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Smart grid as a service: a discussion on design issues
Hung-Lin Chao1, Chen-Chou Tsai1, Pao-Ann Hsiung1
1Department of Computer Science and Information Engineering, National Chung Cheng University, No. 168 University Road, Min-Hsiung Township, Chiayi County 62102, Taiwan.
This study introduces Smart Grid as a Service (SGaaS) to enhance smart grid flexibility and scalability. SGaaS enables adaptable power management by composing services for diverse user needs, improving efficiency and sustainability.
Area of Science:
- Electrical Engineering
- Computer Science
- Environmental Science
Background:
- Smart grids integrate renewable energy to reduce costs and pollution.
- Current smart grids lack flexibility, scalability, and adaptability.
- Intelligent matching of power generators and loads is crucial.
Purpose of the Study:
- Propose Smart Grid as a Service (SGaaS) for enhanced smart grid functionality.
- Address service-level agreements and service composition within SGaaS.
- Provide implementation details for SGaaS using a multiagent system.
Main Methods:
- Developed a service-oriented architecture for smart grids.
- Defined mechanisms for service-level agreements and composition.
- Utilized a FIPA-compliant JADE multiagent system for implementation.
Main Results:
- SGaaS offers a flexible, scalable, and adaptive smart grid structure.
- Users can select services based on specific requirements.
- Demonstrated feasibility through a JADE-based multiagent system implementation.
Conclusions:
- SGaaS significantly improves smart grid adaptability and user-centricity.
- The proposed framework facilitates efficient integration of distributed energy resources.
- SGaaS provides a robust solution for future smart grid development.
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