IEEE Transactions on Sustainable Energy· 2020Q1
Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage
- 622citations
- Q1SCImago
- 2020year
Short summary
A novel planning model for electricity-hydrogen integrated energy systems (EH-IES) is proposed, incorporating power-to-heat-and-hydrogen (P2HH) with operational constraints and seasonal hydrogen storage (SHS).
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Key points
- Proposes a planning model for electricity-hydrogen integrated energy systems (EH-IES) suitable for ultra-high renewable energy penetration.
- Introduces a power-to-heat-and-hydrogen (P2HH) model with startup/shutdown constraints and a novel seasonal hydrogen storage (SHS) model.
- Employs stochastic and robust optimization to address generation-load uncertainties and N-1 contingency analysis for reliability.
- Investigates the impact of seasonal ratios on SHS allocation and operation.
AI-generated from the title and abstract; the full text is not read.
Abstract
For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES) is proposed with the considerations of hydrogen production and storage technologies. In this EH-IES, a reasonable power to heat and hydrogen (P2HH) model with startup/shutdown constraints and a novel model of seasonal hydrogen storage (SHS) are proposed for the first time. To cope with the challenges faced by EH-IES, we use a combination of stochastic and robust optimization approaches to address the generation-load uncertainties, making the planning results robust. The N-1 contingency of crucial devices is further considered to make the system reliable. Additionally, the effects of the annual ratios of different seasons on the optimal allocation and operation of SHS are investigated. The min-max-min model with binary variables is solved by a nested column-and-constraint generation algorithm. Finally, case studies verified the advantages and effectiveness of the proposed model and planning method.
The authors' abstract, as published at the source. IEEE Transactions on Sustainable Energy, 2020 · DOI ↗
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Field: Energy Engineering and Power Technology
Energy Engineering and Power TechnologyEnergy