Work

Supply–Demand Collaborative Optimization for a Hydrogen‐Driven Park’s Zero‐Carbon Integrated Energy System

Year: 2026

Type: article

Abstract: Hydrogen‐driven zero‐carbon energy system is one of the effective paths to realize the construction of zero‐carbon parks. However, the optimal scheduling of hydrogen‐driven integrated energy system (IES) faces significant challenges, including the intermittency of renewable energy, the dynamic characteristics of hydrogen production and storage, and the complex interactions among multiple energy carriers. In this paper, we construct a hydrogen‐driven park’s zero‐carbon IES in which wind power, photovoltaic power, and hydrogen are considered as energy sources. To achieve the goals of economic and zero carbon, a supply–demand collaborative two‐stage robust optimization model is constructed in which heterogeneous energy storage, demand response, and uncertainties are considered. The C&CG algorithm is presented to solve the supply–demand collaborative robust optimization model. The results show that the integration of multienergy storage systems can reduce energy cost by 78.95% and the collaboration between energy supply and demand can reduce energy cost by 47.07%. Moreover, multiple energy storage methods can significantly increase the flexibility to realize zero carbon emission.

Source: International Journal of Energy Research

DOI: 10.1155/er/1944201

Authors: Kun Liu, Feng Gao, Zhanbo Xu, Jiang Wu

Institution: Xi'an Jiaotong University

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $2,700