考虑碳交易机制的海港综合能源系统电-热混合储能优化配置
Optimal Allocation of Electric-Thermal Hybrid Energy Storage for Seaport Integrated Energy System Considering Carbon Trading Mechanism
林森 1文书礼 2朱淼 2戴群 3鄢伦 4赵耀 1叶惠丽2
作者信息
- 1. 上海电力大学 电气工程学院,上海 200090
- 2. 上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240
- 3. 中船动力(集团)有限公司,上海 200129
- 4. 武汉第二船舶设计研究所,武汉 430064
- 折叠
摘要
随着港口电气化进程逐渐加速,单一的港口供能方式正在向多种能源深度融合演变.为响应我国"碳达峰、碳中和"战略目标,进一步提升海港综合能源系统的经济与环境双重效益,提出一种考虑碳交易机制的电-热混合式储能优化配置方案.首先,建立海港综合能源系统模型,并给出计及碳交易市场的交易方案;其次,构建双层优化配置框架,上层优化配置混合式储能容量,下层引入碳交易机制,满足港口综合能源系统低碳经济运行需求;最后,结合网格自适应直接搜索法与自适应混沌粒子群算法优势,利用混合式优化算法对双层优化模型进行求解.以天津港的实际运行数据为例,验证该方法的有效性.算例结果表明,所提方法不仅可以降低系统的投入成本,还能显著减少港区碳排放,从而进一步提升港口经济和环境效益.
Abstract
With the continuous increase of electrification in seaports,the single energy supply mode of seaport microgrid is evolving towards multi-energy integration.Aimed to achieve the goals of peak carbon and carbon neutrality,an optimal carbon trading mechanism-based allocation scheme of hybrid electric and thermal storage system is proposed to further maximize the economic and environmental benefits.First,the integrated energy system model of a seaport is established,incorporating a scheme within the carbon trading market.Then,a bi-level optimization framework is proposed,in which the upper layer is utilized to optimize the allocation of the hybrid energy storage system and the lower layer is employed to optimize the operation.Afterwards,a combination algorithm of the mesh adaptive direct search and the adaptive chaotic particle swarm optimization is developed to solve the proposed problem.Finally,the real-world data of Tianjing port is utilized to verify the method.The numerical results demonstrate that with the help of the proposed method,both the cost and carbon emissions are dramatically reduced.
关键词
海港综合能源系统/碳交易机制/混合储能/网格自适应直接搜索算法/自适应混沌粒子群算法Key words
seaport integrated energy system/carbon trading mechanism/hybrid energy storage/mesh adaptive direct search algorithm/adaptive chaotic particle swarm optimization algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据