Demand-side management for the residential sector of the San Jose, Costa Rica, metropolitan region

Sauer, Ildo Luís; Mercedes, Sonia; Herrera, Alfonso Herrera; Chacón, Luiz Chen-Apuy

doi:10.1016/s0973-0826(08)60277-x

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…In this article, a DR model is presented for each type of user evaluated. The DR model for residential users is based on the implementation of the Time of Use strategy [31]. In the DR residential model, define a penetration index (δ r ) directly related to the curve's flattening.…”

Section: Model 1 Dr Model For Residentialmentioning

confidence: 99%

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Data-Driven Load Modeling to Analyze the Frequency of System Including Demand Response: A Colombian Study Case

et al. 2021

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This paper analyzes the potential impact of implementing demand response strategies in a power system. This work aims to present a methodology to evaluate three demand response models to reduce frequency variations in the system. The method starts with the modeling of the system load and the demand response strategies. The power loads are modeled through active power and reactive power measurements in the system's different buses. A data-driven methodology is proposed to obtain three profiles that simulate residential, commercial, and industrial users' behavior. Mathematical modeling is proposed for demand response strategies. Time of Use tariff, Solar PV Distributed Generation, and Load Curtailment are the strategies used for residential, commercial, and industrial users, respectively. A brand-new combination of scenarios is developed in this paper with different penetration levels of the demand response strategy. Besides, a novel analysis of the frequency profile is performed for the proposed scenarios. A modified IEEE-39 power system is proposed, adjusting generation and demand using the Colombian demand profile and the generating units' energy mix. The results indicate that the implementation of demand response strategies improves the system's frequency profile. The frequency drop was reduced by 11.4 %, and power generator units released up to 2.1 GWh through the day with the implementation of the DR strategies.

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Section: Model 1 Dr Model For Residentialmentioning

confidence: 99%

“…The proposed models for the different types of users are described as follows. The DR model for residential users is based on the Time of Use strategy program [31]. The DR residential model is characterized by maintaining the total amount of energy throughout the day.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Load Modeling to Analyze the Frequency of System Including Demand Response: A Colombian Study Case

et al. 2021

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“…Adicionalmente, en el país el concepto de manejo de la demanda eléctrica suele lipara ayudar a reducir el nivel de carga y el problema energético estacional. Sin embargo, se deja por fuera acciones para promover el manejo de carga, que son útiles para reducir los picos diarios de consumo (Sauer et al, 2001). 3.…”

Section: Obstáculos Para Implementar Una Política De Manejo De Demandunclassified

Manejo de la demanda eléctrica para aumentar la sostenibilidad del sector eléctrico en Costa Rica

Salazar

2012

Rev. Ambientales.

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<p>El artículo invita a reflexionar sobre la teoría de manejo de la demanda eléctrica como una alternativa para mejorar la sostenibilidad del sistema eléctrico nacional y avanzar en la discusión del modelo eléctrico. La sostenibilidad del futuro energético apunta a la integración de redes inteligentes, generación distribuida, alta penetración de energías renovables no convencionales y tecnologías eficientes. El artículo propone el manejo de la demanda eléctrica como la base de una política pública a largo plazo que apoye e integre las estrategias antes mencionadas. A lo largo del artículo se reconoce la vulnerabilidad del sistema eléctrico nacional, se explica el marco conceptual del manejo de la demanda eléctrica, las ventajas y obstáculos para su implementación, así como una serie de acciones claves para facilitar el desarrollo de una cultura alineada con el manejo de la demanda eléctrica. </p>

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Transforming the Nicaraguan energy mix towards 100% renewable

2017

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Demand-side management for the residential sector of the San Jose, Costa Rica, metropolitan region

Cited by 8 publications

References 7 publications

Data-Driven Load Modeling to Analyze the Frequency of System Including Demand Response: A Colombian Study Case

Data-Driven Load Modeling to Analyze the Frequency of System Including Demand Response: A Colombian Study Case

Manejo de la demanda eléctrica para aumentar la sostenibilidad del sector eléctrico en Costa Rica

Transforming the Nicaraguan energy mix towards 100% renewable

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