Modelo hiperheurístico basado en razonamiento con función de selección multiretropropagación.

Aplicación para resolver el problema del vector óptimo de inyecciones de potencias desde micro-generación fotovoltaica en baja tensión

Abstract

The new paradigm of electricity supply, called Distributed Generation and Micro-Generation (DG and MDG, respectively), complementary to the traditional one, referred to as Centralized Generation (CG), as a reality to promote the penetration of primary sources of renewable energy in the Energy Matrix. Particularly, the MDG involves the introduction of a new figure as agent of the Low Voltage (LV) Electric Power Distribution System (EPDS): the prosumer or micro-generator user. However, there are technical aspects related to the operation of the LV EPDS within specific and regulated parameters of tolerance that, if not resolved, may threaten this new paradigm, given that the planning and operation of the network change substantially. This work presents, continuing with lines of research addressed by the authors, a more efficient HyperHeuristic Model Case Based Reasoning whith Multi-Backpropagation Selection Function, to solve the Power Injection by Micro- Distributed Generators in a Low Voltage Electric Power Distribution System Optimizing Problem, focusing in Solar Photovoltaic Systems (PI MDG LV EPDS). The proposed Model is applied on a real LV EPDS, comparing the results with other similar HyperHeuristic Models with Simple-Back-Propagation Selection Function, and showing some advantages that it exhibits.