Distributionally robust optimization for green hydrogen plant planning considering extreme scenarios

Autor(es)

Oroya, Luis A. ; Cortez, Juan Carlos ; Terada, Lucas Zenichi ; Silva, Jessica A. A. ; Rider, Marcos J.

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY; v. 133, p. 12-pg., 2025-05-01.

Resumo

As efforts to reduce carbon emissions increase, green hydrogen from sources like wind (WD) and photovoltaic (PV) power is a promising solution for industrial decarbonization. However, the variability of renewable energy sources (RES) challenges the planning and operation of green hydrogen plants. To address these challenges, this paper proposes a novel two-stage extreme distributionally robust optimization (X-DRO) model for sizing distributed energy resources efficiently for green hydrogen production and selling. The proposed model minimizes the total capital (CAPEX) and operating expenditures (OPEX) while ensuring the robustness of performance under an uncertain renewable energy supply. The methodology includes selecting representative and extreme scenarios to input into the model, representing the variability of RES. In the first stage, capacity planning decisions, including the sizing of PV and WD units, battery energy storage systems (BESS), hydrogen storage tanks (HSTs), and electrolyzers (ELs), are considered. The second stage addresses the operating decisions concerning power exchange with the grid, hydrogen production, and storage under worst-case scenario probabilities of RES generation. The column-and-constraint generation (C&CG) algorithm is applied to solve the X-DRO model. Simulations show that the proposed model balances economic efficiency and robustness compared to robust optimization (RO) and stochastic optimization (SO) models. A comparison between the X-DRO and DRO models highlights the importance of considering extreme cases for resilient planning. (AU)

• Processo FAPESP: 21/11380-5 - CPTEn - Centro Paulista de Estudos da Transição Energética
• Beneficiário: Luiz Carlos Pereira da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento
• Processo FAPESP: 24/19222-8 - Planejamento e Operação de Sistemas de Produção de Hidrogênio Verde: Uma Abordagem Robusta
• Beneficiário: Luis Alexsander Oroya Alvarado
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 23/05708-3 - Aprendizagem por Reforço para Aplicações de Veículos Elétricos em Sistemas de Energia Elétrica
• Beneficiário: Lucas Zenichi Terada
• Modalidade de apoio: Bolsas no Brasil - Doutorado