The paper presents the advanced management system of the wind energy conversion with a variable speed wind turbine. Permanent-magnet synchronous generators (PMSG) are used extensively in wind turbine purposes. The efficiency evaluation of PMSG might be enhanced by adopting various management mechanisms with the advantage of advanced ANN techniques. Renewable energy is harnessed from constantly replenishing natural processes. The concentrate on renewable power has over the previous few many years intensified tremendously. This paper response of the developed Liebenberg based Artificial Intelligence Technique based MPPT algorithms for wind system with multilevel converter interfaced PMSG based wind energy conversion system. The PMSG is used as a variable speed generator and related on to the turbine without gearbox.Keywords: Wind turbine, PMSG generator, MPPT control, pitch control.
Growing concerns about global warming have been sparked by the rise in the emission rate of greenhouse gases, which is mostly brought on by the transportation industry. Additionally, cost of fuels based on gasoline and diesel is rising daily. Due to this, the transportation sector must adopt hybrid and plug-in hybrid vehicles. The vehicle battery needs to be charged frequently because its range is not very great. The charging method that must be used to recharge the batteries in electric vehicles must be effective, quick, and inexpensive. Electric vehicles require between 60 and 80 minutes to recharge their battery compared to conventional gasoline vehicles, which can be refuelled in 2 to 5 minutes or less. A hybrid electric vehicle consists of two or more energy sources with energy management and power management for the better fuel economy. The main scheme of the energy management strategy (EMS) is to split energy between the sources to reduce fuel consumptionKeywords: Electric Vehicle, Supercapacitor, Battery, Converter, Fuel cell, Genetic Algorithm, Adaptive equivalent fuel consumption minimization, Energy Management Strategy.
The field of renewable energy offers answers to emerging nations' problems with sustainable energy. The electricity constraint in India is being addressed by the adoption of various renewable energy options. The market is promising for domestic organisations, distribution networks, and transmission networks, but the financial position is slow and considerable despite the recent significant growth in power generation. India has an installed capacity for wind power of 230,000 kilowatts and 450,000 kilowatts of hydroelectric power, however it has little to no potential for renewable energy. Although India presently occupies a strong position in this area, the goal is to increase installed renewable energy capacity from 37 GW to 1.75 million kilowatts by 2022 (excluding major hydropower). A significant component of the government's extension strategy is solar energy. For geography and structure, the solar PV system demonstration is quite beneficial. We require efficient design and forecasting tools for an efficient structure. A common tool for planning and optimising the design and construction of standalone photovoltaic solar systems that are connected to the grid is the PV system.
The goal of this research is to provide the comparable design model of a solar photovoltaic power plant and to analyse the influence of power forecasting on solar photovoltaic system performance evaluation. PV and IV features of solar photovoltaic systems have been used to create the mathematical model of solar photovoltaic systems and analyse performance. For the best forecasting in the given situation of complex operating conditions, a modified prediction technique was put into place.Keywords: PV Power, PV Curve, PV Power, Renewable Energy, IV Curve.