Abstract
The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen (P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub (EH) with both a P2H facility (electrolyzer) and a gas-to-power (G2P) facility (hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment (SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming (MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration (HWP).
Highlights
Concerns over climate change [1, 2] and sustainability have led to a global push towards the proliferation of renewable energy in electricity generation [3]
Various energy storage devices [5, 6] and carriers [7, 8] such as electric vehicles [9, 10], batteries [11], compressed air [12] and pumped-hydro storage [13, 14] are expected to assist balancing in power systems
Since we mainly focus on the integration of the proposed energy hub (EH) into the power grid, specific processes to produce, store and utilize hydrogen are not discussed
Summary
Concerns over climate change [1, 2] and sustainability have led to a global push towards the proliferation of renewable energy in electricity generation [3]. In [27], the authors assessed the potential for P2H to increase wind power dispatchability, and in [28] they explored how to integrate P2H into power systems for load balancing Initial results from these analyses illustrate potentially compelling cases for P2H applications. Unlike other MW-size energy storage facilities, the EH can feed energy back to the power grid, and directly supply hydrogen products to other industry sectors. This could allow additional wind generation capacity to be installed inside the EH and enhance its economic viability. To consider the uncertainty of wind generation, the Monte Carlo method generates scenarios representing the volatility of wind power
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