The converter is an important component of a wind turbine, and its control system has significant impact on the dynamic output characteristics turbine. For double-fed induction generator (DFIG) converter, parameter identification method proposed. In this paper, detailed model DFIG with built, trajectory sensitivity used to study observation points that are sensitive change parameters as quantit...

This work deals with metaheuristic optimization algorithms to derive the best parameters for Gaussian Adaptive PID controller. controller represents a multimodal problem, where several distinct solutions can achieve similar performances, and metaheuristics behave differently during process. Finding correct proportionality between is an arduous task that often does not have algebraic solution. T...

Abstract The paper proposes a modified & optimized controller for PV-integrated grid-connected PV systems. As the solar power output depends on environmental conditions, i.e., irradiation and atmospheric temperature, maximum from photovoltaic (PV) module is extracted using perturb observe (P O) algorithm. With variety of controllers, such as conventional proportional integral (PI) particle ...

Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...

To realize the self-healing concept of smart grids, an accurate and reliable fault locator is a prerequisite. This paper presents a new fault location method for active power distribution networks which is based on measured voltage sag and use of whale optimization algorithm (WOA). The fault induced voltage sag depends on the fault location and resistance. Therefore, the fault location can be f...

The proposed work is an attempt to investigate the stability of nonlinear system by using a whale optimization algorithm as one meta-heuristic methods, and this investigation was conducted on single inverted pendulum study model. evaluation measures which were used in article values gain sliding surface conventional mode controller illustrate extent system`s stability. Furthermore, control acti...

Whale-fall communities support a deep-sea invertebrate assemblage that subsists entirely on the decaying carcasses of large cetaceans. The oldest whale-falls are Late Eocene in age, but these early whale-falls differ in faunal content and host cetacean size from Neogene and Recent whale-falls. Vesicomyid bivalves, for example, are major components of the sulphophilic stage in Miocene and Recent...

Whale optimization algorithm (WOA) is an emerging nature-inspired, swarm-intelligence based to solve problems more efficiently. This on the bubble-net hunting strategy of humpback whales. It has gained immense popularity among researchers, typically, due its simple nature, fast convergence, and having minimum parameters. In recent past, it been widely adopted in various fields including data mi...