Open AccessEnergy management system, generation and demand predictors: a review
Author(s) -
Rafique Syed Furqan,
Jianhua Zhang
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.0354
Subject(s) - microgrid , diesel generator , renewable energy , demand response , distributed generation , reliability engineering , energy management , environmental economics , smart grid , computer science , wind power , risk analysis (engineering) , engineering , automotive engineering , electricity , business , energy (signal processing) , diesel fuel , economics , electrical engineering , statistics , mathematics
A microgrid can integrate distributed energy resources for satisfying load demand, moreover, solve reliability, safety and environment issues. Spinning reserves in microgrid such as battery, gas and diesel generator can provide support for more sustainable operation in distributed networks. Critical loads for microgrid are crucial for the system to support at any cost, whereas, a non‐critical loads can be rescheduled based on the status of supply and demand mechanism. Microgrid is perfect for renewable energy integration, such as wind and solar, thus, it eliminates intermittency issues of these sources with proper operation and control strategy. In short, a proper secondary control is the key to achieve economic benefits from microgrid. Microgrid is also used to generate profit by sending excess power to the main grid via net metering approach and makes traditional consumer of power into producer at the same time. This study will provide insights into state‐of‐the‐art energy management as well as generation/consumption prediction issues, practices and research status. This review study will embark the deep foundation to study the energy management or prediction related study for microgrids.