Energy Optimization in Smart Grids Using Whale Optimization Algorithm and Fuzzification

Regarding the significance of energy distribution smart grids and the operation of smart grids, this paper presents a novel method to reduce power loss in these grids. The proposed method determines the injected reactive power and tap of an on-load tap changer (OLTC) optimally using an optimization algorithm. Loss reduction, voltage profile improvement, costs caused by reactive power injection by the capacitor in the grid, conservation voltage reduction (CVR), and transformer loss are considered as objective functions. The new Whale Optimization Algorithm (WOA) is employed as the Volt/VAR Optimization (VVO) algorithm in this paper. The algorithm inspired by the hunting behavior of humpback whales has a high convergence speed, fewer parameters to adjust, and a balance between exploitation and exploration phases. In addition to the above advantages, the WOA has accurate convergence and an effective variety of solutions. The suggested method is applied to the standard IEEE 33-bus system. According to the optimization results, the operating conditions of the distribution smart grid has been improved and the loss has been significantly reduced. Furthermore, the WOA provides better performance in solving the given optimization problem.

Energy Optimization in Smart Grids Using Whale Optimization Algorithm and Fuzzification Keywords:

smart grid , Whale Optimization Algorithm , energy losses , voltage-var optimization , Capacitor placement