A Novel Technique Based on Aquila Optimiser Algorithm for Optimal Integration of Distributed Generations in the Distribution System

In recent years, distributed generating systems such as solar photovoltaic, wind turbines, and others have been widely incorporated into distribution systems to reduce power loss, enhance voltage profile, and so on. However, incorrect distributed generations placement can have a negative influence on distribution systems, such as an increase in system power loss and a fall in bus voltage magnitude. Therefore, the proper distributed generations allocation and sizing has evolved into a challenging problem in the power systems. Metaheuristic algorithms have been proven to be effective in tackling these difficulties. However, the stochastic nature and attainment of local convergence/sub-optimal solutions of these algorithms have always provided a scope for developments and implement of new optimisation techniques for distributed generations allocation. For optimum allocation and sizing of distributed generations, this study employs a unique population-based method known as the aquila optimiser algorithm. The major scope of this study is to reduce overall active/real power loss while preserving bus voltage restrictions, branch current limitations, and distributed generations active power injection. The objective function evaluation is performed using a basic direct load flow approach. The simulation results obtained with the 33-bus balanced radial distribution systems indicate that significant reduction in the total active power loss, improvement in the voltage profile, and reduction in the individual branch current can be attained with the optimal placement and sizing of the distributed generations. The total active power loss is also examined in relation to the aquila optimiser algorithm settings. In compared to some of the other established approaches mentioned in the literature, the presented strategy yields reduced total active power loss.