Abstract
As smart grid develops and renewables advance, challenges caused by uncertainties of renewables have been seriously threatening the energy system’s safe operation. Nowadays, the integrated electric-gas system (IEGS) plays a significant role in promoting the flexibility of modern grid owing to its great characteristic in accommodating renewable energy and coping with fluctuation and uncertainty of the system. And hydrogen, as an emerging and clean energy carrier, can further enhance the energy coupling of the IEGS and promote carbon neutralization with the development of power-to-hydrogen (P2H) technology and technology of blending hydrogen in the natural gas system. Dealing with the uncertainty of renewables, a robust schedule optimization model for the integrated electric and gas systems with blending hydrogen (IEGSH) considering the dynamics of gas is proposed and the iterative solving method based on column-and-constraint generation (C&CG) algorithm is implemented to solve the problem. Case studies on the IEGSH consisting of IEEE 39-bus power system and 27-node natural gas system validate the effectiveness of the dynamic energy flow model in depicting the transient process of gas transmission. The effectiveness of the proposed robust day-ahead scheduling model in dealing with the intra-day uncertainty of wind power is also verified. Additionally, the carbon emission reduction resulting from the blending of hydrogen is evaluated.
Highlights
The energy dilemma and environmental pollution problems motivate the policy and public awareness on fossil resource depletion and renewable energy resource development (Liu et al, 2019)
This paper focuses on the robust day-ahead schedule of the integrated electric-gas system (IEGS) considering blending hydrogen
A robust schedule optimization model is proposed and the solving method based on the column-and-constraint generation (C&CG) algorithm is adopted to solve the problem
Summary
The energy dilemma and environmental pollution problems motivate the policy and public awareness on fossil resource depletion and renewable energy resource development (Liu et al, 2019). As for the integrated electric and gas systems (IEGS), many studies have been carried out focusing on its operation optimization problem and establishing the mathematical model. In (He et al, 2017), a robust optimization scheduling model for IEGS is established to optimize the operation of the two energy systems considering key uncertainties in the electric system, while the model is solving the electric system sub-problem and natural gas system sub-problem iteratively. In (Zhang et al, 2016), a stochastic day-ahead schedule optimization problem of IEGS is studied and it adopts the Monte Carlo simulation method to generate multiple scenarios to represent the uncertainties of the considered integrated systems. 2) The energy flow model of the natural gas system considering the hydrogen blending and the dynamic characteristic is proposed to describe the dynamic operation process of the gas pipeline with more accuracy.
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