ABSTRACT The large‐scale integration of volatile and intermittent new energy sources into the grid causes instability and increasing peak‐valley power fluctuations and demand response. To address these issues, this paper presents an optimal bidding strategy for the Electricity‐Hydrogen Coupling Virtual Power Plant (EH‐VPP) in demand response and peak regulation services. Firstly, feasible region models of the adjustable power space for various heterogeneous resources in EH‐VPP are established. By considering the time‐varying energy and power characteristics of resources like energy storage systems (ESSs), electric vehicles (EVs), hydrogen refuelling stations (HRSs), wind turbines (WTs), and photovoltaics (PVs), a high‐dimensional feasible region model is proposed to accurately capture the flexibility of distributed resources. In order to overcome the curse of dimensionality in calculating the total adjustable power of the interval, an internally approximate isomorphic polyhedron model is proposed. It reduces the dimensionality of complex high‐dimensional power space regions by translating and scaling the basic isomorphic polyhedra. Additionally, an optimal bidding model based on the Conditional Value at Risk (CVaR) is developed. This model takes into account the diverse demand traits of demand response and peak regulation, along with the uncertainties and adjustable power range of the EH‐VPP.
Zhou et al. (Thu,) studied this question.