Minimization of total operational cost & voltage deviation in grid-connected unbalanced MGs using optimization approach.

An optimization method is proposed for the grid-tied unbalanced MG to reduce overall operating costs and voltage deviation. The proposed method consists of battery systems, EV, PV units, DG, and WT units. The proposed technique is the Ladder Spherical Evolution (LSE) Search algorithm, while finding the optimum method that minimizes both the net cost of the microgrid and the VDI while taking into account uncertain parameters is the major goal of the proposed work. The proposed model includes a 3-phase power flow to prevent the adoption of unworkable solutions. The restrictions for a 3-phase unbalanced network (such as DG, PV, WT, and BS units) originate from their technological constraints and the current-related depiction of power flow. At this point, the performance of the proposed technique is better than the existing approaches in MATLAB. The proposed method manages uncertainties, reduces functional costs and the voltage variation index, and offers more dependable and realistic solutions. The total cost of SSA is 480$, CHA is 470$, AOS is 450$, and the proposed is 340$. Thus, the proposed method provides an optimal solution with less computation and low cost than the existing methods. [ABSTRACT FROM AUTHOR]