The integration of renewable distributed generation into distribution systems has been studied comprehensively, due to the potential benefits, such as the reduction of energy losses and mitigation of the environmental impacts resulting from power generation. The problem of minimizing energy losses in distribution systems and the methods used for optimal integration of the renewable distributed generation have been the subject of recent studies. The present study proposes an analytical method which addresses the problem of sizing the nominal power of photovoltaic generation, connected to the nodes of a radial distribution feeder. The goal of this method is to minimize the total energy losses during the daily insolation period, with an optimization constraint consisting in the energy flow in the slack bus, conditioned to the energetic independence of the feeder. The sizing is achieved from the photovoltaic generation capacity and load factors, calculated in time intervals defined in the typical production curve of a photovoltaic unit connected to the distribution system. The analytical method has its foundations on Lagrange multipliers and relies on the Gauss-Jacobi method to make the resulting equation system solution feasible. This optimization method was evaluated on the IEEE 37-bus test system, from which the scenarios of generation integration were considered. The obtained results display the optimal sizing as well as the energy losses related to additional power and the location of the photovoltaic generation in distributed generation integration scenarios.
This paper describes the mathematical development of an optimal power flow for radial distribution systems of electric energy. The aim of the optimization process is to determine optimum size and location of capacitor banks in primary feeders, looking to minimize costs with peak power losses, energy losses and bank's installation.
The objective of this paper is to demonstrate the validity of the use of sensibility parameters as a low computational cost tool to implement service restoration in medium voltage distribution networks. A linearization of the relationship between accumulated powers -active and reactive -in a node and the voltages of all nodes can be carried out by means of sensitivity parameters, in order to determine the influence in voltages, caused by variations in powers in the network nodes as intending supply restoration of loads. The validity of this analysis tool is made comparing it with the restoration/reconfiguration classical methods that uses either a constructive process or an opening process of mesh. It was observed that the service restoration by the use of sensitivity parameters normally presents a very small number of complete calculations of load flow when compared with the classical methods, in addition to a significant reduction in the switching operations, with obvious advantages in the time of restoration, and in the rates of network reliability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.