Research on Integrated Energy Scheduling for Coordinated Low-Carbon and Economic Optimization

In response to the escalating challenges of global climate change and the energy crisis, optimizing low-carbon environmental protection and economic operation within Integrated Energy Systems (IES) has become paramount in energy management. This study explores the integration and optimization of distributed energy storage resources within IES to enhance energy efficiency and lessen environmental impacts. It introduces a data model that covers various aspects of energy including production, consumption, storage, and conversion. To address the complexity of IES optimization, the study proposes a novel three-tier optimization framework aimed at boosting problem-solving efficiency and quality. The findings demonstrate that this approach effectively balances the economic viability and environmental sustainability of IES operations, enabling low-carbon and efficient management of energy systems and offering valuable decision support for IES optimization scheduling.