Electric Power Grid Reliability Evaluation

Singh, Chanan; Jirutitijaroen, Panida; Mitra, Joydeep

doi:10.1002/9781119536772

Cited by 60 publications

(38 citation statements)

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“…(c) Evolution dynamics of bias, errors and error corrections due to society-pressures: Political and¯nancial pressures in hiring, funding and publication processes can act as a positive feedback to increase bias. A systematic positive feedback can potentially evolve into singularities such as large-scale breakdown in power grid systems (blackouts) [9]. (d) Reader bias and errors: In°uences of personality, society (e.g., media) and background knowledge can yield a heavy bias also on the Reader's interpretation of the publication, where all the above-mentioned examples can be relevant.…”

Section: Some Of the Open Questionsmentioning

confidence: 99%

An Information Theoretic Approach to Originality and Bias in Science

2020

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Section: Some Of the Open Questionsmentioning

confidence: 99%

An Information Theoretic Approach to Originality and Bias in Science

2020

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“…In this study, the estimation of the random variable representing the load to be served by the conventional units PTh_units, is obtained, as described in Equation (2), as a result of the convolution of the independent pdfs PLoad(mo,hr), PWind(mo,hr), and PPV(mo,hr) [31]. (2) These PDFs have been extracted from hourly data of these three years, defining discrete steps of demand or production for each month and hourly type.…”

Section: Derivation Of the Expected Thermal Generation Probability Dementioning

confidence: 99%

“…(2) These PDFs have been extracted from hourly data of these three years, defining discrete steps of demand or production for each month and hourly type. The steps for the purposes of this paper are defined as: In this study, the estimation of the random variable representing the load to be served by the conventional units P Th_units , is obtained, as described in Equation (2), as a result of the convolution of the independent pdfs P Load (mo,hr), P Wind (mo,hr), and P PV (mo,hr) [31]. P Th_units (mo, hr) = P Load (mo, hr) − P Wind (mo, hr) − P PV (mo, hr)…”

Section: Derivation Of the Expected Thermal Generation Probability Dementioning

confidence: 99%

“…Generation adequacy of a power system is the assessment of the ability of the conventional units to meet the consumption of the power system, based on reliability indices. The simplest stochastic method for considering the reliability of a production unit is the two-state model [31], provided by Equation (4). This model defines two possible states for each unit.…”

Section: Reliability and Forced Outage Ratementioning

confidence: 99%

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Improving Reliability Indices of the Autonomous Power System of Crete Island Utilizing Extended Photovoltaic Installations

et al. 2019

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Renewable energy sources (RES) have significantly helped in meeting the electricity demand of Crete, with their share in the energy balance to account for about 25% of the annual electricity production for the past five years. The contribution of photovoltaics (PVs) has been especially significant for the past three years, offering 10% in the peak demand, during summertime. This paper investigates what the capacity credit would be, i.e., up to what extent increasing existing PV capacity by about 20% can be considered as certain, to avoid installing thermal power units. In order to do so, probabilistic techniques have been applied to quantify the load that the installed thermal units in the Cretan power system should be able to meet at any time. In addition, the effect of the additional PV capacity to power system's reliability is evaluated, introducing a new reliability index and taking into account actual data, regarding the planned and unplanned thermal units' maintenance. Two scenarios have been examined using actual hourly data for load demand, PV, and wind production from the island power system of Crete. In the first scenario, the calculations were carried out considering the operation of the Cretan power system in its current state, while in the second scenario it was assumed that the PV production has been increased by 20%. Furthermore, we examine how the maximum value of capacity credit can be achieved as the PV installations are extended. In this regard, there is an upper limit of the additional PV capacity that leads to the maximum value of capacity credit.Energies 2020, 13, 64 2 of 15 much widespread in any power system as PVs as they are not modular with the exception of solar dishes [9] and face more sitting constraints than PVs. This is the reason for focusing on PVs and their potential reliability impact on island power systems like Crete.There have been numerous studies regarding the potential benefits of PVs already since 90 s. In [10] the value of PVs for voltage support, loss, and peak reduction, distribution systems are studied while comparisons are made with the conventional and widely used methods for voltage control and loss minimization. In another study [11], the value of PVs for society have been examined from both the consumer and the utility perspective, claiming that the decentralized PV systems have a higher value for the society due to the fact that the customers are involved in their own electricity supply. Generally, the presence of solar electricity resources, such as any other distributed generation, can eliminate or delay the need for investments on transmission or distribution grid level [12]. According to a past study [13], strategically sited PVs provide grid support to substation transformers by reducing their oil temperature due to the lower demand caused by PV.PVs have greatly helped in electrifying rural areas such as in middle northeast Africa and southeast Asia countries [14], Honduras [15], and desert regions [16], as an alternative to grid extension or fossil fuels....

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“…Power system reliability [25] is defined as the ability of the power system to keep supplying the load, considering the generation and transmission capacity, considering the fact that the system components have a certain probability of failure. This section reviews the power system reliability indices and introduces the evaluation methods used in the case study in this paper.…”

Section: Reliabilitymentioning

confidence: 99%

Methodology for Assessment of the Impact of Smart Transformers on Power System Reliability

Chen

Nouri

Keane

et al. 2019

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

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The smart transformer (ST) has been proposed as an alternative to the traditional low frequency transformer as a means to provide extra control functionality in the smart power system. The ST has merits in terms of reactive power decoupling and voltage decoupling at the primary and secondary side. This provides flexibility for reactive power compensation in the transmission system and demand reduction in the distribution system. Using its ability to control demand through voltage regulation, the ST provides the possibility to reduce demand while keeping the entire load online, which can provide an alternative to load curtailment. Thus, it may provide a means to improve power system reliability. However, no of previous research has investigated these potential system reliability benefits of the ST. The paper presents a methodology which can be used to quantify the system reliability impacts of the use of STs as an interface between the transmission and distribution systems. Using the methodology, the ST impacts on the system reliability are assessed using the IEEE 39-bus system as an example.

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Electric Power Grid Reliability Evaluation

Cited by 60 publications

References 0 publications

An Information Theoretic Approach to Originality and Bias in Science

An Information Theoretic Approach to Originality and Bias in Science

Improving Reliability Indices of the Autonomous Power System of Crete Island Utilizing Extended Photovoltaic Installations

Methodology for Assessment of the Impact of Smart Transformers on Power System Reliability

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