Transmission-Capacity Expansion for Minimizing Blackout Probabilities

Shortle, John; Rebennack, Steffen; Glover, Fred

doi:10.1109/tpwrs.2013.2279508

Cited by 35 publications

(18 citation statements)

References 35 publications

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“…Rico and Aboobeker et al [19,20] proposed cluster head rotation-based mechanisms to avoid fast power supply failure of energy constrained wireless sensor networks. In addition, stability is critical in some industrial systems, so N − x becomes a general principle [21], which requires the system retain functionality even in the event of x component failures. Considering this principle, Shi et al [22] mainly addressed the better trade-off between redundancy-based reliability ensurance and its cost by developing a quantitative analysis model.…”

Section: Related Workmentioning

confidence: 99%

“…The system should meet the requirement of the N − x principle, which means that for a system with N nodes, when x nodes are faulty, the system will not be affected. The N − x principle is widely applied when planning and design high reliable communication systems [21,22,23]. In this paper, we introduce this principle to the on-road sensor communication system in order to improve the reliability.…”

Section: System Architecturementioning

confidence: 99%

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A Fault Tolerance Mechanism for On-Road Sensor Networks

Feng

Guo

Sun

et al. 2016

Sensors

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On-Road Sensor Networks (ORSNs) play an important role in capturing traffic flow data for predicting short-term traffic patterns, driving assistance and self-driving vehicles. However, this kind of network is prone to large-scale communication failure if a few sensors physically fail. In this paper, to ensure that the network works normally, an effective fault-tolerance mechanism for ORSNs which mainly consists of backup on-road sensor deployment, redundant cluster head deployment and an adaptive failure detection and recovery method is proposed. Firstly, based on the N − x principle and the sensors’ failure rate, this paper formulates the backup sensor deployment problem in the form of a two-objective optimization, which explains the trade-off between the cost and fault resumption. In consideration of improving the network resilience further, this paper introduces a redundant cluster head deployment model according to the coverage constraint. Then a common solving method combining integer-continuing and sequential quadratic programming is explored to determine the optimal location of these two deployment problems. Moreover, an Adaptive Detection and Resume (ADR) protocol is deigned to recover the system communication through route and cluster adjustment if there is a backup on-road sensor mismatch. The final experiments show that our proposed mechanism can achieve an average 90% recovery rate and reduce the average number of failed sensors at most by 35.7%.

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Section: Related Workmentioning

confidence: 99%

Section: System Architecturementioning

confidence: 99%

A Fault Tolerance Mechanism for On-Road Sensor Networks

Feng

Guo

Sun

et al. 2016

Sensors

View full text Add to dashboard Cite

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“…The state of all components can be formulated by a vector S as (12). The probability of component i appearing the state s i can be expressed as follows.…”

Section: State Probability Calculationmentioning

confidence: 99%

“…The state of all components can be expressed as a vector S, and its corresponding probability can be calculated, shown as (12) and (14), respectively. Under the state S, the arrival power vector AP k (k = 1,2,…,ND) at each load point can be obtained using the model (9) first of all.…”

Section: Sensitivity Indexmentioning

confidence: 99%

“…The common reliability of the system is often assumed to be guaranteed via the demand constraints. That is, these constraints enforce that line capacities exceed the line loads based on an assumed demand profile [12]. In [11], the probabilistic load curtailment loss was handled as a part of objective function and a TEP approach considering the load and wind power generation uncertainties was proposed.…”

Section: Introductionmentioning

confidence: 99%

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A new method of enhancing reliability for transmission expansion planning

Chengxin

Chen

Liu

2014

J. Mod. Power Syst. Clean Energy

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The reliability plays a significant role in power systems and it is an important objective or constraint in transmission expansion planning. Firstly, a DC optimization model was proposed to calculate the maximum arrival power at each load point. Compared to the network flow method, DC model is closer to the actual power flow and it is able to obtain more realistic reliability assessment results. Furthermore, a novel sensitivity index (SI) was also proposed to choose the most effective line so as to enhance the nodal and/or system reliability. The Monte Carlo simulation is used to simulate the system components state. This improved reliability evaluation method and SI can be used for transmission expansion planning or maintenance scheduling. Tests are performed using 6-bus system derived from the Garver's system and the IEEE 10-machine 39-bus system. The results show the effectiveness of the method.

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Investments in Power Generation Under Uncertainty—a MIP Specification and Large-Scale Application for EU

Fragkos

Kouvaritakis

2017

Environ Model Assess

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Transmission-Capacity Expansion for Minimizing Blackout Probabilities

Cited by 35 publications

References 35 publications

A Fault Tolerance Mechanism for On-Road Sensor Networks

A Fault Tolerance Mechanism for On-Road Sensor Networks

A new method of enhancing reliability for transmission expansion planning

Investments in Power Generation Under Uncertainty—a MIP Specification and Large-Scale Application for EU

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