Power system restoration planning based on Wide Area Measurement System

Nourizadeh, S.; Sarmadi, S. Arash Nezam; Karimi, M.J.; Ranjbar, A.M.

doi:10.1016/j.ijepes.2012.06.043

Cited by 22 publications

(10 citation statements)

References 18 publications

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“…Ref. [76] presents a method for optimal restoration planning which uses observability analysis and power transfer distribution factor (PTDF) to decrease the overvoltages caused by energizing transmission lines with light load. The use of the WAMS at the early stages of restoration provides precise determination of generators loading steps.…”

Section: Wams and Cyber-attackmentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

240

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Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future.

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Section: Wams and Cyber-attackmentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

240

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“…The objective of the PMU placement problem is to accomplish this task by using a minimum number of PMUs. For an n bus system, the PMU placement problem can be formulated using integer programming method as follows [5]: (1) where X is a binary decision variable vector, whose entries are defined as:…”

Section: Pmu Assisted Intentional Islandingmentioning

confidence: 99%

An improved algorithm for PMU assisted islanding in smart grid

Rihan¹,

Ahmad²,

Anees³

2016

ijsgce

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In case of a cascading failure, the power grid splits into uncontrolled islands before descending into blackout. Intelligent islanding is an important method to reduce the risk of blackout by preventing propagation of disturbance to other part of the system. Phasor measurement units are now integral part of a power system are very effective in detection of islanding. This paper presents an algorithm for power system intentional islanding to avoid the propagation of faults to healthy sections of the network in case of disturbances by using the synchrophasors measurement. The proposed algorithm has wider applicability and performs better in terms of network observability.

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“…Sun W. et al applied mixed-integer linear programming (MILP) algorithm to identify the optimal start-up sequence of NBSUs [8]. An optimal restoration approach based on the Wide Area Measurement System (WAMS) was proposed by Nourizadeh S. et al [9]. Gu X. et al proposed an extended black-start restoration strategy, in view of the fact that some current black-start resources with large rated power can provide enough cranking power for more than one non-black-start unit (1) A coupled multi-objective optimization model is built, which takes account of the double uncertainty in restoration process and realizes source-load coordinated restoration.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Source-Load Coordinated Restoration Method Considering Double Uncertainty

Jiang

Chen

2018

Energies

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Abstract:The security of power system restoration is severely affected by uncertain factors, especially the start-up time of generating unit and the amount of load pick-up. Solving the optimization restoration problem is challenging since it needs to determine different priorities in which units and loads are restored with the consideration of double uncertainty. Therefore, an optimal source-load coordinated restoration method that is based on information gap decision theory (IGDT) is proposed. Firstly, the time-domain restoration characteristics of black-start unit (BSU), non-black-start unit (NBSU), and load are described with analysis of double uncertainty. On this basis, a coupled multi-objective optimization model is built with double uncertainty, in which source-load coordinated restoration is realized. Then, IGDT is adopted to convert the uncertainty optimization model to a certain one with robustness, which tolerates the most uncertainty and still meets the desired requirement. Finally, the optimization model is solved by non-dominated genetic algorithm II (NSGA-II). The effectiveness and robustness of the proposed method is further illustrated through a case study based on the IEEE 39-bus system.

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Power system restoration planning based on Wide Area Measurement System

Cited by 22 publications

References 18 publications

Power system restoration: a literature review from 2006 to 2016

Power system restoration: a literature review from 2006 to 2016

An improved algorithm for PMU assisted islanding in smart grid

An Optimal Source-Load Coordinated Restoration Method Considering Double Uncertainty

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