Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
https://orcid.org/0000-0003-4101-3820
https://orcid.org/0000-0002-1536-5956
https://orcid.org/0000-0002-2688-046X
https://orcid.org/0000-0001-5136-8276
Graphical abstract Display Omitted
Highlights Diverse peers with a PV or PV-BESS are considered in P2P energy trading. Different electricity market types, tariff systems and pricing models are examined. Empirical electric load profile is established in summer and winter. Technical performance assessment indicates higher SCR and SSR with PV-BESS. Economic performance assessment indicates higher electricity bill saving under ToU.
Abstract This study investigated the peer-to-peer (P2P) trading price and strategy based on market-driven methods within a residential microgrid consists of two prosumers (i.e., P1 and P2) and one consumer (i.e., C1), which establishes a diverse microgrid trading market in terms of peer characteristics (e.g., system configurations and electrical load profile). Five cases are proposed in this study considering different electricity market types (i.e., peer-to-grid and P2P markets), retail tariff systems (i.e., progressive and time-of-use (ToU) tariff systems) as well as market-driven P2P trading pricing models (i.e., uniform and individual pricing models). Peer electrical load data are collected from three typical four-person households in Hong Kong along with their domestic electrical appliance utilization pattern. The results indicate that the individual pricing model has led to the dynamics of P2P electricity trading price than the uniform pricing model, and P2P trading is more economically efficient under the ToU tariff system. The maximum electricity bill saving of the entire microgrid can be achieved by 31.33% in summer and by 43.02% in winter. Besides, it is observed that the installation of battery energy storage system (BESS) has facilitated the self-consumption ratio of the renewable energy system to 91.98% in summer and 100% in winter. This implies that the BESS plays a pivotal role in improving the flexibility in managing the P2P trading strategy, and enhancing the efficiency in electricity dispatching within the microgrid. This study contributes to the novelty in science since it provides a comprehensive framework that can adapt to changing market conditions.
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
https://orcid.org/0000-0003-4101-3820
https://orcid.org/0000-0002-1536-5956
https://orcid.org/0000-0002-2688-046X
https://orcid.org/0000-0001-5136-8276
Graphical abstract Display Omitted
Highlights Diverse peers with a PV or PV-BESS are considered in P2P energy trading. Different electricity market types, tariff systems and pricing models are examined. Empirical electric load profile is established in summer and winter. Technical performance assessment indicates higher SCR and SSR with PV-BESS. Economic performance assessment indicates higher electricity bill saving under ToU.
Abstract This study investigated the peer-to-peer (P2P) trading price and strategy based on market-driven methods within a residential microgrid consists of two prosumers (i.e., P1 and P2) and one consumer (i.e., C1), which establishes a diverse microgrid trading market in terms of peer characteristics (e.g., system configurations and electrical load profile). Five cases are proposed in this study considering different electricity market types (i.e., peer-to-grid and P2P markets), retail tariff systems (i.e., progressive and time-of-use (ToU) tariff systems) as well as market-driven P2P trading pricing models (i.e., uniform and individual pricing models). Peer electrical load data are collected from three typical four-person households in Hong Kong along with their domestic electrical appliance utilization pattern. The results indicate that the individual pricing model has led to the dynamics of P2P electricity trading price than the uniform pricing model, and P2P trading is more economically efficient under the ToU tariff system. The maximum electricity bill saving of the entire microgrid can be achieved by 31.33% in summer and by 43.02% in winter. Besides, it is observed that the installation of battery energy storage system (BESS) has facilitated the self-consumption ratio of the renewable energy system to 91.98% in summer and 100% in winter. This implies that the BESS plays a pivotal role in improving the flexibility in managing the P2P trading strategy, and enhancing the efficiency in electricity dispatching within the microgrid. This study contributes to the novelty in science since it provides a comprehensive framework that can adapt to changing market conditions.
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
https://orcid.org/0000-0003-4101-3820
https://orcid.org/0000-0002-1536-5956
https://orcid.org/0000-0002-2688-046X
https://orcid.org/0000-0001-5136-8276
Graphical abstract Display Omitted
Highlights Diverse peers with a PV or PV-BESS are considered in P2P energy trading. Different electricity market types, tariff systems and pricing models are examined. Empirical electric load profile is established in summer and winter. Technical performance assessment indicates higher SCR and SSR with PV-BESS. Economic performance assessment indicates higher electricity bill saving under ToU.
Abstract This study investigated the peer-to-peer (P2P) trading price and strategy based on market-driven methods within a residential microgrid consists of two prosumers (i.e., P1 and P2) and one consumer (i.e., C1), which establishes a diverse microgrid trading market in terms of peer characteristics (e.g., system configurations and electrical load profile). Five cases are proposed in this study considering different electricity market types (i.e., peer-to-grid and P2P markets), retail tariff systems (i.e., progressive and time-of-use (ToU) tariff systems) as well as market-driven P2P trading pricing models (i.e., uniform and individual pricing models). Peer electrical load data are collected from three typical four-person households in Hong Kong along with their domestic electrical appliance utilization pattern. The results indicate that the individual pricing model has led to the dynamics of P2P electricity trading price than the uniform pricing model, and P2P trading is more economically efficient under the ToU tariff system. The maximum electricity bill saving of the entire microgrid can be achieved by 31.33% in summer and by 43.02% in winter. Besides, it is observed that the installation of battery energy storage system (BESS) has facilitated the self-consumption ratio of the renewable energy system to 91.98% in summer and 100% in winter. This implies that the BESS plays a pivotal role in improving the flexibility in managing the P2P trading strategy, and enhancing the efficiency in electricity dispatching within the microgrid. This study contributes to the novelty in science since it provides a comprehensive framework that can adapt to changing market conditions.
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
Zhang, Ruixiaoxiao (Autor:in) / Lee, Minhyun (Autor:in) / Zhao, Dongqi (Autor:in) / Kang, Hyuna (Autor:in) / Hong, Taehoon (Autor:in)
Energy and Buildings ; 300
13.10.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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