 99%

“…In Reference 28, an MILP‐based ICI and parallel power system restoration schemes are jointly proposed by adding black start capability as well as sufficient generation capacity and observability constraints to an ICI scheduling problem. In Reference 29, two ICI models based on mixed‐integer nonlinear programming (MINLP) formulation and a computationally lighter MILP model are proposed, which are able to enhance the first swing transient stability of the islands along with satisfying classical operation constraints. A relaxed‐MILP (R‐MILP) formulation is developed for the partitioning of ICI problem in Reference 23.…”

Section: Introductionmentioning

confidence: 99%

Incorporating energy storage and demand response into intentional controlled islanding using time decomposition

Ghamsari‐Yazdel

Najafi

Amjady

2020

Int Trans Electr Energ Syst

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To improve electrical energy system resilience under catastrophic events, an efficient intentional controlled islanding (ICI) model is proposed in this article. The proposed remedial action relies on a new mixed integer linear programming (MILP) model which aims at minimizing the overall energy curtailment, power flow disruption, and generation and demand re-dispatches through a cost-based objective function. Another innovative characteristic of this model is demand response (DR) inclusion in the proposed ICI. To improve the balance between demand and supply of electricity, DR can be employed as an effective strategy in the ICI problem. In addition, another main original feature of the proposed model is considering energy storage units (ESUs) in each resulted island after the splitting process. To provide enough time for the system operator to re-dispatch the islands and to improve frequency stability of islands, a charging/discharging scheme is proposed for ESUs during ICI. Moreover, a new time decomposition is proposed to accurately model the fast and slow corrective actions considering their interactions. Using this time decomposition, energy curtailments, considering their period durations, are treated as decision variables in the ICI problem to minimize involuntary load shedding as the most expensive corrective action. The results of scrutinizing the proposed ICI framework on the IEEE 118-bus test system illustrate its performance. In addition, the results of the proposed ICI approach are compared with the results of other ICI models to illustrate the effectiveness of the new features of the proposed approach. K E Y W O R D S demand response, energy storage unit, frequency stability, intentional controlled islanding, mixed integer linear programming, time decomposition 1 | INTRODUCTION 1.1 | Motivation and background Uncontrolled power system separation with unstable islands, lack of voltage stability, and the hidden failures of local relays are the fundamental reasons to trigger cascading outages and recent blackouts. 1 The catastrophic socioeconomic consequences of these blackouts revealed the requirement to enhance resiliency and robustness of power systems

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Controlled network splitting considering transient stability constraints

Cited by 27 publications

References 23 publications

Intentional power system islanding under cascading outages using energy function method

Intentional power system islanding under cascading outages using energy function method

Recent trends in integrity protection of power system: A literature review

Incorporating energy storage and demand response into intentional controlled islanding using time decomposition

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