Robust scheduling of virtual power plant with power-to-gas device

Abstract

The uncertainty of renewable energy output is the key factor should be considered in its participation in power market transactions. By combining renewable energy, adjustable load and energy storage devices into virtual power plants to participate in power market transactions, the risk of renewable energy participating in power market alone can be effectively reduced. In addition, as an important means of energy conversion, the power to gas (P2G) device expands the idea for the effective utilization of redundant renewable energy. In this paper, the robust optimization theory is used to analyze the output of renewable energy and the uncertainty of electricity market price. The stochastic model is transformed into a robust model, which reduces the computational burden of virtual power plant participating in the optimal decision-making of power market. The established model is verified by cases, and the influence of P2G device on the decision-making behavior of virtual power plant is analyzed.