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    Optimization of community based virtual power plant with embedded storage and renewable generation

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    Publication date
    2016
    Author
    Okpako, O.
    Adamu, P.I.
    Rajamani, Haile S.
    Pillai, Prashant
    Keyword
    Prosumer; Battery; Virtual Power Plant (VPP); Genetic Algorithm (GA); Smart grid, State of charge; Solar generation
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    The current global challenge of climate change has made renewable energy usage very important. There is an ongoing drive for the deployment of renewable energy resource at the domestic level through feed-in tariff, etc. However the intermittent nature of renewable energy has made storage a key priority. In this work, a community having a solar farm with energy storage embedded in the house of the energy consumers is considered. Consumers within the community are aggregated in to a local virtual power plant. Genetic algorithm was used to develop an optimized energy transaction for the virtual power plant. The results shows that it is feasible to have a virtual power plant setup in a local community that involve the use of renewable generation and embedded storage. The result also show that when maximization of battery state of charge is considered as part of an optimization problem in a day ahead market, certain trade-off would have to be made on the profit of the virtual power plant, the incentive of the prosumer, as well as the provision of peak service to the grid.
    URI
    http://hdl.handle.net/10454/11125
    Version
    No full-text in the repository
    Citation
    Okpako O, Adamu PI, Rajamani H-S et al (2016) Optimization of community based virtual power plant with embedded storage and renewable generation. In: 8th EAI International Conference on Wireless and Satellite Systems (WiSATS). 19-20 Sep 2016, Cardiff, Wales.
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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