19-08-2017, 12:15 PM
The methodology adopted to improve reliability, uses Monte Carlo simulation and historical data of the network as the level of reliability and severity of potential contingencies in each branch. The method analyzes the RDS from two perspectives. A first optimization perspective considering no investment, therefore using only the switches presented in the network, and a second optimization perspective where it is possible to place a limited number of connection switches and thus obtain better results. Here, the number of connection switches and the branches that can receive them are defined by a decision agent. The efficiency of the proposed method is demonstrated through the analysis of a 69 bus RDS.
Existing distribution networks are growing increasingly complex due to the gradual increase in energy demand and the existence of customers with more sensitive loads. An interruption currently has a more severe impact on the load equipment than on existing loads a few years ago. This fact combined with the analysis of customer failure statistics, also causing financial losses for utility companies, reinforces the need to be concerned with assessing the reliability of the distribution network.
Existing distribution networks are growing increasingly complex due to the gradual increase in energy demand and the existence of customers with more sensitive loads. An interruption currently has a more severe impact on the load equipment than on existing loads a few years ago. This fact combined with the analysis of customer failure statistics, also causing financial losses for utility companies, reinforces the need to be concerned with assessing the reliability of the distribution network.