Reliability Evaluation for Optimally Operated, Large, Electric Power Systems

El‐Kady, M. A.; Elsobki, Mohamed Salah; Sinha, Nidul

doi:10.1109/tr.1986.4335340

Cited by 15 publications

(10 citation statements)

References 8 publications

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“…*Maintaining a continuous and sufficient power supply to the customers at a reasonable cost is the prime objective of electric power companies around the world. In this regard, power system costeffectiveness, security, adequacy, and reliability analyses have become a significant concern in today's highly-competitive business environment of power utility planning and operations (Zhao et al, 2009;El-Kady et al, 1985;1986). In a recent paper by the authors (El-Kady and Alshammari, 2011), a novel framework was developed and applied for assessment of reliability and quality performance levels in real-life power systems with practical largescale sizes.…”

Section: Introductionmentioning

confidence: 99%

Novel assessment of power system reserve-based on the reliability and quality levels

Alshammari¹,

Al-Shaalan²

2020

Int. j. adv. appl. sci.

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This paper presents a novel framework for the assessment of reliability and quality indices and the associated reserve levels in electric power systems. The developed technique takes into account the variations of demand and contingencies, which occur randomly, causing some units of generation, and/or transmission capacities to be lost. The evaluated reliability and quality measures, which are essential to assess the reserve capabilities of the power system for various operating scenarios, are probabilistic in nature. In fact, the value of demand levels, the capacity of the generation and transmission capacities are known with absolute certainty. The assessment of reliability and quality indices, in this paper, are subject to random variations and, consequently, as well as the calculated reliability indices are all subject to random variations where only expected values of these indices can be evaluated. This paper presents a novel assessment of the power system reserve-based on the reliability and quality levels. Practical applications are additionally exhibited, for demonstration purposes, to the Saudi electricity power networks.

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Section: Introductionmentioning

confidence: 99%

Novel assessment of power system reserve-based on the reliability and quality levels

Alshammari¹,

Al-Shaalan²

2020

Int. j. adv. appl. sci.

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“…In addition, the electric power utilities have a key mandate to maintain a continuous and sufficient power supply to the customers at a reasonable cost (Pandzic et al, 2016). Power system cost-effectiveness, security, adequacy and reliability analyses have evolved over the years from mere theoretical topics of limited interest, during the era of generous economy and abundant supply and facilities, to a vital branch in today's highlycompetitive business environment of power utility planning and operations (Torre et al, 2008;El-Kady et al, 1985;1986;Chen et al, 2007;Poudel et al, 2018). The investigated reliability indices are not only useful for design of flexible power supply reliability for various customers but also beneficial to long-term system capacity expansion planning of electric power systems (Choi et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of power system reliability levels for (n-1) outage contingency

Alshammari¹

2019

Int. j. adv. appl. sci.

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Throughout the world, power utilities have been struggling relentlessly with the delicate balance between cost and security/reliability. The experience gained by the power utilities at the Kingdom of Saudi Arabia has been similar to that of many public and private utilities around the world. In conjunction with energy conservation, power system security and reliability evaluation has grown to constitute a subject of prime interest. This paper presents, illustrative practical applications to evaluate power System reliability based on the (n-1) contingency. Therefore, the methodology is demonstrated in this paper, is based on combined between the evaluation of the reliability indices and contingency analysis. The methodology has been successfully applied to portions of a practical power system representing the Saudi electricity grid, where composite system performance reliability indices have been evaluated. The model System which is used contains hundreds of buses and tens of complex stations and analyzed using advanced and numerically effective large-scale computer scheme.

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“…In this regard, power system cost-effectiveness, security, adequacy and reliability analyses have become a major concern in today's highly-competitive business environment of power utility planning and operations [1][2][3]. In a recent paper by the authors [4], a novel framework was developed and applied for assessment of reliability and quality performance levels in real-life power systems with practical large-scale sizes.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Assessment of Power System Performance Quality

Alshammari¹,

El‐Kady²

2012

EPE

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In a recently published work by the authors, a novel framework was developed and applied for assessment of reliability and quality performance levels in real-life power systems with practical large-scale sizes. The new assessment methodology is based on three metaphors (dimensions) representing the relationship between available generation capacities and required demand levels. The developed reliability and performance quality indices were deterministic in nature. That is, they represent one operating state (a snapshot of the system conditions) in which the required demand as well as the generation and transmission capacities are known with 100% certainty. In real life, however, load variations occur randomly so as the contingencies which cause some generation and/or transmission capacities to be lost (become unavailable). In other words, neither the load levels nor the generation or transmission capacities are known with absolute certainty. They are rather subject to random variations and, consequently, the calculated reliability and performance quality indices are all subject to random variations where only expected values of these indices can be evaluated. This paper presents a major extension to the previously published work by developing a theory and formulas for computing the expected values of different system reliability and performance quality indices. In this context, a "contingency scenario" or a system "demand level" are regarded, in a more general sense, as a "state", which occurs with certain probability and represents a given demand value and availability pattern of various capacities in the system. The work of this paper provides a practical and meaningful methodology for real-life assessment of power system reliability and performance quality levels. Practical applications are also presented, for demonstration purposes, to the Saudi electricity power grid.

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Reliability Evaluation for Optimally Operated, Large, Electric Power Systems

Cited by 15 publications

References 8 publications

Novel assessment of power system reserve-based on the reliability and quality levels

Novel assessment of power system reserve-based on the reliability and quality levels

Evaluation of power system reliability levels for (n-1) outage contingency

Probabilistic Assessment of Power System Performance Quality

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