Coordinated demand response of power‐to‐gas and FlexGas technologies in integrated power and gas system to accommodate wind energy

Abstract

Power-to-gas (P2G) provides a promising solution to accommodate wind power in recent years, which accelerates the integration of the power system and gas network, as well as the development of the integrated demand response. This study proposes a two-layer scheduling framework to coordinate P2G and FlexGas as demand response in the integrated power and gas system (IPGS) under wind power uncertainties. Firstly, the model for FlexGas technology is developed, enabling the end-users to switch between natural gas and electricity to produce heat. In the upper-layer optimisation, considering the optimal use of the linepack storage of the natural gas system, a two-stage stochastic scheduling model for the IPGS is established. In the lower-layer optimisation, the aggregated model reflecting the heterogeneity of the FlexGas users is derived. Simulation results on the integrated IEEE 39-bus power system and 27-node gas system show that the coordinated demand response can reduce the wind curtailment and improve economic efficiency for the IPGS. Moreover, the two-layer scheduling framework is validated to be effective and computationally efficient.

Collaborative load shifting effect of power‐to‐gas and gas‐fired unit in integrated power and gas system

“…DMG t (13) By the analogy to R-B index measuring the oscillations in flow relative to total flow, the FI index is derived by dividing the total net load by the sum of the hourly/daily difference for the day/year. In terms of the similarity of river flow and energy load, and the conclusion obtained by Baker DB that lower coefficients of variation provides the R-B index with greater power to detect the flow trends, the FI index proposed in this paper will be useful in the characterization of load uniformity.…”

“…Since CFU, wind power and gas sources are the constant units, the generation of CFU and wind power, P CFU , P wind , and the gas supply G S are compared. First, the up FIGURE 13 The LSS of GFU and PtG with GLUL varying considering wind power uncertainty. LSS, load shifting strategy.…”

“…Second, PtG is working as a demand regulator and providing long‐term storage. Reference [13] applies PtG as a demand response resource to accommodate wind power and verifies its efficiency in reducing the wind curtailment and improving economic efficiency. Reference [14] studies the participation of PtG in load shifting of the power system, and introduces an economy coefficient to evaluate the dispatching and economic effect of PtG.…”