An Efficient and reliable method for optimal allocating of the distributed generation based on optimal teaching learning algorithm

摘要

This paper presents an improved methodology based on Teaching Learning Based Optimization (TLBO) algorithm which applied for determining the optimal number, allocation and size of distributed generation (DG) to reduce the active power loss and improve the voltage profile of the network. The improved TLBO algorithm is based on the updating process in the learner phase based on the interaction between the learners and the teacher by adding a weighting factor represents the importance of the obtained solution. A constrained objective function presents the system power loss and voltage profile of the network has been suggested. The results obtained from TLBO algorithm is compared to three different intelligent optimization algorithms, genetic algorithm (GA), particle swarm optimization (PSO) and cuckoo search (CS). The analysis has been applied on two different systems, 9-bus system and IEEE 57-bus system. The results showed that the proposed TLBO algorithm is efficient and reliable method in solving the problem compared to other algorithms.