Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets (2018)
Conference Proceeding
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. In 2nd International Conference on Power and Renewable Energy (ICPRE 2017) : Chengdu, China, September 20-23, 2017 ; proceedings (654-658)

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

Multiobjective optimization for carbon market scheduling based on behavior learning (2017)
Conference Proceeding
Li, D., Hua, W., Sun, H., & Chiu, W. (2017). Multiobjective optimization for carbon market scheduling based on behavior learning. . https://doi.org/10.1016/j.egypro.2017.12.581

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.