Bi-Level Planning for Distributed Power Supply Using the Improved Whale Optimization Algorithm

Optimizing distributed power supply planning is essential to enhancing the impact of distributed power supply on the secure and cost-effective operation of the distribution network. This study establishes a two-layer programming model and selects wind power, solar, and micro-gas turbines as distributed power sources to be scheduled. This study aims to improve the whale algorithm by utilizing tent mapping, inertial weight, and nonlinear shrinkage factor to address issues like slow convergence and delayed jumping out of local solutions. This study solves the proposed model on the IEEE-33 node system using the enhanced whale algorithm and compares the outcome with other techniques. The enhanced whale algorithm offers the most noticeable improvement in node voltage and the lowest annual comprehensive cost, according to the data.