<span>Due to the great level of wind energy penetration in existing network, huge efforts have been directed enhance grid-connected generator performance. This paper shows an application a hybrid algorithm particle swarm optimization and gravitational search (PSO-GSA) transient stability grid-tied conversion system. The variable-speed turbine (VSWT) direct-drive permanent-magnet synchrono...

The existing Maximum Power Point Tracking (MPPT) method has low tracking efficiency and poor stability. It is easy to fall into the Local (LMPP) in Partial Shading Condition (PSC), resulting degradation of output power quality efficiency. was found that various bio-inspired MPPT based optimization algorithms employ different mechanisms, their performance Global (GMPP) varies. Thus, a Cuckoo sea...

The development of the more increasing power electronics allows the use of FACTS devices to manage and improve either the flow of power or the stability of the power system. One type of FACTS device studied is the SVC. In this study, optimization of SVC is used to determine the most appropriate location and rating in order to obtain the optimum power transfer. Optimization methods used in this ...

Demand and frequency deviation is gaining more popularity in power system research especially with multiple systems interconnections operations as a result of the complexity network, network upgrade renewable energy sources integration. However, stability respect to momentarily fault Load Frequency Control (LFC) models, terms time taken for settle, magnitude overshoot Steady-State Error (SSE) m...

one of the major problems that may occur in the differential protection systems of power transformers is mal-operation of the protection relays in sake of internal fault detection, because of similarity between this current and inrush current. this paper presents a novel approach for discriminating inrush current from internal fault in power transformers based on improved gravitational search a...

Large-scale Wireless Sensor Networks (WSN) is the focus of recent research and development efforts. Due to their benefits in monitoring physical environments, WSN find diverse applications from military usage to agriculture and scientific works. To maximize WSN’s network life, data transfer paths are selected so that total energy consumed on the path is minimal. To ensure high scalability and i...

Finding the suitable solution to optimization problems is a fundamental challenge in various sciences. Optimization algorithms are one of effective stochastic methods solving problems. In this paper, new algorithm called Search Step Adjustment Based Algorithm (SSABA) presented provide quasi-optimal solutions initial iterations algorithm, step index set highest value for comprehensive search spa...

The performance of a typical solar energy-based system can be improved by accurately modeling the current versus voltage characteristics involved cells. However, estimating exact value parameters related to cells is quite challenging. optimization function, considering current–voltage cells, requires solution sophisticated non-linear and multi-modal methods. So far, various approaches have been...

Electricity demand forecasting plays an important role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate prediction of electricity demands is therefore vital. In this study, artificial neural networks (ANNs) trained by different heuristic algorithms, including Gravitational Search Algorithm (GSA) and Cuckoo Optimization Algorithm (COA), are utilized to ...

Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in suitable time. In flexible jobshop scheduling production systems, we could reduce time and costs by transferring and delivering operations on e...