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.
In this paper, we propose a method that uses model predictive control (MPC) to predict photovoltaic (PV) power generation, plan for the electricity demand in a building using the predicted value, and apply it online to correct the prediction error. First, we construct the regression model using a PV experimental unit and past data obtained from the Meteorological Agency. Next, we predict the PV power...
In this paper, we design an architecture of Energy Management Systems (EMS) for resilient operation of microgrids and describe autonomous mechanisms that dynamically enable 1) enhancement for scalability, 2) system modification and upgrade, and 3) failure detection and recovery. Designing the resilient architecture and achieving autonomous mechanisms are of critical importance for a system operator...
The development of smart grid, electric vehicles (EV), and integration of renewable energy sources (RES) changes the existing power grid. Volt-VAR optimization (VVO) is a well-known problem to reduce the losses along the distribution lines. Current VVO does not endorse the role of elastic and inelastic loads, EVs, and RESs to decrease the reactive losses and hence the cost of generation. We propose...
It is challenging to process real-time data analysis and prediction for a smart grid in a building with consideration of both occupant profile and energy profile. This paper proposed a distributed and networked machine learning platform on smart gateways based smart grid. It can analyze occupants motion, provide short-term energy forecasting and allocate renewable energy resource. Firstly, occupant...
In this paper, we propose a solution to an AC state estimation problem in electric power systems using a fully distributed Gauss-Newton method. The proposed method is placed within the context of factor graphs and belief propagation algorithms and closed-form expressions for belief propagation messages exchanged along the factor graph are derived. The obtained algorithm provides the same solution...
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.