Many optimization problems have been successfully addressed using metaheuristic approaches. These approaches are frequently able to choose the best answer fast and effectively. Recently, use of swarm-based algorithms, a kind approach, has become more common. In this study, hybrid method called WOAGWO is proposed by combining Whale Optimization Algorithm (WOA) Grey Wolf (GWO). This aims realize ...

Abstract Deregulation in power system and increased demand has introduced congestion system. With the depletion of fossil fuels, sector turned towards incorporation Renewable Energy Systems through private generators. This paper focuses on non-cost-free method to mitigate by rescheduling generators for their active output. The is done such a way that cost minimum. presents new merge two tested ...

Abstract Wind power forecasting deals with the prediction of expected generation wind farms in next few minutes, hours, or days. The application machine learning techniques has become great interest due to their superior capability perform regression, classification, and clustering. Support vector regression (SVR) is a powerful suitable tool that been successfully used for forecasting. However,...

Aiming at the shortcomings of Harris hawks optimization algorithm (HHO), such as poor initial population diversity, slow convergence speed, local ability, and easily falling into optimum, a (CCCHHO) integrating multiple mechanisms is proposed. First, diversity enhanced by initialization chaotic method. Second, cosine function used to better simulate characteristics periodic change energy prey i...

Actually, path planning is one of the most crucial aspects mobile robots study. The primary goal this research to develop a solution issues that occur when “mobile robot” operates in static environment. problem handled by finding collision-free meets given criteria for shortest distance with quite smoothness path. Two nature-inspired metaheuristic algorithms are used computation. By leading hyb...

Microgrid control in isolated mode is a highly important subject area. In the present paper, a new method is used for controlling the isolated microgrids. This method was used based on the classification of the microgrids into two groups, namely fast-dynamic (battery and flywheel) and slow-dynamic (diesel generator, electrolyzer, fuel cell). For the microgrid components with fast dynamics, a se...

Abstract The present study is focussed on solving the relay coordination problem. Protection of microgrids performed through placement directional overcurrent relays (DOCR). efficacy microgrid protection depends all DOCRs placed in system. For this purpose, a number optimization techniques have been employed by power system researcher. In paper, Grey Wolf Optimizer (GWO) proposed for different ...

Optimization is a broad field for researchers to develop new algorithms solving various types of problems. There are popular techniques being worked on improvement. Grey wolf optimization (GWO) one such algorithm because it efficient, simple use, and easy implement. However, GWO has several drawbacks as stuck in local optima, low convergence rate, poor exploration. Several attempts have been ma...

To address the problem of insufficient coverage WSN and poor network in obstacle environments, study proposes an improved particle swarm optimization (PSO) combined with a hybrid grey wolf algorithm. The speed position PSO particle's search for superiority are enhanced through guiding nature superior (GWO), thus convergence precision improved. Based on this, applies to wireless sensor networks ...

Under harsh geographical conditions where manned flight is not possible, the ability of unmanned aerial vehicle (UAV) to successfully carry out payload hold–release mission by avoiding obstacles depends on optimal path planning and tracking performance UAV. The UAV plan track with minimum energy time consumption possible using parameters. This study performs optimum Harris hawk optimization (HH...