Multi-scenario optimization and performance evaluation of integrated energy system considering co-scheduling of EVs and stationary energy storage

IF 9 1区工程技术 Q1 ENERGY & FUELS

Renewable Energy Pub Date : 2024-11-17 DOI:10.1016/j.renene.2024.121927

Xiaofeng Zhang , Yuting Liu , Yu Zhan , Renshi Yan , Jin Mei , Ang Fu , Fan Jiao , Rong Zeng

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引用次数: 0

Abstract

As the mobile energy storage and load-side demand response device, energy dispatch potential of electric vehicles (EVs) in energy supply system is yet to be fully explored. This study presented a multi-energy incorporating integrated energy system (IES) with carbon capture system and power-to-gas for residential building and EVs, five optimal scheduling strategies considering EVs charging/discharging, co-dispatch of EVs and IES, and stationary battery characteristic are proposed. Optimization objectives, such as annual total cost (ATC), annual carbon emission (ACE) and total grid interaction (TGI), considering configuration and operation scheduling for IES under five scenarios can be determined through augmented ε-constraint and entropy weight-TOPSIS method, furthermore the impacts of carbon tax, battery degradation cost and the number of EVs on system performances are also studied. The results indicated that optimal ATC of IES is 6361.8 thousand yuan in Case 4 considering EVs ordered charging/discharging, optimum ACE and TGI are 4711.5 t and 2850.7 MWh in Case 5 with EVs ordered charging/discharging and state of fixed battery. Peak values and durations for charging/discharging electricity of fixed battery decrease in Case 4 and 5. This research offers a innovative idea for optimal design and operational management of integrated energy system with EVs orderly charging/discharging.

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考虑电动汽车和固定储能共同调度的综合能源系统的多场景优化和性能评估

作为移动储能和负荷侧需求响应设备，电动汽车（EV）在能源供应系统中的能源调度潜力尚待充分挖掘。本研究提出了一种多能源集成能源系统（IES），该系统具有碳捕集系统和电转燃气功能，适用于住宅楼和电动汽车，并考虑了电动汽车充/放电、电动汽车和 IES 的协同调度以及固定电池特性，提出了五种优化调度策略。通过增强ε-约束和熵权-TOPSIS方法，确定了五种情况下 IES 配置和运行调度的优化目标，如年总成本（ATC）、年碳排放（ACE）和总电网互动（TGI），并研究了碳税、电池降解成本和电动汽车数量对系统性能的影响。结果表明，在情况 4 中，考虑电动汽车有序充放电，IES 的最佳 ATC 为 636.18 万元；在情况 5 中，考虑电动汽车有序充放电和电池固定状态，最佳 ACE 和 TGI 分别为 4711.5 吨和 2850.7 兆瓦时。在情况 4 和 5 中，固定电池充放电的峰值和持续时间都有所减少。这项研究为电动汽车有序充放电综合能源系统的优化设计和运行管理提供了创新思路。

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来源期刊

Renewable Energy 工程技术-能源与燃料

CiteScore

18.40

自引率

9.20%

发文量

1955

审稿时长

6.6 months

期刊介绍： Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.