Ubicación óptima de PMU considerando restricciones de contingencias N-1 en sistemas eléctricos de potencia

Carrion, Diego; Sánchez, Jorge

doi:10.29019/enfoqueute.v10n1.437

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…The common denominator of these energies is their variability over time, forcing them to have rolling stock with non-renewable plants such as thermal power stations. One solution is Energy Storage, with which energy can be saved in resource-intensive hours and dispatched at peak times; this allows, among other things, for a reduction in costs and CO2 emissions (Barrantes, n. d.;Energía y Sociedad, 2010;Pereira, 2014b;Sudriá, 2007) (Carrión Galarza & González Sánchez, 2019;Ruiz Maldonado & Inga, 2019).…”

Section: Smart Gridsmentioning

confidence: 99%

Estimated cost of electricity with time horizon for micro grids based on the policy response of demand for real price of energy

Torres

2020

Enfoque UTE

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The intelligent microgrids are an efficient alternative, which allows to supply the demand decreasing the losses of the electrical system and at the same time; the environment and the consumers are the main beneficiaries. This article develops a heuristic based on an energy management model based on the real price of electricity, which will allow end users to encourage the implementation of a policy of response to demand, in order to optimize their consumption, for which a micro smart grid is analyzed, with conventional and non-conventional renewable generation, In addition, a mechanism of "real energy price" will be implemented as a policy of response to demand, with the aim of optimizing the costs of energy that will be transferred to users depending on the stratum to which it belongs, these costs will have a short-term horizon with hourly intervals, achieving a reduction in the purchase of energy from the system

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Section: Smart Gridsmentioning

confidence: 99%

Estimated cost of electricity with time horizon for micro grids based on the policy response of demand for real price of energy

Torres

2020

Enfoque UTE

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“…Traditional EPS have become a smart grid, which are based on communication, control, monitoring and energy management systems to optimize the use of resources and the response to contingencies. The operation control algorithms of the SEP are found in the control centers, where the behavior of all the electrical variables of the EPS is monitored and decisions are made to connect or disconnect elements for events such as low system frequency (Carrión & Gonzalez, 2018;Carrión & González, 2019;Correa, Inga, Inga, & Hincapie, 2018;Inga Ortega, Inga, Correa, & Hincapié, 2018;Maldonado, 2017;Ruiz, Masache, & Domínguez, 2018;Ruiz Maldonado & Inga, 2019).…”

Section: Introductionmentioning

confidence: 99%

Alternative Under Frecuency Load Disconection Methodology Based on Semi-Adaptative Model

2020

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Stability analysis in electrical power systems is based on the study in dynamic state of the voltage and frequency, since at the moment that there is some contingency it fluctuates drastically due to the primary and secondary controls of the voltage and frequency to the power systems that act on the generators. In order to solve the possible stability problems that may arise in power systems, various techniques have been developed that act on the generating machines for their protection as well as on the loads for the power cut. The present investigation proposes an alternative methodology for load disconnection by low frequency as an option to save the power system from a possible blackout due to instability due to a fall in the frequency, managing to improve the results affected by other improved techniques, the frequency change range, frequency deviation and the effects of demand disconnection. The proposed methodology was tested in the IEEE 14 bus system.

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“…Distribution systems play an essential role since it interconnects the transmission system and the users. Research efforts in the area have been directed toward developing methodologies for optimal design, planning, and expansion of modern electrical distribution systems (Carrión Galarza & González Sánchez, 2019).…”

mentioning

confidence: 99%

Optimal Location of Transformers in Electrical Distribution Networks Using Geographic Information Systems

2020

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This research shows a heuristic model for the design of scalable and reliable electrical distribution networks. The algorithms presented allow to optimize the location of transformation centers using on their database geographic information systems from which it is possible to define user locations, candidate sites, possible routes for the deployment of the electricity grid and, in general, data for the reconstruction of the scenario. The model employs clustering and triangulation methods, as well as algorithms for creating a minimally expanding tree and the consequent site assignment for transformer placement. After setting the optimal locations for the transformer site, the algorithms compute voltage drops in secondary circuits, required transformation capability, execution times, and coverage achieved. The results obtained are adjusted to the requirements of an actual distribution power grid and show a good performance on the proposed scenario.

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Ubicación óptima de PMU considerando restricciones de contingencias N-1 en sistemas eléctricos de potencia

Cited by 5 publications

References 29 publications

Estimated cost of electricity with time horizon for micro grids based on the policy response of demand for real price of energy

Estimated cost of electricity with time horizon for micro grids based on the policy response of demand for real price of energy

Alternative Under Frecuency Load Disconection Methodology Based on Semi-Adaptative Model

Optimal Location of Transformers in Electrical Distribution Networks Using Geographic Information Systems

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