This paper presents a new hybrid method for the short-term load forecasting in electric power systems based on particle swarm optimization (PSO) and relevance vector machine (RVM). In this method, we firstly develop a type of kernel as the kernel function of the RVM model, and then its parameter is optimized by the PSO, finally the established RVM forecast mode is applied to short-term load for...

Local renewable resources such as wind and solar are often available in remote locations. Wind farms consist of many individual wind turbines which are connected to the electric power transm­iss­i­o­n ne­tw­o­r­k­. A wind farm can use the wind resources from a certain area efficiently. Double-fed induction generator (DFIG) is a gene­rating principle widely used in wind turbine (WT). DFIG are ab...

Recently, Inner permanent magnet (IPM) synchronous machines have been introduced as a possible traction motor in hybrid electric vehicle (HEV) and traction applications due to their unique merits. In order to achieve maximum torque per ampere (MTPA), optimization of the motor geometry parameters is necessary. This paper Presents a design method to achieve minimum volume, MTPA and minimum ...

Wire electric discharge machine (WEDM) is spark erosion in unconventional machining technique to cut hard and the conductive material with a wire as an electrode. The blanking die material SKD 11 is a high carbon and high chromium tool steel with high hardness and high wearing resistance property. This tool steel has broad application in press tools and dies making industries. In this research ...

many studies have been done on hybrid vehicles in the past few years. the full hybrid vehicles need a large number of batteries creating up to 300 (v) to meet the required voltage of electric motor. the size and weight of the batteries cause some problems. this research investigates the mild hybrid vehicle. this vehicle includes a small electric motor and a high power internal combustion engine...

Plug-in hybrid electric vehicles (PHEVs) have demonstrated the potential to significantly increase fuel economy. However, the overall efficiency of the powertrain system of any Hybrid Electric Vehicle (HEV) depends on the vehicle-level control strategy. To optimize the energy flow, a global optimization algorithm, based on the Bellman principle, was used to generate the most efficient operating...

Hybrid Electric Vehicles (HEVs) are driven by two energy convertors, i.e., an Internal Combustion (IC) engine and an electric machine. To make powertrain of HEV as efficient as possible, proper management of the energy elements is essential. This task is completed by HEV controller, which splits power between the IC engine and Electric Motor (EM). In this paper, a Genetic-Fuzzy control strategy...