Optimization-Based Islanding of Power Networks Using Piecewise Linear AC Power Flow

Trodden, Paul; Bukhsh, Waqquas; Grothey, Andreas; McKinnon, Karen

doi:10.1109/tpwrs.2013.2291660

Cited by 135 publications

(109 citation statements)

References 28 publications

Supporting

Mentioning

108

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, an execution time comparison with other existing MILP methods [19], [20] applied on the IEEE 118-and 300-bus test systems to solve the ICI problem is presented in Table VI. To the best of the authors' knowledge, no other approach exists based on a mathematical formulation that provides optimal results on the Polish network.…”

Section: Discussionmentioning

confidence: 99%

Controlled Islanding Solution for Large-Scale Power Systems

Kyriacou

Demetriou

Panayiotou

et al. 2018

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Abstract-Intentional Controlled Islanding (ICI) has been proposed as a corrective measure of last resort to split the power system into several sustainable islands and prevent cascading outages. This paper proposes a novel ICI algorithm based on a Linear Programming (LP) formulation that directly determines an islanding solution with minimal power-flow disruption for any given number of islands, while ensuring that each island contains only coherent generators. In addition, the proposed algorithm enables operators to constrain any transmission line to be excluded from the solution, allows the control of the size of islands and ensures their connectivity. The basis of the proposed LP formulation is an exact Mixed Integer Linear Programming (MILP) Formulation. A Search Space Reduction (SSR) procedure that generates additional constraints for reducing the search space of the MILP is also proposed. In most cases, these additional constraints are enough for the relaxed MILP formulation (LP formulation) to generate optimal solutions. Nonetheless, the proposed LP formulation is executed as a part of a recursive linearization procedure which ensures that optimal solutions are always obtained. Multiple simulation results demonstrate the ability of the proposed LP ICI algorithm to meet the requirement of real-time controlled islanding in large-scale power systems.

show abstract

Section: Discussionmentioning

confidence: 99%

Controlled Islanding Solution for Large-Scale Power Systems

Kyriacou

Demetriou

Panayiotou

et al. 2018

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

show abstract

“…This is a strategy that aims to stop the initial failure occurring in a small part of a power grid [127][128][129] and to prevent it from propagating through the rest of the system, causing thus a larger blackout. In [110,130], the authors suggest that a feasible method to prevent the propagation of disturbances would be to design the network so as to allow for intentionally separable, stable, small islands or "micro-grids".…”

Section: The Benefits Of Adding Linksmentioning

confidence: 99%

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

et al. 2017

View full text Add to dashboard Cite

Abstract:In this work, we describe an approach that allows for optimizing the structure of a smart grid (SG) with renewable energy (RE) generation against abnormal conditions (imbalances between generation and consumption, overloads or failures arising from the inherent SG complexity) by combining the complex network (CN) and evolutionary algorithm (EA) concepts. We propose a novel objective function (to be minimized) that combines cost elements, related to the number of electric cables, and several metrics that quantify properties that are beneficial for SGs (energy exchange at the local scale and high robustness and resilience). The optimized SG structure is obtained by applying an EA in which the chromosome that encodes each potential network (or individual) is the upper triangular matrix of its adjacency matrix. This allows for fully tailoring the crossover and mutation operators. We also propose a domain-specific initial population that includes both small-world and random networks, helping the EA converge quickly. The experimental work points out that the proposed method works well and generates the optimum, synthetic, small-world structure that leads to beneficial properties such as improving both the local energy exchange and the robustness. The optimum structure fulfills a balance between moderate cost and robustness against abnormal conditions. Our approach should be considered as an analysis, planning and decision-making tool to gain insight into smart grid structures so that the low level detailed design is carried out by using electrical engineering techniques.

show abstract

“…Trodden et al (2013) provided a mixedinteger linear programming approach for controlled islanding to determine which lines to cut, loads to shed, and generators to adjust or switch off. Thereafter, they included voltage and reactive power constraints in their work and proposed an extended mixed-integer linear programming model (Trodden et al, 2014).…”

Section: Resilience Responsementioning

confidence: 99%

System resilience enhancement: Smart grid and beyond

Huang¹,

Wang²,

Chen³

et al. 2017

Front. Eng

View full text Add to dashboard Cite

Boosting the resilience of power systems is a core requirement of smart grids. In fact, resilience enhancement is crucial to all critical infrastructure systems. In this study, we review the current research on system resilience enhancement within and beyond smart grids. In addition, we elaborate on resilience definition and resilience quantification and discuss several challenges and opportunities for system resilience enhancement. This study aims to deepen our understanding of the concept of resilience and develop a wide perspective on enhancing the system resilience for critical infrastructures.

show abstract

Optimization-Based Islanding of Power Networks Using Piecewise Linear AC Power Flow

Cited by 135 publications

References 28 publications

Controlled Islanding Solution for Large-Scale Power Systems

Controlled Islanding Solution for Large-Scale Power Systems

Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms

System resilience enhancement: Smart grid and beyond

Contact Info

Product

Resources

About