Methodology for prioritizing investments in distribution networks electricity focusing on operational efficiency and regulatory aspects

The current scenario of the Brazilian electricity sector, through constant and recent regulatory changes imposed by ANEEL in recent years, brings us to a situation full of new challenges in order to maintain constant improvement in the supply of electric energy to consumers, ensuring each service more efficient in order to reduce the operating costs associated with the business. In order to regulate the amount of investments to be made by the concessionaires of electricity distribution, cycles of periodic tariff revision 5 years, where the regulator monitors the levels of investment in the park's electrical infrastructure assets of each company were established by Factor X. Thus an amount of prudent investment to be applied to the electrical system and recognized in the tariff, to ensure the application of resources, but without penalizing consumers with significant increases in the amount of energy is established. Besides the X-factor from the Third Cycle of Periodic Tariff Review each company, established the creation of the Q factor, which makes up the annual rate adjustment as a way to measure the operational efficiency of enterprises. The creation of the Q factor determines the annual adjustment in the tariff value is fixed at a dealership because of the difference of the inflation rate during the Q factor, which can guarantee a lower inflation adjustment or greater according to the performance of licensee in relation to the target ANEEL for the year of determination and with respect to their performance in the previous year to the determination, requiring companies to remain within the targets set by the regulator and also to plot a course of steady improvement in indicators continuity in the supply of electricity delivered to consumers. Soon this work presents a methodology for prioritizing investments in primary distribution networks of electricity associated methodologies to aid decision making of high complexity in the prioritization and planning of actions to be undertaken, seeking to further involve practical aspects such as the optimization of implementation capacity of companies within their regional capabilities.