Energy Management System for Hybrid Energy System: Renewable Integration, Modeling and Optimization, Control Aspects and Conceptual Framework

Abstract

In developing Countries like India, the interest of energy has been expanding surprisingly because of the speculation of the agricultural, modern just as residence exercises. The rising an Earth-wide temperature boost marvels and an expansion in the consumption of petroleum derivatives has been the most crucial main thrust towards the thoughtfulness regarding misuse of Renewable Energy Sources. Alongside different favorable circumstances of these sources, there comes a heap of complexities connected to them because of their irregular and variable nature. Consequently, to maintain a strategic distance from these vulnerabilities it is important to give these assets appropriate planning and proper energy management. This work here a detailed study of different optimization techniques which can be applied to the renewable energy resources including the multi-agent solution as well as the Artificial Intelligence and Micro-grid controller which can offer a clear vision for the researchers in this field. Certain recommendations considering the challenges in renewable energy (RE) development are also been provided. In the proposed framework, the smart grid is optimized by the use of different optimization methods.

Demand side management and size optimization for an integrated renewable energy system considering deferrable loads

“…The usage of different RESs is beneficial in overcoming the disadvantages of single technology systems and are helpful in increasing the power reliability, thereby reducing the cost of system and also total energy storage. [2][3][4][5][6][7][8][9][10][11] Different optimization techniques like the dynamic programmingbased energy management, bi-level programming-based energy management, ANN-based, etc., are available and have been studied in the literature. In the present work, we have used a mixed-integer programming-based approach.…”