"Estimación de la curva de la demanda a corto plazo en función de una onda madre"

El presente artículo se desarrolla para determinar la curva tipo madre o patrón de una base de datos histórica, que permita estimar el comportamiento de la demanda de consumo a corto plazo de un sistema eléctrico de potencia, mediante la aplicación de la metodología MapReduce (minería de datos) utilizando el programa Matlab, que permite realizar el manejo adecuado de datos históricos. En base a lo indicado, se vuelve preponderante el desarrollo de herramientas que permitan prever el crecimiento y comportamiento de la demanda de un sistema eléctrico, especialmente con el ingreso de generación intermitente distribuida y las diversas cargas industriales y especiales que pueden estar conectadas en los sistemas de distribución. Estas herramientas deben prever el manejo adecuado de una gran cantidad de información, que coadyuve al desarrollo de programas complementarios que les permita a las empresas eléctricas u operadores del sistema a prever la generación necesaria para cumplir con las condiciones de confiablidad y continuidad del suministro eléctrico al usuario final.This article is developed to determine the mother curve or pattern of a historical database, which allows estimating the behavior of consumer demand in the short term of an electrical power system, through the application of the MapReduce methodology (mining of data) using the Matlab program, which allows proper handling of historical data. Based on the above, the development of tools that allow forecasting the growth and behavior of the demand of an electrical system becomes preponderant, especially with the entry of distributed intermittent generation and the various industrial and special loads that may be connected in the systems. of distribution. These tools must provide for the proper handling of a large amount of information, which contributes to the development of complementary programs that allow electricity companies or system operators to predict the generation necessary to meet the conditions of reliability and continuity of the electricity supply to the final user

Hierarchical distributed scheme for demand estimation and power reallocation in a future power grid

The classical power allocation/reallocation faces difficult challenges in a future power grid with a great many distributed generators and fast power fluctuations caused by high percentage of renewable energy. To perform power reallocation fast in a future power grid with a large number of participants and disturbances, a hierarchical distributed scheme based on a partition framework is proposed. In the proposed scheme, the power grid is naturally partitioned into a certain number of regions, and the total energy demand in the power grid with disturbances is automatically estimated rather than given in advance. Besides, the centralized local optimizations in regions and the distributed global optimization among regions are coupled to solve the power reallocation problem, in which each region performs as a single agent. Thus, the agents in the proposed scheme are much fewer than the purely distributed ones, hence the communication load is greatly relieved and the reallocation process is significantly simplified. Effectiveness of the proposed scheme is verified by the cases