Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Lin, Zhenzhi; Wen, Fushuan; Zhao, Junhua; Xue, Yusheng

doi:10.1007/s40565-016-0215-6

Cited by 28 publications

(17 citation statements)

References 29 publications

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“…Graph partitioning technique OBDD two-phase [23] Minimal power imbalance OBDD three-phase [24] Minimal power imbalance OBDD with transient stability [25] Minimal power imbalance Simplification method [26] Minimal power imbalance Coherent group identification and WAMS [27] Minimal power flow disruption Generator grouping Self-healing [28] Minimal power imbalance Slow coherency [30] Minimal power imbalance Slow coherency with minimum cutset [31] Minimal power imbalance Slow coherency with graph theoretic [32] Minimal power flow disruption Cutset Determination Algorithm [33] Minimal power imbalance Krylov projection method [34] Minimal power imbalance…”

Section: Hybrid Methodsmentioning

confidence: 99%

“…Another islanding method based on coherent group identification and wide area measurements is presented in [27]. Firstly, this method combine four indexes including angle deviation similarity, swing direction similarity, rotating speed deviation similarity, and corner deviation similarity into a synthesized index using entropy weight theory that consider most of the characteristics of generator trajectories during the determination of the coherent generators groups.…”

Section: Graph Partitioning Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Intentional Islanding Methods as Post Fault Remedial Action: A Review

Saharuddin¹,

Abidin²,

Mokhlis³

et al. 2018

IJEECS

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<p>Intentional islanding is the last defense mechanism executed to avoid cascading failures and total blackout in power system network during severe or critical contingency. It is performed when other mitigation techniques are unable to save the network from collapse. Intentional islanding is preferred compared to unintentional islanding, which produces unstable islands. The objective of intentional islanding is to split the network by disconnecting appropriate transmission lines to produce electrically stable and balanced islands. There are many methods suggested by previous researchers on intentional islanding. This paper presents a comprehensive review on various intentional islanding methods proposed based on the common objective function used which are minimal power imbalance and minimal power flow disruption. The paper focuses on five intentional islanding methods which are analytical, numerical, heuristic, meta-heuristic and hybrid approaches. This review paper will serve as guideline and reference for researchers to explore further in this topic of interest.</p>

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Section: Hybrid Methodsmentioning

confidence: 99%

Section: Graph Partitioning Methodsmentioning

confidence: 99%

Intentional Islanding Methods as Post Fault Remedial Action: A Review

Saharuddin¹,

Abidin²,

Mokhlis³

et al. 2018

IJEECS

View full text Add to dashboard Cite

show abstract

“…Then, time domain simulation (TDS) starts running for about 0.1 s assuming that the next expected line does trip, in order to obtain the initial generator angles and the required calculation data, such as electrical power and generator angular velocity shown by Equation (14), which are used to calculate the stability margin. Also based on these initial generator angles, CMR can identify the critical cluster of the machine(s) using Equation (11). If the computed stability margin is positive or indicates stable operation, the system is assumed to remain stable so that no controlled islanding is necessary.…”

Section: Stage 1: When To Island?mentioning

confidence: 99%

“…However, before any controlled islanding scheme [10][11][12] is executed, three areas of concern must be addressed:…”

Section: Introductionmentioning

confidence: 99%

A Three-Stage Procedure for Controlled Islanding to Prevent Wide-Area Blackouts

Shao¹,

Mao²,

Liu³

et al. 2018

Energies

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Controlled islanding has been proposed as a last resort action to stop blackouts from happening when all standard methods have failed. Successful controlled islanding has to deal with three important issues: when, and where to island, and the evaluation of the dynamic stability in each island after islanding. This paper provides a framework for preventing wide-area blackouts using wide area measurement systems (WAMS), which consists of three stages to execute a successful islanding strategy. Normally, power system collapses and blackouts occur shortly after a cascading outage stage. Using such circumstances, an adapted single machine equivalent (SIME) method was used online to determine transient stability before blackout was imminent, and was then employed to determine when to island based on transient instability. In addition, SIME was adopted to assess the dynamic stability in each island after islanding, and to confirm that the chosen candidate island cutsets were stable before controlled islanding was undertaken. To decide where to island, all possible islanding cutsets were provided using the power flow (PF) tracing method. SIME helped to find the best candidate islanding cutset with the minimal PF imbalance, which is also a transiently stable islanding strategy. In case no possible island cutset existed, corresponding corrective actions such as load shedding and critical generator tripping, were performed in each formed island. Finally, an IEEE 39-bus power system with 10 units was employed to test this framework for a three-stage controlled islanding strategy to prevent imminent blackouts.

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“…In terms of solving algorithms, substation and network planning in the distribution network is essentially a mathematical optimization problem, thus the methods for solving mathematical optimization problems, such as heuristic algorithms and mathematical programming [19], can be utilized to solve DNP models. In ref.…”

Section: Introductionmentioning

confidence: 99%

A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm

Wu¹,

Li²,

Liang³

et al. 2018

Energies

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Reasonable distribution network planning schemes can not only improve the power quality and power supply capacity of the power system, but also increase the economic benefits and welfare of the whole society. In this work, a bi-level optimization model is proposed for the joint planning of substations and lines in looped urban distribution systems. The upper-level model aims to address the substation locating and sizing problem, whereas the lower-level model the network planning problem. Both the substations directly supplying power to a load and the contralateral substations that act as backup power source to the load are considered in the bi-level model. In order to solve the bi-level planning model which is mathematically mixed integer programing and with plenty of continuous and discrete variables, the bird swarm algorithm is improved and applied based on the idea of parallel computing of big data theory. Simulations on actual planning problems are employed to verify the effectiveness of the proposed bi-level distribution network planning model and the parallel bird swarm algorithm.

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Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Cited by 28 publications

References 29 publications

Intentional Islanding Methods as Post Fault Remedial Action: A Review

Intentional Islanding Methods as Post Fault Remedial Action: A Review

A Three-Stage Procedure for Controlled Islanding to Prevent Wide-Area Blackouts

A Joint Planning Method for Substations and Lines in Distribution Systems Based on the Parallel Bird Swarm Algorithm

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