Energy storage in the future smart grid. An investigation of pricing strategies and dynamic load levelling for efficient integration of domestic energy storage within a virtual power plant and its evaluation using a genetic algorithm optimization platform

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PhD Thesis (7.782Mb)
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Publication date
2019Author
Okpako, OghenovoSupervisor
Rajamani, Haile S.Abd-Alhameed, Raed A.
Keyword
Battery storageVirtual power plant
Prosumers
Smart grid
State of charge
Pricing
Stakeholders
Genetic algorithm
Demand side management
Cumulative performance index
Rights

The University of Bradford theses are licenced under a Creative Commons Licence.
Institution
University of BradfordDepartment
School of Engineering and InformaticsAwarded
2019