Scenario-based capacity optimization of multi-type energy storage in integrated energy systems using a flexible interaction model

IF 13.3 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2026-02-01 Epub Date: 2025-12-30 DOI:10.1016/j.scs.2025.107076

Xin-Yu Ren , Zhi-Hua Wang , Liu Zhang

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引用次数: 0

Abstract

As Integrated Energy Systems (IES) evolve toward multi-energy synergy and high operational efficiency, determining the optimal allocation of multiple energy storage technologies has become a key challenge in system planning. This study investigates the capacity optimization of cooling, heating, and electrical energy storage systems across multiple operational scenarios. A unified modeling framework and scenario-based optimization approach are developed to address this problem. Eight representative configurations are analyzed, including systems without storage, single-type storage, dual-storage combinations, and fully integrated storage systems. The proposed flexible interaction optimization model simultaneously considers supply–demand coupling, storage constraints, and multi-objective criteria related to economy, energy efficiency, and environmental performance. Simulation results reveal that coordinated thermal–cold and thermal–cold–electric storage configurations significantly enhance overall system performance. Under grid-connected conditions, wind turbines (WT), solar thermal (ST), and gas boilers contribute minimally, while under off-grid conditions, WT, ST, and electrical energy storage play important roles in maintaining system stability. Compared with a fixed-order dispatch model, the proposed approach improves economic, energy efficiency, and environmental performance by at least 27.83 %, 1.09 %, and 1.09 % in off-grid electro-thermal scenarios, and by 15.95 %, 8.14 %, and 4.57 % under grid-connected conditions. These findings confirm the effectiveness of the proposed model in achieving flexible coordination and enhancing the overall performance of IES.

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基于柔性交互模型的综合能源系统多类型储能容量场景优化

随着综合能源系统（IES）向多能协同和高运行效率的方向发展，确定多种储能技术的最佳配置已成为系统规划中的关键挑战。本研究探讨了制冷、供暖和电能存储系统在多种操作场景下的容量优化。为了解决这一问题，开发了统一的建模框架和基于场景的优化方法。分析了8种典型配置，包括无存储系统、单存储系统、双存储组合系统和全集成存储系统。提出的柔性交互优化模型同时考虑了供需耦合、存储约束以及与经济、能源效率和环境绩效相关的多目标标准。仿真结果表明，协调的热冷和冷电存储配置显著提高了系统的整体性能。在并网条件下，风力涡轮机（WT）、太阳能热（ST）和燃气锅炉的贡献最小，而在离网条件下，WT、ST和电能存储在维持系统稳定方面发挥重要作用。与固定订单调度模型相比，该方法在离网电热工况下的经济性、能效和环境绩效分别提高27.83%、1.09%和1.09%，在并网工况下分别提高15.95%、8.14%和4.57%。这些发现证实了所提出的模型在实现灵活协调和提高IES整体绩效方面的有效性。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;