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Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets

Hua, Weiqi; Li, Dan; Sun, Hongjian; Matthews, Peter; Meng, Fanlin

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Authors

Weiqi Hua

Dan Li

Fanlin Meng



Abstract

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 plant (VPP) is proposed involving distributed generation (DG), interruptible load (IL), and energy storage (ES) to participate in joint energy and reserve markets. The uncertainties of load prediction, DG, and IL are treated as interval-based optimization in this study. The static and realtime simulations are conducted to demonstrate the validity of proposed stochastic EED model through the IEEE 30-bus test system.

Citation

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)

Conference Name 2nd International Conference on Power and Renewable Energy
Conference Location Chengdu, China
Start Date Sep 20, 2017
End Date Sep 23, 2017
Acceptance Date Jul 10, 2017
Publication Date Oct 1, 2018
Deposit Date Jul 28, 2017
Publicly Available Date Jul 28, 2017
Pages 654-658
Book Title 2nd International Conference on Power and Renewable Energy (ICPRE 2017) : Chengdu, China, September 20-23, 2017 ; proceedings.
Publisher URL http://www.icpre.org/icpre2017.html

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