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Peer to Peer energy trading considering electrical network constraints

Symiakakis Matthaios

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Summary

Recent technological advances in telecommunication, informatics and data processing technologies have started to reshape the face of Electrical Power Systems as we know them in order to keep up with the ever-increasing electricity demand and higher efficiency and sustainability standards. The increasing electric power generation that starts to appear in demand-side in conjunction with the deteriorating resilience of the traditional Power Grid call for new approaches that will enable and facilitate such concepts. The most widespread of these approaches is considered to be the Smart-Grid technology and its applications.In this work, we try to investigate technologies that surround the concept of Smart-Grids and Distributed Generation in order to tackle the aforementioned problems through a hierarchical Agent-Based Electricity Trading model that focuses on the residential and commercial sectors while integrating large-scale demand-side renewable generation and electric energy storage. The proposed model aims, while taking into consideration the stressed parts of the Grid and satisfying network constraints such as line capacity, load and generation restrictions, to enable end-users to lower their cost for electricity and in some cases even generate profit through trading in multi-layered electricity markets. Lastly, a simulation of a realistic case study is carried out, through the comparison of a traditionally operated Electrical Power System to a hybrid Electrical Power System that utilizes the proposed electricity market model.

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