An Innovative Power Loss and Cost Minimization Framework for Distribution Networks With Uncertain Variable Loads by Coordinating Reconfiguration, Capacitor Installation and Renewable Generators Placement

Optimizing the reduction of power losses together with the investment and operational costs in electrical distribution systems via optimizing network reconfiguration (NR), placement of capacitor (CP), and distributed generation (DG) allocation simultaneously amidst uncertain fluctuating load conditions is considered an effective strategy. Meanwhile, this operation poses a formidable challenge of stressful computation due to the numerous iterations that the model goes through to find the best solution, particularly in the case of large-scale systems, demanding significant computational resources. In many of the previous studies within this domain, the dynamic nature of load variations was often overlooked in order to reduce the computation burden and time of the optimization problem. Albeit, such simplification has often compromised precision and led to suboptimal solutions. In this regard, the current research has introduced an innovative and streamlined approach that can incorporate load variations and uncertainty into the complex coordination of NR, CP, and DG optimization within large-scale distribution systems for the reduction of losses and costs at a relatively shorter time. We showcase the effectiveness of our modeling approach through its application to various test networks, showcasing its precision, reduced computational time, and straightforward implementation in contrast to traditional approaches which have only relied on certain peak demand considerations.