Peik-Herfeh, M., Seifi, H. and Sheikh-El-Eslami, M. (2013) Decision Making of a Virtual Power Plant under Uncertainties for Bidding in a Day-Ahead Market Using Point Estimate Method. Int. J. Elect. Power Energy Syst., 44, 88-98. http://dx.doi.org/10.1016/j.ijepes.2012.07.016

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.