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https://hdl.handle.net/10216/132794| Author(s): | Miguel Rodrigues Castro Chousal |
| Title: | Renewable Energy Trading Using Peer-to-Peer Business Models |
| Issue Date: | 2020-07-21 |
| Abstract: | O aparecimento de consumidores mais proativos, vulgarmente designados por prosumers, está a capacitar os consumidores e a trazer novas oportunidades e desafios para a operação de sistemas de energia no âmbito do desenvolvimento dos mercados de electricidade. Recentemente, o conceito peer-to-peer (P2P) permite aos prosumers acima referidos partilhar diretamente a sua energia eléctrica e de assim justificarem e recuperarem mais rapidamente custos de investimento. Esses mercados P2P dão aos consumidores a oportunidade de escolher livremente a quem comprar energia elétrica. Uma comunidade também pode ser criada por prosumers que queiram colaborar uns com os outros. Este projeto pretende comprovar o conceito destes novos mercados P2P (full P2P, community P2P e Hybrid P2P). Inicialmente, foi criada e analisada uma rede teste sem qualquer modelo P2P. Posteriormente, os modelos P2P mencionados são avaliados individualmente em Python 3 e utilizando o otimizador Gurobi, a fim de determinar qual deles é o mais vantajoso. |
| Description: | The appearance of more proactive consumers, the commonly termed prosumers, is empowering the consumers and bringing new opportunities and challenges to the operation of power systems in a market environment. Recently, the so-called peer-to-peer (P2P) electricity markets conceptually allows the aforementioned prosumers to directly share their electricity contributing to more rapidly recover investment costs. Such P2P markets give the opportunity to consumers to freely choose who to buy electricity from. A community can also be created by prosumers who want to collaborate with each other. According to these ideas, this project focus on proving the concept of these new P2P markets (full P2P, Community P2P, Hybrid P2P). In order to achieve this goal, initially, a test grid is created and analysed without any P2P transactions. Subsequently, the mentioned P2P models are individually evaluated on Python 3 with Gurobi Optimizer, in order to determine which of them is the most advantageous. |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/wt12-we96 |
| TID identifier: | 202593592 |
| URI: | https://hdl.handle.net/10216/132794 |
| Document Type: | Dissertação |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 411128.pdf | Renewable Energy Trading Using Peer-to-Peer Business Models | 4.44 MB | Adobe PDF |  View/Open |
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