Multiobjective Multiscenario Framework for RCS Placement in Unbalanced Distribution Systems Considering Uncertainty

Abstract

This article presents a multiobjective multiscenario framework for the placement of remote-controlled switches (RCSs) to enhance the efficiency and reliability of the unbalanced distribution systems. Two scenarios are formulated, which include healthy and postfault persistent conditions. A healthy condition consists of cumulative power loss and aggregated RCS installation and maintenance costs as objectives. Postfault persistent condition includes the total number of restored load and aggregated RCS installation and maintenance costs as objectives. A set of optimal solutions are derived by employing the nondominated sorting genetic algorithm (NSGA-II) for multiple scenarios. Lastly, a set of optimal solutions are derived by employing a multiscenario integrated NSGA-II (MSNSGA-II) optimization technique utilizing the already obtained optimal solutions. The key contribution of this article is the design of an algorithm, which can deal with both healthy and persistent postfault conditions. The second significant contribution is the consideration of uncertainty in the load and renewable energy sources along with the network reconfiguration. Another vital contribution of this article includes the application of the holomorphic embedding power flow method in an unbalanced distribution system. The effectiveness of the proposed technique is demonstrated by implementing the proposed method on the IEEE 34-bus and IEEE 123-bus system.