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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 optimization 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 an interval-based optimization in this study. The static and real-time 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. International journal of smart grid and clean energy, 7(4), 231-239. https://doi.org/10.12720/sgce.7.4.231-239

Journal Article Type Article
Acceptance Date Sep 24, 2018
Online Publication Date Sep 29, 2018
Publication Date Oct 31, 2018
Deposit Date Oct 10, 2018
Publicly Available Date Oct 11, 2018
Journal International journal of smart grid and clean energy
Print ISSN 2315-4462
Electronic ISSN 2373-3594
Publisher SGCE
Peer Reviewed Peer Reviewed
Volume 7
Issue 4
Pages 231-239
DOI https://doi.org/10.12720/sgce.7.4.231-239
Public URL https://durham-repository.worktribe.com/output/1312260

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