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Journal articles on the topic 'Intentional controlled islanding'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Babaei, Mehdi, and Ahmed Abu-Siada. "Intentional Controlled Islanding Strategy for Wind Power Plant Integrated Systems." Energies 16, no. 12 (2023): 4572. http://dx.doi.org/10.3390/en16124572.

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The concept of intentional controlled islanding (ICI) is introduced as a proactive measure to safeguard the power system against blackouts in the event of significant disturbances. It involves strategically partitioning the system into self-healing islands, thereby mitigating the impact of such disturbances. This study introduces a new framework for creating stable, controlled islands in power systems with large-scale wind power plants. The proposed islanding strategy takes into account the impact of wind power plants on the coherency grouping of generators as a constraint in the ICI problem.

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2

Babaei, Mehdi, S. M. Muyeen, and Syed Islam. "Transiently stable intentional controlled islanding considering post-islanding voltage and frequency stability constraints." International Journal of Electrical Power & Energy Systems 127 (May 2021): 106650. http://dx.doi.org/10.1016/j.ijepes.2020.106650.

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3

Quiros-Tortos, Jairo, Panayiotis Demetriou, Mathaios Panteli, Elias Kyriakides, and Vladimir Terzija. "Intentional Controlled Islanding and Risk Assessment: A Unified Framework." IEEE Systems Journal 12, no. 4 (2018): 3637–48. http://dx.doi.org/10.1109/jsyst.2017.2773837.

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4

XU, Shaoxiang, and Shihong MIAO. "Three-stage method for intentional controlled islanding of power systems." Journal of Modern Power Systems and Clean Energy 6, no. 4 (2017): 691–700. http://dx.doi.org/10.1007/s40565-017-0348-2.

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5

Alexis, Kyriacou, Demetriou Panayiotis, Panayiotou Christos, and Kyriakides Elias. "Controlled Islanding Solution for Large-Scale Power Systems." IEEE Transactions on Power Systems 33, no. 2 (2017): 1591–602. https://doi.org/10.5281/zenodo.1012320.

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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 exc

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6

Panayiotis, Demetriou, Quirós-Tortós Jairo, and Kyriakides Elias. "When to island for Blackout Prevention." IEEE Systems Journal 13, no. 3 (2018): 3326–36. https://doi.org/10.1109/JSYST.2018.2866937.

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Cascading outages leading to large-area blackouts can be mitigated using intentional controlled islanding (ICI). An ICI scheme must define the most suitable time to split the system after a severe contingency (i.e., when to island), as well as to quickly determine the set of branches to be disconnected to create stable islands (i.e., where to island). Most of the works in the literature, however, focus on the latter and little has been done to address the “when to island” problem. To fill this gap, this paper proposes a unified methodology to determine the most suitable moment for

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7

Panayiotis, Demetriou, Asprou Markos, and Kyriakides Elias. "A Real-Time Controlled Islanding and Restoration Scheme Based on Estimated States." IEEE Transactions on Power Systems 34, no. 1 (2018): 9. https://doi.org/10.1109/TPWRS.2018.2866900.

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Power system operators are facing major challenges today to keep the system operating at the admissible limits. Recent blackouts demonstrated the need for a systematic study and design of a comprehensive system control strategy. Intentional controlled islanding (ICI) has been proposed as an effective corrective control action of final resort to save the system from a partial or a complete blackout. ICI limits the occurrence and consequences of blackouts by splitting the power system into a group of smaller, stable, and sustainable subsystems, also called islands. After a controlled system sepa

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8

Grozdanovski, Jovancho, Rafael Mihalic, and Urban Rudez. "WAMS-Supported Power Mismatch Optimization for Secure Intentional Islanding." Energies 14, no. 10 (2021): 2790. http://dx.doi.org/10.3390/en14102790.

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It is expected that a coordinated operation of several system integrity protection schemes will become a necessity in the future. This research represents an innovative strategy for coordinating under-frequency load shedding and intentional controlled islanding schemes for improving electric power system stability and resilience. In the great majority of real-world cases, both approaches follow conventional tactics, i.e., disconnecting a fixed number of feeders at predefined frequency thresholds and isolating a predefined area of a power system regardless of the actual conditions. Under the ne

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9

Fernández-Porras, Pablo, Mathaios Panteli, and Jairo Quirós-Tortós. "Intentional controlled islanding: when to island for power system blackout prevention." IET Generation, Transmission & Distribution 12, no. 14 (2018): 3542–49. http://dx.doi.org/10.1049/iet-gtd.2017.1526.

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10

Llonch-Masachs, Marc, Daniel Heredero-Peris, Cristian Chillón-Antón, Daniel Montesinos-Miracle, and Roberto Villafáfila-Robles. "Impedance Measurement and Detection Frequency Bandwidth, a Valid Island Detection Proposal for Voltage Controlled Inverters." Applied Sciences 9, no. 6 (2019): 1146. http://dx.doi.org/10.3390/app9061146.

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Anti-islanding detection methods have been part of a secure operation for distributed energy resource inverters, avoiding the creation of non-intentional energization when the mains are lost. These detection mechanisms were conceived historically for current-controlled inverters. New control possibilities have broken ground, and current- or voltage-controlled inverters are a reality; however, special attention must be paid to detection strategies when applied to the latter ones. This paper addresses two topics: it exposes the lack of effectiveness of those detection algorithms based on the vol

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11

Oboudi, M. H., R. Hooshmand, and A. Karamad. "A feasible method for controlled intentional islanding in microgrids based on PSO algorithm." Swarm and Evolutionary Computation 35 (August 2017): 14–25. http://dx.doi.org/10.1016/j.swevo.2017.02.003.

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12

Quirós-Tortós, Jairo, Jacek Brodzki, Janusz Bialek, Rubén Sánchez-García, and Vladimir Terzija. "Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems." IET Generation, Transmission & Distribution 9, no. 1 (2015): 31–42. http://dx.doi.org/10.1049/iet-gtd.2014.0228.

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13

Okasha, Aliaa A., Diaa-Eldin A. Mansour, Ahmed B. Zaky, Junya Suehiro, and Tamer F. Megahed. "A Novel IoT-Based Controlled Islanding Strategy for Enhanced Power System Stability and Resilience." Smart Cities 7, no. 6 (2024): 3871–94. https://doi.org/10.3390/smartcities7060149.

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Intentional controlled islanding (ICI) is a crucial strategy to avert power system collapse and blackouts caused by severe disturbances. This paper introduces an innovative IoT-based ICI strategy that identifies the optimal location for system segmentation during emergencies. Initially, the algorithm transmits essential data from phasor measurement units (PMUs) to the IoT cloud. Subsequently, it calculates the coherency index among all pairs of generators. Leveraging IoT technology increases system accessibility, enabling the real-time detection of changes in network topology post-disturbance

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14

Hassani Ahangar, Amir Reza, Gevork B. Gharehpetian, and Hamid Reza Baghaee. "A review on intentional controlled islanding in smart power systems and generalized framework for ICI in microgrids." International Journal of Electrical Power & Energy Systems 118 (June 2020): 105709. http://dx.doi.org/10.1016/j.ijepes.2019.105709.

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15

Oboudi, M. H., R. Hooshmand, and A. Karamad. "Feasible method for making controlled intentional islanding of microgrids based on the modified shuffled frog leap algorithm." International Journal of Electrical Power & Energy Systems 78 (June 2016): 745–54. http://dx.doi.org/10.1016/j.ijepes.2015.12.012.

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16

Salem, Qusay, and Khaled Alzaaree. "Detailed analysis of grid connected and islanded operation modes based on P/U and Q/f droop characteristics." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (2021): 772. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp772-782.

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This paper presents a thorough control structure of the distributed generators inside the microgrid during both grid-connected and islanded operation modes. These control structures of the DGs voltage source inverters are implemented in synchronous reference frame (SRF) and controlled using linear PI controllers. By implementing the control structures, the desired real and reactive power can be efficiently transferred to the local loads and the utility load by the microgrid generating units. A modified droop control technique is introduced to facilitate the microgrid performance during both mo

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17

Qusay, Salem, and Alzaareer Khaled. "Detailed analysis of grid connected and islanded operation modes based on P/U and Q/f droop characteristics." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 2 (2021): 772–82. https://doi.org/10.11591/ijpeds.v12.i2.pp772-782.

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This paper presents a thorough control structure of the distributed generators inside the microgrid during both grid-connected and islanded operation modes. These control structures of the DGs voltage source inverters are implemented in synchronous reference frame (SRF) and controlled using linear PI controllers. By implementing the control structures, the desired real and reactive power can be efficiently transferred to the local loads and the utility load by the microgrid generating units. A modified droop control technique is introduced to facilitate the microgrid performance during both mo

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18

Khan, Mohammed Ali, Ahteshamul Haque, Frede Blaabjerg, Varaha Satya Bharath Kurukuru, and Huai Wang. "Intelligent Transition Control between Grid-Connected and Standalone Modes of Three-Phase Grid-Integrated Distributed Generation Systems." Energies 14, no. 13 (2021): 3979. http://dx.doi.org/10.3390/en14133979.

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This paper proposes an intelligent seamless transition controller for smooth transition between grid-connected (GC) and standalone modes of distributed generation (DG) units in the grid. The development of this seamless controller contributes to two main processes in the transition modes: the synchronization process and an islanding process. For the synchronization process, the stationary reference frame phase-locked loop (SRF-PLL) associated with the voltage source inverter (VSI) is modified using the frequency, voltage deviation, and phase angle information. Furthermore, the islanding proces

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19

Alnassar, Zainab, and S. T. Nagarajan. "Synchrophasor-Based Out-of-Step Prediction in Large Grids." International Transactions on Electrical Energy Systems 2023 (December 26, 2023): 1–17. http://dx.doi.org/10.1155/2023/4012120.

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Out-of-step (OOS) condition is a potential problem in the power system and uncontrolled islanding is one of the severe consequences of out-of-step condition which leads to cascaded tripping of the system. To avoid this undesired cascaded tripping, early prediction of out-of-step condition is essential before losing the synchronization of generators and between the system areas. Controlled islanding is the last emergency action that can be taken by splitting the system intentionally into coherent islands. Conventionally, OOS condition has been detected with impedance-based measurement technique

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20

Tang, Fei, Yuhan Guo, Xiaoqing Wei, Mo Chen, Jinzhou Sun, and Huipeng Deng. "An intentional controlled islanding strategy considering island frequency stability for power system with wind-power integrated." Frontiers in Energy Research 11 (July 27, 2023). http://dx.doi.org/10.3389/fenrg.2023.1247412.

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As the last defense line to avoid cascading failures, intentional controlled islanding (ICI) is of great significance to maintain the stability of power systems. However, with the increasing penetration of renewable energy, the system inertia and primary frequency regulation capacity have significantly decreased, and the adaptability and effectiveness of ICI have also been significantly reduced. Aiming at the above problems, an ICI strategy considering island frequency stability with wind-power integration is proposed. Firstly, a basic model of ICI is constructed through the collaborative opti

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21

Iudice, Francesco Lo, Ricardo Cardona-Rivera, Antonio Grotta, Marco Coraggio, and Mario di Bernardo. "Consensus-Based Distributed Intentional Controlled Islanding of Power Grids." IEEE Transactions on Control of Network Systems, 2023, 1–11. http://dx.doi.org/10.1109/tcns.2023.3277805.

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22

Jairo, Quirós-Tortós, Demetriou Panayiotis, Panteli Mathaios, Kyriakides Elias, and Terzija Vladimir. "Intentional Controlled Islanding and Risk Assessment: A Unified Framework." IEEE Systems Journal, November 28, 2017, 1–11. https://doi.org/10.1109/JSYST.2017.2773837.

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Power systems are prone to cascading outages leading to large-area blackouts, and intentional controlled islanding (ICI) can mitigate these catastrophic events by splitting the system into sustainable islands. ICI schemes are used as the last resort to prevent cascading events; thus, it is critical to evaluate the corresponding system risks to ensure their correct operation. This paper proposes a unified framework to assess the risk of ICI schemes. First, a novel ICI method to create islands with minimum power imbalance is presented. Further, a risk assessment methodology is used to assess the

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23

Han, Xu, Qizi Huangpeng, Xiaojun Duan, Qiannan Gao, and Yimin Yin. "Intentional controlled islanding based on dynamic community detection for power grid." IET Generation, Transmission & Distribution, September 19, 2022. http://dx.doi.org/10.1049/gtd2.12591.

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24

Ghamsari‐Yazdel, Mohammad, Hamid Reza Najafi, and Nima Amjady. "Incorporating energy storage and demand response into intentional controlled islanding using time decomposition." International Transactions on Electrical Energy Systems 30, no. 10 (2020). http://dx.doi.org/10.1002/2050-7038.12553.

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25

Karthikumar, K., and V. Senthil Kumar. "A new opposition crow search optimizer-based two-step approach for controlled intentional islanding in microgrids." Soft Computing, September 1, 2020. http://dx.doi.org/10.1007/s00500-020-05280-1.

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26

Fu, Jingfeng, Chuan He, Tianqi Liu, and Lu Nan. "Resilience-Oriented Optimal Allocation of Splitting Devices for Intentional Controlled Islanding Considering Frequency Stability Constraints and Demand Response." IEEE Transactions on Power Systems, 2024, 1–15. https://doi.org/10.1109/tpwrs.2024.3521250.

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27

Ramachandran, Rajeswari, and Nivethitha Manivannan. "Automatic Load Frequency Control in Isolated Micro-Grid for Remote Area Power Generation." Power Research - A Journal of CPRI, March 10, 2025, 187–94. https://doi.org/10.33686/pwj.v20i2.1190.

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This study focuses on utilising an Automatic Load Frequency Controller (ALFC) within an isolated microgrid to improve the transient response of frequency variations. Addressing the persistent issue of energy shortages requires the expanded deployment of Distributed Generation (DG) systems through the further increased integration of renewable energy sources. A microgrid is a DG that can operate in isolated and grid-connected modes to maximise the benefits of renewable energy. Isolation of the microgrid prevents faults from affecting the microgrid and ensures operational safety. Additionally, i

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28

Tenti, Paolo, Tommaso Caldognetto, Simone Buso, and I. Brandao NA Danilo. "Control Of Utility Interfaces In Low-voltage Microgrids." February 2, 2016. https://doi.org/10.18618/rep.2015.4.2556.

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This paper presents a general control technique for utility interactive inverters in low-voltage microgrids. The Utility Interface (UI) is a three-phase power conversion unit, equipped with energy storage, which governs the interaction between the utility grid and the microgrid. The UI is in charge of several functions: in grid-connected operation, it performs as a voltage-supporting unit and compensates the reactive power, unbalance, and distortion caused by loads, whereas in islanded operation, it performs as a voltage- forming unit and sets the voltage and frequency for the entire microgrid

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