Demand behavior evaluation in modeling distribution networks
Kaydedildi:
| Yazarlar: | , , , , |
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| Materyal Türü: | artículo original |
| Durum: | Versión publicada |
| Yayın Tarihi: | 2024 |
| Diğer Bilgiler: | Electric utilities aim to establish dependable electrical transmission and distribution infrastructure to fulfill the energy requirements of users. The availability of a strong electrical infrastructure can frequently enhance grid flexibility, resilience, and security. Inadequate planning often leads to insufficient investment in essential electrical projects, resulting in their potential postponement and compromising the system’s reliability. In order to effectively manage the power system, it is essential to possess data pertaining to generation, demand respond, and all other relevant factors required for proper planning. This article will simulate and evaluate demand response modeling using data obtained from smart meters and distribution network measurements. We utilized the Electrical Transient Analyzer Program (ETAP®) to simulate a residential distribution network consisting of 634 residential loads. The objective was to evaluate the impact of these loads on the operation of the distribution network. The simulation results indicate that utilizing smart meter data or distribution circuit measurements can lead to differences of up to 13.06% in demand responsiveness. Moreover, in both scenarios, distinct voltage profiles might be attained, which can potentially undermine the decision-making process in the planning of electrical networks. |
| Ülke: | Portal de Revistas TEC |
| Kurum: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Dil: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/7050 |
| Online Erişim: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/7050 |
| Anahtar Kelime: | Load Management hosting capacity power system planning distribution grid planning demand respond Gestión de carga capacidad de alojamiento planificación del sistema eléctrico planificación de la red de distribución respuesta a la demanda |