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

Author(s): Weiqi Hua, Dan Li, Hongjian Sun, Peter Matthews, Fanlin Meng
Department of Engineering, Durham University, DH1 3LE, U.K.
International Journal of Smart Grid and Clean Energy, vol. 7, no. 4, October 2018: pp. 231-239
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.7.4.231-239

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.

Keywords: Environmental and economic dispatch (EED); virtual power plant (VPP); distributed generation (DG)
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