A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

Abunima, Hamza; Teh, Jiashen; Lai, Ching-Ming; Jabir, Hussein Jumma

doi:10.3390/en11092417

Cited by 41 publications

(22 citation statements)

References 152 publications

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“…The OHLs also operate at their ageing temperature, which is the maximum conductor temperature before ageing occurs, determined based on the IEEE 738 standard [5]s. At each Δ of the SMC, the standard alternative-current optimal power flow (ACOPF) is executed [23], i.e. load shedding is minimised and generation redispatched is prioritised when corrective actions are required.…”

Section: A Preliminary Screening Modulementioning

confidence: 99%

Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing

2020

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This study proposes a methodology to optimise the use of average demand loss of each load bus to enhance line ratings and modify load curves, by minimising demand loss and network ageing due to elevated conductor temperatures. The considered lines are connected to load buses, operated with dynamic line rating technology and have actual conductor physical properties. The simulation of line failures considers line loadings, whose values are based on utilizations of the average demand loss of load buses where the lines are connected, and the remaining service life of the conductor. Demand response in the form of peak-shaving and valley-filling is used to modify load demand curves, with the allowable peak load reduced based on utilizations of the remaining average demand loss. The average demand loss values are determined in the preliminary screening module of the proposed method. Various trade-offs between ageing and reliability of the network are solved based on the two-objective non-sorting genetic algorithm and fuzzy decision-making method in the execution module of the proposed method. Results have shown that the proposed method is cost-effective in that it strategically increase line ageing slightly to enhance system reliability, by as much as 71.9%, based on the equal emphasis of network ageing and reliability, when compared with the scenario that only prioritizes the protection of network ageing. Line ageing is also 68.2% lower on average across the entire spectrum of rating exceedance (1% to 25%) compared to the scenario that only prioritizes enhancement of network reliability.

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Section: A Preliminary Screening Modulementioning

confidence: 99%

Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing

2020

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“…Common system load demand data used in most power system reliability analyses ignore the distinctions between load sectors and are all lumped as a single entity [1]. As a result, a load model that recognises individual load sector enables the implementations of the DR programme to be sector specific instead of blanket applications on all sectors.…”

Section: B Load Modelmentioning

confidence: 99%

“…However, wind farms should achieve grid parityproducing large-scale electricity at prices equal to or cheaper than current practices -for their integrations to be economically viable, and they have been able to do so. However, wind power intermittency is a risk to the reliability of power systems if their integrations become widespread, and limiting wind power to conservative levels is an easy way to mitigate the risk but this limitation unwantedly increases the reliance on fossil fuel [1]. Consequently, various technologies that facilitate the integration of wind without adversely affecting the reliability of power systems are explored.…”

Section: Introductionmentioning

confidence: 99%

Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission

2020

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Integrating wind power with existing generation systems is one of the most important ways to decarbonise the power sector industry. However, integration must be considered in tandem with its effects towards the adequacy of power supply mainly due to the intermittency of wind. Costs of generators and reliability and carbon emission levels of new wind-integrated generation systems have to be considered. The diversity of demand levels by various load sectors presents an additional pressure on the adequacy of generation system, which should be considered during wind integration. Demand response is effective in relieving the load demands and reducing the number of peaks, but rescheduling energy usage incurs cost to utilities, which should be considered when it is used to aid the integrations of wind power. In this paper, a holistic methodology for optimising the integration of wind power in generation systems is proposed by considering all these factors. Multiple objectives of this optimisation are solved altogether when determining the solution considering their conflicting relationships. Analyses are based on practical data obtained from several real cases. Formulations of the optimisation objectives are generic enough to be useful in other

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“…Among these data are, outage hours (OH), service hours (SH), Number of Faults (NF), Force Outage Hours (FOH) etc. Thus, the performance of the network reliability is also obtainable using the following mathematical relations [1,3,[5][6][7][8][9][10][11][12][13][14][15];…”

Section: III Mathematical Equations Of Reliabilitymentioning

confidence: 99%

Evaluating Reliability Compliance of the Power Utility Distribution Networks

Adesina¹,

Saadu²,

Abdulkareem³

2020

International Journal of Engineering Research and Technology

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Distribution network planners carry out analyses of the power distribution network that may include studies like faults, sensitivity analysis and reliability assessment to enhance the robustness of the network. System reliability is the ability of the power system to provide an adequate supply of electrical power at a desired time without interruption. This paper focuses on reliability assessment of distribution network. It involves the determination of the reliability indices which explain the dependability of the system. Fifteen 11kV feeders are considered and the required data of the feeders to be used in this study were sourced from the chosen power utility company in Nigeria. A power system software called ETAP was used in computational process. The reliability indices of the chosen network were computed, and the results obtained are presented. From the results, the performance of these Fifteen 11kV feeders are classified into three; Best, averagely and poorly performing feeders, and they are highlighted using tables and charts. The results are discussed and analyzed. The findings from the study indicate that some feeders have very good reliability indices while some are having average values and others are with poor reliability indices. The most critical feeders that need improvement were identified.

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A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions

Cited by 41 publications

References 152 publications

Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing

Demand Response and Dynamic Line Ratings for Optimum Power Network Reliability and Ageing

Integration of Wind and Demand Response for Optimum Generation Reliability, Cost and Carbon Emission

Evaluating Reliability Compliance of the Power Utility Distribution Networks

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