The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Reducing carbon emissions has accelerated the use of various renewable resources for electricity generation. Wind generation, in this context has seen increasing installations globally. Managing the intermittency of wind towards existing power system operation and control therefore becomes crucial. One effective solution is to predict the future values of wind power production. This paper focuses...
This paper presents solar irradiance forecasting in Mae Sariang, Mae Hongson Province, Thailand which has a solar power plant. This solar power plan is a photovoltaic (PV) with capacity power output at 4 MW. However, the adoption of solar irradiance as a power source on a global scale has not been uniform, due to by meteorological conditions, which cause the fluctuations and inconsistencies in PV...
The owners of PV systems and EV charging station are probably different. Combining PV systems with EV charging station can contribute to more benefit, according to previous research, but also lead to some problem. In order to solve the problem of energy management and profit distribution, a multi-party energy management for EV charging station cooperated with PV systems in smart grid is proposed....
Renewable energy resources such as wind power generators are important alternatives in electric power systems considering their congenial environmental effects. Short-term wind speed forecasting have a huge impact on the load variation decisions and economic load dispatch in the wind-integrated power systems. Wind power is intermittent and is sometimes non-dispatchable because of its dependency on...
The number of autonomous microgrids (MGs) which are difficult to connect with the main gird is increasing, especially for those on islands or isolated areas. It is helpful to optimize the operation and utilization of resource in different space and time by interconnecting nearby MGs together. A method of jointly optimization and distributed control for interconnected operation of autonomous MGs is...
In recent years, rapid growth of the wind power all around the world highlights the requirement of developing accurate wind power forecasting method. Since the wind power generation mainly relies on wind speed and wind turbine condition, a novel wind power forecasting strategy considering wind turbine condition is proposed in this paper. The proposed strategy which can predict several-hours-ahead...
This paper aims to forecast the photovoltaic power, which is an important and challenging function of energy management system for grid planning, scheduling, maintenance and improving stability. Forecasting of photovoltaic power using Artificial Neural Network (ANN) is the main focus of this paper. The training algorithm used for ANN is Extreme Learning Machine (ELM). Accurate forecast of Renewable...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.