Minimizing the impact of distributed generation of a weak distribution network with an artificial intelligence technique

Integration of renewable energy sources directly into the distribution network become a common practice nowadays, the contribution of renewable energy sources to the distribution network predominate by weather conditions which change short circuit level capability for the electric network. This change in the network configuration could influence the operation of the protective devices in the distribution network. In this study, an online adaptive protection scheme base on adaptive fuzzy algorithm proposed to update and optimize the protection coordination when network topology has been changed. The online algorithm depends on different parameters such as the status of main feeder circuit breaker and the prefault power flow in the network. The simplified network represents a portion of the Eastern Libyan Electric Network implemented in ETAP package.