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

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. (2017, September). Stochastic environmental and economic dispatch of power systems with virtual power plant in energy and reserve markets. Presented at 2nd International Conference on Power and Renewable Energy, Chengdu, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2nd International Conference on Power and Renewable Energy
• 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.
• Public URL: https://durham-repository.worktribe.com/output/1146644
• Publisher URL: http://www.icpre.org/icpre2017.html