Distribution of distributed generation resources in distribution systems has several advantages, including reducing losses, improving voltage profiles, reducing pollution, and increasing system reliability. However, one of the most important points regarding the placement of these resources in distribution networks is economic issues and the return on investment and the increase in profits from...

The modest objective is to check the integrated effect of energy storage systems (ESSs) and distributed generations (DGs) compare optimization size location ESS DG explore its challenges for smart grids (SGs) modernization. research enlisted different algorithms cost-effectiveness, security, voltage control, less power losses. From this perspective, distribution network’s capacity are being per...

ant colony optimisation (aco) algorithm and adaptive refinement mechanism are used in this paper for solution of optimization problems. many of the real engineering problems are، however، of continuous nature and finding their solution by discrete ant based algorithms requires discretisation of the decision variables in which affected the convergence and performance of the algorithm. in this pa...

The static and dynamic economic dispatch problems are solved by creating an enhanced version of ant lion optimisation (ALO), namely a tournament selection-based (TALO) method. proposed algorithm is presented to solve the combined emission (CEED) problem with considering generator constraints such as ramp rate limits, valvepoint effects, prohibited operating zones transmission loss. algorithm’s ...

<p>In sensor networks the main problem facing by many researchers is regarding energy efficiency. Different protocols are evaluated for communicating between nodes. The routing protocol when combined with evolutionary algorithms gives best optimal solution incurred in wireless networks. In this paper, ant lion efficient-power efficient gathering information systems (ALEEPEGASIS) used to d...

In recent years, several high-performance nature-inspired metaheuristic algorithms have been proposed. It is important to study and compare the convergence, computational burden statistical significance of these metaheuristics aid future developments. This focuses on six metaheuristics, namely, ant lion optimization (ALO), arithmetic algorithm (AOA), dragonfly (DA), grey wolf optimizer (GWO), s...

The most common problems encountered in any electrical distribution system are load unbalance and restoring service to healthy zones the case of a fault. on network is not constant varies from feeder throughout day. In event fault, reconfiguration performed balance loads restore zones. Network involves modifying structure by sectionalizing tie switches. Through reconfiguration, can be transferr...