Outputs (7)

A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets (2020)
Journal Article
Hua, W., Jiang, J., Sun, H., & Wu, J. (2020). A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets. Applied Energy, 279, Article 115539. https://doi.org/10.1016/j.apenergy.2020.115539

Prosumers are active participants in future energy systems who produce and consume energy. However, the emerging role of prosumers brings challenges of tracing carbon emissions behaviours and formulating pricing scheme targeting on individual prosump... Read More about A Blockchain Based Peer-to-Peer Trading Framework Integrating Energy and Carbon Markets.

Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling (2019)
Journal Article
Hua, W., Li, D., Sun, H., & Matthews, P. (2020). Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling. IET Smart Grid, 3(1), 31-41. https://doi.org/10.1049/iet-stg.2018.0109

Excessive carbon emissions have posed a threat to sustainable development. An appropriate market-based low carbon policy becomes the essence of regulating strategy for reducing carbon emissions in the energy sector. This study proposes a Stackelberg... Read More about Stackelberg Game-theoretic Model for Low Carbon Energy Market Scheduling.

A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets (2019)
Presentation / Conference Contribution
Hua, W., & Sun, H. (2019, September). A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets. Presented at 2019 International Conference on Smart Energy Systems and Technologies (SEST)., Porto, Portugal

Climate change enforces the integration of distributed renewable energy sources and development of carbon price scheme. Whilst the energy is traded among distributed prosumers, the carbon responsibilities and corresponding allowances trading need to... Read More about A Blockchain-Based Peer-to-Peer Trading Scheme Coupling Energy and Carbon Markets.

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Journal Article
Hua, W., Li, D., Sun, H., Matthews, P., & Meng, F. (2018). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239

In order to alleviate the effects of greenhouse gas emissions, the environmental and economic dispatch (EED) is formulated as multiobjective optimization problem (MOP) solved by multiobjective immune algorithm (MOIA). Building on this model, the virt... Read More about Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets.

Energy Hub Scheduling Method with Voltage Stability Considerations (2018)
Presentation / Conference Contribution
You, M. Y., Hua, W., Shahbazi, M., & Sun, H. (2018, August). Energy Hub Scheduling Method with Voltage Stability Considerations. Presented at The seventh IEEE/CIC International Conference on Communications in China (ICCC 2018)., Beijing, China

Energy Hub is expected to be one of the most effective methods to address the integrated system with multiple energy carriers. In this work, an Energy Hub scheduling method is proposed, which could not only meet various energy load demands but also a... Read More about Energy Hub Scheduling Method with Voltage Stability Considerations.

Multiobjective optimization for carbon market scheduling based on behavior learning (2017)
Presentation / Conference Contribution
Li, D., Hua, W., Sun, H., & Chiu, W.-Y. (2017, December). Multiobjective optimization for carbon market scheduling based on behavior learning

With advances of smart grid, the responsibility of carbon emission reduction can be fairly allocated to each participant in power networks through bidirectional communications. This paper proposes a hierarchical carbon market scheduling model to effe... Read More about Multiobjective optimization for carbon market scheduling based on behavior learning.

Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant (2017)
Presentation / Conference Contribution
Hua, W., Li, D., Sun, H., & Matthews, P. (2017, September). Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant. Presented at 2017 3rd IEEE International Smart Cities Conference (ISC2 2017)., Wuxi, China

This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This... Read More about Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant.