System splitting strategy considering power system restoration

Demetriou, Panayiotis; Kyriacou, Alexis; Kyriakides, Elias; Panayiotou, Christos G.

doi:10.1109/ptc.2017.7980806

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…The main drawback of the aforementioned methods is the lack of the PPSR planning stage. This disadvantage was attempted to be solved only by a few works [3], [10], [11]. The concept of novel schemes that provide real-time solutions for both ICI and power system restoration is still an unexplored research area.…”

Section: P Demetriou Student Member Ieee M Asprou Member Ieeementioning

confidence: 99%

“…An exact ICI algorithm for solving effectively the ICI problem while considering power system restoration has been proposed in [11]. The proposed algorithm is based on a Mixed Integer Linear Programming (MILP) formulation [16].…”

Section: B Extended Milp Ici Algorithmmentioning

confidence: 99%

“…2) Additional restoration constraints (i) Observability: Assuming that at normal operating conditions the system is completely observable by PMUs, the additional observability constraint incorporated in the MILP formulation can be defined as [11]…”

Section: ) Milp Formulation To Solve the Ici Problemmentioning

confidence: 99%

“…(iii) Sufficient generation capacity and unit commitment preservation: Assuming that the generators are able to operate at full rated power, the constraint of sufficient generation capacity and unit commitment preservation is as follows [11]: 6guarantees sufficient generation capacity to match the power demand in the formed islands. At the same time, (7) avoids the unnecessary shut down of generators just to achieve the loadgeneration balance.…”

Section: ) Milp Formulation To Solve the Ici Problemmentioning

confidence: 99%

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A Real-Time Controlled Islanding and Restoration Scheme Based on Estimated States

Demetriou

Asprou

Kyriakides

2019

IEEE Trans. Power Syst.

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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 separation, power system operators should resynchronize and reconnect each island to restore the system. In this sense, real-time knowledge of the operating condition of the islands is required. In this paper, a realtime ICI and restoration scheme is proposed. The proposed scheme consists of an ICI algorithm that finds islanding solutions with minimal power-flow disruption while considering power system restoration constraints (e.g., blackstart availability, sufficient generation capacity and observability), a real-time state estimator that monitors the system before and after the islanding, and a restoration process. The proposed ICI and restoration scheme is tested using the dynamic IEEE 39-and 118-bus test systems.

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Section: P Demetriou Student Member Ieee M Asprou Member Ieeementioning

confidence: 99%

Section: B Extended Milp Ici Algorithmmentioning

confidence: 99%

Section: ) Milp Formulation To Solve the Ici Problemmentioning

confidence: 99%

Section: ) Milp Formulation To Solve the Ici Problemmentioning

confidence: 99%

See 2 more Smart Citations

A Real-Time Controlled Islanding and Restoration Scheme Based on Estimated States

Demetriou

Asprou

Kyriakides

2019

IEEE Trans. Power Syst.

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“…Furthermore, the impact of uncertainties regarding renewable energy, such as wind and solar energy on the OTS procedure has been studied in [11][12][13]. OTS is also utilised to prevent large-scale blackouts to be formed after N − k contingencies by creating an intentional island in the transmission system [14][15][16][17][18]. To decrease operating cost and enable N − 1 reliability, OTS and OBS have been run together called network topology reconfiguration (NTR) [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Binary pathfinder algorithm for bus splitting optimisation problem

Doğan

Yörükeren

2020

IET gener. transm. distrib.

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This study proposes a binary version of the pathfinder algorithm (BPFA) inspired by both the collective movement of animals and the leadership hierarchy of swarms in order to solve the existing bus splitting optimisation (BSO) problem encountered by transmission system operators. Some existing efficient algorithms, such as particle swarm optimisation, binary grey wolf optimiser, and salp swarm algorithms, are also utilised to obtain a suitable solution in the BSO problem and to compare it with the BPFA. The objective function of the BSO problem is built to restrict the short-circuit current and to provide the N − 1 security criteria. A new mathematical approach is proposed so as to assess the security performance of the transmission system during the solving of the BSO problem. The efficacy of the proposed algorithm is tested on well-known benchmark functions as well as IEEE 57 and IEEE 118 bus systems. Various transfer functions and position updating rules are implemented to each of the algorithms to acquire a better transition from continuous context to the binary format. The results obtained of the statistical indicators and the pairwise comparisons validate the efficiency and reliability of the BPFA algorithm in solving the compelling real-world problem.

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Controlled islanding of power systems considering voltage stability constraints

Demetriou¹,

Kyriacou²,

Kyriakides³

et al. 2018

Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018)

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An Intentional Controlled Islanding (ICI) algorithm 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 was previously proposed and tested using IEEE test systems. The proposed algorithm is based on an exact Mixed Integer Linear Programming Formulation (MILP). However, since voltage instability has been found to be one of the main causes of several recent blackouts in the world, in this paper, the aforementioned algorithm is extended to consider voltage stability constraints. The extended ICI algorithm guarantees sufficient generation capacity (active and reactive power) to match the load consumption within each island. At the same time, it reduces the possibility of voltage collapse by assigning the weakest buses to the islands in such a way to be as close as possible to the sources or sinks of reactive power. The new constraints are expected to further improve the transient stability of the formed islands.

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System splitting strategy considering power system restoration

Cited by 8 publications

References 15 publications

A Real-Time Controlled Islanding and Restoration Scheme Based on Estimated States

A Real-Time Controlled Islanding and Restoration Scheme Based on Estimated States

Binary pathfinder algorithm for bus splitting optimisation problem

Controlled islanding of power systems considering voltage stability constraints

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