2019
DOI: 10.3390/en12173369
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Review on Distribution Network Optimization under Uncertainty

Abstract: With the increase of renewable energy in electricity generation and increased engagement from demand sides, distribution network planning and operation face great challenges in the provision of stable, secure and dedicated service under a high level of uncertainty in network behaviors. Distribution network planning and operation, at the same time, also benefit from the changes of current and future distribution networks in terms of the availability of increased resources, diversity, smartness, controllability … Show more

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Cited by 24 publications
(16 citation statements)
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References 91 publications
(138 reference statements)
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“…Installing phasor measurement units can improve the visibility of the network and linearize the measurement formulations in DSSE, not a cost-effective solution in current LV feeders [13]. Usually, indirect measurements called pseudo measurements are used to solve the estimation problem in networks with limited real measurements [14]. Pseudo measurements provide lower accuracy and higher uncertainty compared with real measurements.…”
Section: A Se In Dns With Limited Measurement Devicesmentioning
confidence: 99%
“…Installing phasor measurement units can improve the visibility of the network and linearize the measurement formulations in DSSE, not a cost-effective solution in current LV feeders [13]. Usually, indirect measurements called pseudo measurements are used to solve the estimation problem in networks with limited real measurements [14]. Pseudo measurements provide lower accuracy and higher uncertainty compared with real measurements.…”
Section: A Se In Dns With Limited Measurement Devicesmentioning
confidence: 99%
“…In order to fully grasp the operation status of DN, it is necessary to evaluate the operation scenarios based on actual operation data. The widely used methods for quantifying operating status of DN mainly include online monitoring technique (Abu-Siada and Islam, 2012), the Monte Carlo simulation (Lim et al, 2006), inter-temporal simulation, and optimization method (Liao, 2019). The current methods for evaluating operating status have reflected the ability of DN to cope with the uncertainties of source and load (Zhong et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Holjevac et al [17] analyzed the structure and features of the supply chain for engineering machinery producers and built a cooperative game model for the supply chain to optimize both inventory and distribution. Based on the shared sales information of green supply chain, Liao [18] designed an intelligent algorithm capable of precisely determining the raw material demand and proposed a distribution optimization strategy based on inventory and demand. To balance the logistics costs between suppliers and producers, De Corte and Sörensen [19] fully considered such constraints as the proportional supply by multiple suppliers, introduced the cost subsidy to the game model of the supply chain, and improved the particle swarm optimization (PSO) to support the intelligent, fast, and optimal decision-making of batch size and frequency of distribution.…”
Section: Introductionmentioning
confidence: 99%