- -

Calculation of the power term in three-period electricity tariffs

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Calculation of the power term in three-period electricity tariffs

Mostrar el registro completo del ítem

Roldán Blay, C.; Escrivá Escrivá, G. (2021). Calculation of the power term in three-period electricity tariffs. http://hdl.handle.net/10251/167645

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/167645

Metadatos del ítem

Título: Calculation of the power term in three-period electricity tariffs
Autor: Roldán Blay, Carlos Escrivá Escrivá, Guillermo
Entidad UPV: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Fecha difusión:
Resumen:
Interactive simulation in Matlab of the payment for contracted power and maximum power consumed in a load curve with a three-period tariff. In electricity rates with three periods (such as 3.0A or 3.1A), the payment to be ...[+]
Palabras clave: Electricity bill , Electricity power , Electricity , Three periods , Tariff , Energy
Código UNESCO: 3306 - Ingeniería y tecnología eléctrica
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Tipo: Objeto de aprendizaje
URL: https://laboratoriosvirtuales.upv.es/eslabon/pot3p
Tipo de recurso educativo: Laboratorio virtual de simulación
Descripción acerca del uso: For correct use, the following parameters must be selected. 1.- The schedule: 1 (summer time) or 2 (winter time), which will decide the distribution of the three periods throughout the day according to the legislation in force in 2020. 2.- The demand profile: three real one-day demand profiles have been entered to check the effect of changing one profile for another on the invoice. 3.- The demand scale factor. The profiles have been defined as curves in unit values that will be multiplied by this maximum demand factor to create the demand curves. 4.- Power contracted in P1, peak period. 5.- Power contracted in P2, flat period. 6.- Contracted power in P3, valley period. 7.- Price in € / kW per day in P1, peak period. 8.- Price in € / kW per day in P2, flat period. 9.- Price in € / kW per day in P3, valley period. Once all the parameters have been selected, when simulating, the laboratory calculates in each period the maximum average quarter-hour powers that the maximeters would record, compares them with the contracted powers and obtains the billable powers and estimates the cost in each period. It is important to consider aspects such as what contracted power is more convenient in each case for each period or how its modifications affect the bill. It is also important to understand that the maximeter records the average power value in every quarter of an hour for a whole month and saves the maximum value, although for didactic reasons, the laboratory does the calculations for a single day. Try to answer the following questions: given fixed contracted powers, how does the cost of power change on the invoice depending on the scale factor? Is it a linear dependency? Similarly, how does it affect modifying the contracted powers or prices, maintaining a fixed scale factor? Finally, can each period be optimized independently of the rest for a whole year?
Destinatario: Alumno
Contexto: Ciclo superior
Dificultad: Dificultad media
Nivel de interactividad: Alto
Densidad semántica: Medio
Tiempo típico: 01 horas 00 minutos
Idioma del destinatario: Inglés
Permiso de acceso: PUBLICO

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem