Title :
Electrical appliances duty cycles obtained from total demand of household using evolutionary programming
Author :
Cortés, José C Romero
Author_Institution :
Dept. de Sistemas, Univ. Autonoma Metropolitana, Mexico City, Mexico
Abstract :
The estimation of electrical appliances demand represents in the electrical sector an important point as part of the operation and planning processes. Part of the revenues are obtained from the tariffs that consumers pay, and represents resources for financing the growth and operation of the electrical sector. This paper shows a methodology based on evolutionary programming for estimating the demand for each electrical appliance in a household based on the total demand, in contrast with other more restricted approaches, where they obtained demand samples for each appliance in any time period, and then estimate the true demand. An example is presented and discussed
Keywords :
demand side management; domestic appliances; genetic algorithms; tariffs; duty cycles; electrical appliances; electrical sector; evolutionary programming; genetic algorithms; household total demand; operation processes; planning processes; revenues; tariffs; total demand; Costs; Electrical products; Energy consumption; Genetic algorithms; Genetic programming; Home appliances; Mathematical model; Mathematical programming; Process planning; Reactive power;
Conference_Titel :
Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on
Conference_Location :
Cholula, Puebla
Print_ISBN :
0-7803-6606-9
DOI :
10.1109/ISIE.2000.930486