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Guo, Y., Gong, Y., Fang, Y. and Khargonekar, P.P. (2014) Stochastic Minimization of Imbalance Cost for a Virtual Power Plant in Electricity Markets. Proc. IEEE PES Innov. Smart Grid Technol. Conf. (ISGT), 1-5. http://dx.doi.org/10.1109/isgt.2014.6816372

has been cited by the following article:

• TITLE: Optimal Control and Bidding Strategy of Virtual Power Plant with Renewable Generation

  AUTHORS: Yuchang Kang, Kwoklun Lo

  KEYWORDS: Virtual Power Plant, Electricity Market, Distributed Energy Resources

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.4 No.3D, October 20, 2016

  ABSTRACT: A Virtual Power Plant (VPP), aggregating the capacities of distributed energy resources (DER) as a single profile, provides presence of DERs in the electricity market. In this paper, a stochastic bidding model is proposed for the VPP to optimise the bids in the day-ahead and balancing market, with the objective to maximise its expected economic profit. The performance of proposed strategy has been assessed in a modified commercial VPP (CVPP) system with wind generation installed, and also the results are compared with the ones achieved from other commonly-used strategies to verify its feasibility.