Software development which provides minimum business cost for offices and residences with producer concumers

Our thesis proposal is a software based simulation that focuses on lowering the daily energy costs of nano scale photovoltaic-wind hybrid systems. One of the most effective ways of lowering the costs of a producer-consumer building is to balance the amount of the energy that is consumed and produced by this building continuously. Which is a typical optimization problem and can be solved by a discrete optimization techniques easily. A new algorithm will be developed for thesis. This technique will be used in this software project. By doing so we will try to minimize the cost of daily energy. Through the optimization process different kinds of wind turbines, solar panels, batteries and loads will be used. The values that determines the energy production such as wind speed or solar radiation levels could be accessed via meteorological values that are posted by meteorology centers daily for each hour, by using this value we can calculate the estimated amount of the energy that will be produced by our system so we can determine the amount of the load we can supply with that energy. The power value to be generated every 1 hour on the calendar to be included in the program will be displayed on the software screen. Consumers are informed when unexpected values are saved. In order to balance the production and consumption it is important to load planning and the state of the battery charge state. In order to have an optimal load distribution throught to day it is very important to estimate the wind speed and solar radiation levels for the day, to overcome this problem support vector machines and a similar estimation algorithm are being used. Lastly the goal of this project is to estimate the next days wind speed and solar radiation levels in a hourly basis.