Two Stage Deep Peak Regulation Ancillary Service Market Clearing Model Considering Virtual Power Plant

Abstract

Renewable energy such as wind power and photovoltaics integrated to the power grid have brought challenges to deep peak regulation. In order to address the deep peak regulation problem, virtual power plants (VPP) are proposed to provide with deep peak regulation ancillary service. This paper designs the deep peak regulation ancillary service market mechanism considering participation of VPPs. The thermal power units and VPPs are proposed to participate jointly in the deep peak regulation ancillary service market. Two stage deep peak regulation ancillary service market clearing model are established, the day-ahead clearing model and the real-time clearing model. The deep peak regulation ancillary service market adopts the marginal clearing method. The thermal power units and VPPs can obtain profits by actual deep peak regulation capacity and clearing price. Finally, the case analysis show that the proposed market mechanism is effective and the economy of deep peak regulation is significantly improved.