摘要:AbstractThis paper proposes an application of Teaching Learning Based Optimization (TLBO) method for optimal integration of Distributed Generations (DGs) in distribution systems to minimize annual energy loss and to maintain a better node voltage profile using penalty factor approach. A piece-wise linear variable load pattern is considered and the distribution network is reconfigured after optimal DG placement. Efforts have been made to scan the search space efficiently in such a way that every node of the system is a candidate node for DG placement with a priority level. The proposed method is applied on IEEE 33-bus test distribution system. The results obtained are promising when compared with other recently established methods.
关键词:KeywordsDistributed generationsintelligent searchnetwork reconfigurationsmart distribution systemsteaching learning based optimization