With the rapidly increasing demand for carbon reduction and need for the realization of a sustainable society many countries have actively promoted the installation of renewable energy sources especially for end users However the integration of large-scale renewable energy sources may result in significant challenges for the present power system In order to encourage end users to change from consumers to prosumers and to reduce the impact of large-scale integration regional energy trading markets have become an important component in the future power grid In this thesis it shortens the computation time by using a supply function bidding framework This framework is different from the single price/quantity bidding described in previous research The single price/quantity bidding framework is typically supported by game theory which is time-consuming and difficult to converge Blockchain technology which has the advantages of being decentralized and incorruptible is used to overcome the security problem in previous research By using the blockchain technology the transaction process becomes more secure and can be conducted in real-time Various categories of prosumers are considered e g photovoltaic (PV) energy storage system (ESS) and electric vehicle (EV) prosumers After considering curtailment willingness of PV prosumers and the degradation cost incurred by ESS and EV prosumers we discuss the optimal scheduling of prosumers and the optimal revenue of a microgrid aggregator Real data were used in our case studies to simulate the feasibility of the proposed mechanism We also compare the optimal results and the computation time with an existing method employing a Stackelberg game Simulation results show that the framework used in this study is more efficient
Date of Award | 2020 |
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Original language | English |
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Supervisor | Hong-Tzer Yang (Supervisor) |
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Blockchain-based Real-time Energy-trading Mechanism in a Microgrid
宣榕, 陳. (Author). 2020
Student thesis: Doctoral Thesis