Optimal Placement and Sizing of Multiple DG Units using Improved Metaheuristic Algorithm on Transmission Systems

Abstract

Due to today's advanced technology, global concern about the environment, as well as the need for affordable and reliable electric power, has resulted in a considerable focus on the design of distributed generators (DGs). However, appropriate DG location and sizing provide numerous benefits like voltage management, enhanced dependability, reduced loss, and increased voltage stability. The optimal placement and DG sizing units in transmission systems are considered as an NP hard optimization issue, which can be resolved by the use of metaheuristic optimization algorithms. Several metaheuristic optimization algorithms are developed in the state-of-the-art placement and sizing process of DG units. With this motivation, this study focuses on the design of optimal placement and sizing of DG units by using the improved whale optimization algorithm (OPSDG-IWOA) on transmission systems. The main goal of the proposed OPSDG-IWOA technique is to improvise the voltage stability and decrease the loss in the transmission system. Besides, the OPSDG-IWOA technique derives a fitness function by involving different measures for DG placement and sizing. Moreover, a penalty factor is considered for exploring the actual and precise outcome of the voltage profile enhancement and PL minimization. In order to assess the effectual outcomes of the OPSDG-IWOA technique, a series of simulation operations are performed on the IEEE 33 bus system and the resultant outcomes have highlighted the enhanced performance of the OPSDG-IWOA technique over the other techniques.