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

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 energ...

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Published inIEEE transactions on smart grid Vol. 6; no. 6; pp. 2816 - 2824
Main Authors Yu-Wen Chen, Chang, J. Morris
Format Journal Article
LanguageEnglish
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)
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Abstract 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.
AbstractList 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.
Author Yu-Wen Chen
Chang, J. Morris
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Keywords virtual retail electricity provider
Cloud computing
distributed renewable resource
green community
renewable energy integration
energy management as a service (EMaaS)
linear programming (LP)
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SubjectTerms 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
Title EMaaS: Cloud-Based Energy Management Service for Distributed Renewable Energy Integration
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