2017
DOI: 10.1016/j.energy.2017.07.115
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Risk assessment of power transmission network failures in a uniform pricing electricity market environment

Abstract: This paper proposes a novel risk assessment method for power network failures considering a uniform-pricing market environment, different from previous risk assessment studies, which mainly emphasize technical consequences of the failures. In this type of market, dispatch infeasibilities caused by line failures are solved using a counter-trading mechanism where costs arise as a result of correcting the power dispatch. The risk index proposed takes into account these correction costs as well as the cost of the … Show more

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Cited by 13 publications
(6 citation statements)
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“…It can be observed from Fig. 8b that the buses 10,16,17,18,19,20,21,22,25,26 having a higher risk are reduced further by optimal placement of wind generator. The risk is increased after the placement of wind generator in buses such as 11, 13, 17, 23, 24, 27, 28, 29 and 30. The profit of the system is determined by considering the line outages, generator outages and random load variations.…”
Section: Resultsmentioning
confidence: 97%
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“…It can be observed from Fig. 8b that the buses 10,16,17,18,19,20,21,22,25,26 having a higher risk are reduced further by optimal placement of wind generator. The risk is increased after the placement of wind generator in buses such as 11, 13, 17, 23, 24, 27, 28, 29 and 30. The profit of the system is determined by considering the line outages, generator outages and random load variations.…”
Section: Resultsmentioning
confidence: 97%
“…In objective functions (18) and (19), assuming zero cost of wind generation, the expected profit of the GENCOs in forward market is given by first term as the revenues obtained by the GENCOs in the forward market and balancing market, respectively, second term gives the net generation cost (fixed cost + variable cost) of the GENCOs and the third term gives the revenue obtained by wind power production. The equalities (20) and (21) give the real power balance equations and (22) and (23) give the power flow equations, where…”
Section: Upper-level Problem Formulation: Profit Maximisationmentioning
confidence: 99%
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“…For qualitative variables, a series of chi-squared analyses are conducted between the dependent and the predictor variables. For quantitative variables, analysis of variance methods is used where intervals (splits) are determined optimally for the independent variables so as to maximize the ability to explain a dependent measure in terms of variance components [29,30]. By means of chi-squared metrics, CHAID is able to separately segment the groups classified in terms of the level of relations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Consistent with the sources of the epistemic uncertainty, the epistemic parameter comprises three types, explicitly scenario, inherent uncertain, and design uncertainty. For the scenario parameters, the uncertainties impact on the energy market and energy supply systems is analyzed from the risk assessment (Abdin et al, 2017). Besides, demand side management to reduce the uncertainty is also implied.…”
Section: Uncertaintymentioning
confidence: 99%