EMaaS: Cloud-Based Energy Management Service for Distributed Renewable Energy Integration

• Published in: IEEE transactions on smart grid Vol. 6; no. 6; pp. 2816 - 2824
• Main Authors: Yu-Wen Chen, Chang, J. Morris
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.11.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cloud computing; distributed renewable resource; Electric utilities; Energy management; energy management as a service (EMaaS); green community; Linear programming; linear programming (LP); renewable energy integration; Renewable energy sources; Renewable resources; virtual retail electricity provider; virtual retail electricity provider; Cloud computing; distributed renewable resource; green community; renewable energy integration; energy management as a service (EMaaS); linear programming (LP)
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2015.2446980

The increasing penetration of renewable energy has become a critical issue in recent years. The future power system is foreseen to depend on distributed energy resource (DER) excessively for continuous load support. Yet, DER providers are also facing limited choices in their produced renewable energy. Massive information and complicated cooperation emerging from involvers intensify issues in terms of efficiency, reliability, and scalability. In this paper, a cloud-based framework is proposed to provide a customer-oriented energy management as a service (EMaaS) for green communities, which are formed as virtual retail electricity providers (REPs) by involved DERs providers. It can be adopted by existing REPs or utilities. For each green community, the multiperiod global cost is minimized to promote renewable energy, and renewable energy consumption is stabilized to enhance integration. A solvable linear programming model is formulated for EMaaS. The case studies results reveal the proposed EMaaS retains satisfactory performances.