In the modern world, there is an increase in energy consumption associated with population growth, acceleration of industrial production and the development of technology. The heterogeneous distribution of fossil fuels, which constitute the source of conventional systems that are used effectively in the field of energy production, and the decrease of the predicted lifetimes of the reserves, have led to the search for alternative sources. To keep in the balance of the increasing consumption profile, important steps have been taken regarding the integration of renewable energy systems into the network, and new mechanisms such as the management of the demand side, which is one of the most effective applications of the smart grid concept, have become necessary. Equilibration energy production and consumption has great importance in terms of proper operation of the network and due to its nature, the increase in the share of renewable energy systems with variable power generation profile in the production field paves the way for adding new studies to the literature, especially in terms of energy management systems and energy efficiency. In this study; consumption profile consisting of flexible loads whose thermostat can be controlled together with critical loads of a smart home has been taken into consideration. The energy management system has been developed for the smart home model that uses the solar collector and the electric water heater(EWH). In controlling the power demand of the air conditioner (AC) and EWH, it was ensured that the indoor and boiler water temperatures were kept within certain value ranges by paying attention to the user comfort constraints. It is one of the most important features of the study to be careful not to exceed the comfort limits of the user while applying the Demand Response Program (DRP). The minimizing the cost of electricity consumption of the smart house is determined as the purpose function in the developed model and the results have been evaluated in detail with an optimization-based approach. The mathematical formulation obtained by the mixed-integer linear programming(MILP) method was simulated in the PuLP 1.6.8 open source library of the Python 2.7 version using the CPLEX commercial optimization solver.
|Thanks||Teknik desteklerinden ötürü Nur Betül Yaman’a ve kreatif iconlarını çalışmamıza eklediğimiz takma isimleri DinosoftLabs, Freepik, Icongeek26, Smalllikeart ve Smashicons olan yazarlara teşekkür ederiz.|
Publication Date : August 31, 2020
|APA||Sancar, S , Erenoğlu, A , Şengör, İ , Erdi̇nç, O . (2020). Güneş Kollektörlü ve Elektrikli Şofbenli Bir Akıllı Evin Talep Cevabı Programı Kapsamında Enerji Yönetimi . Avrupa Bilim ve Teknoloji Dergisi , (19) , 92-104 . DOI: 10.31590/ejosat.695784|