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储能系统技术 ★ 5.0

DOMES:一种用于多能系统中能量转换、存储与网络集成设计的通用优化方法

DOMES: A general optimization method for the integrated design of energy conversion, storage and networks in multi-energy systems

作者 Enrico Dal Cin · Gianluca Carraro · Gabriele Volpato · Andrea Lazzaretto · George Tsatsaronis
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 377 卷
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Optimal synthesis design and operation of multi-energy systems including networks.
语言:

中文摘要

摘要 实现碳减排目标的现实路径需要规划和设计新型“多能系统”构型,以确定能量转换与存储单元在数量、类型、位置和规模上的最优配置,并明确其与各类终端能源用户之间的互联方式。现有文献通常将能量转换与存储的优化问题同能量网络的优化问题分开处理,而少数试图同时解决这两类问题的研究则因涉及决策变量数量庞大而不得不进行过度简化。为填补这一空白,本研究提出了“DOMES”(多能系统设计,Design Of Multi-Energy Systems),这是一种适用于多能系统整体的综合合成、设计与运行的通用优化方法。DOMES旨在最小化成本并减少碳排放,能够同时确定能量转换与存储单元的位置、类型、容量及运行策略,以及能量网络的拓扑结构与传输容量,以满足终端用户的能源需求。为使该问题在计算上可解,同时保证解的足够精度,本文采用了线性化、问题分解和时间序列聚合等数学技术。DOMES能够在从零开始规划新系统或基于现有系统进行改造升级的情境下,求得问题的全局最优解。以一个人口密集的城市区域为例,可再生能源转换设施的投资成本远高于区域供热网络和微电网,后两者合计占总投资成本的比例不足10%。预计在更大范围、人口密度较低的区域中,能源网络将具有更高的经济影响。

English Abstract

Abstract A realistic pursuit of decarbonization targets requires planning and designing new configurations of “multi-energy systems” to identify the optimal number, type, location and size of the energy conversion and storage units and their interconnections with the end users of different forms of energy. The common approach in the literature is to treat the optimization problem of energy conversion and storage separately from that of energy networks, and the few attempts to address the two problems simultaneously have led to oversimplifications due to the very large number of decision variables involved. To fill this gap, this study introduces “ DOMES ” ( Design Of Multi-Energy Systems ), a general optimization method for the integrated synthesis, design and operation of a multi-energy system in its entirety. With the goal of minimizing costs and reducing carbon emissions, DOMES can simultaneously find the location, type, size and operation of the energy conversion and storage units, as well as the topology and capacity of the energy networks, to meet the energy demand of the end users. To make the problem computationally solvable while ensuring sufficiently good accuracy of the solution, mathematical techniques such as linearization, problem decomposition and time series aggregation have been applied. DOMES is capable of finding the global optimum of the problem either while planning new systems from scratch or when starting from existing systems. Considering a densely populated urban district, the investment costs of renewable conversion plants outweigh those of the district heating network and electric microgrid, which together account for less than 10 % of the total. A much higher economic impact of energy networks is expected when considering larger, less densely populated areas.
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SunView 深度解读

该多能源系统集成优化方法对阳光电源具有重要战略价值。DOMES方法论可直接应用于ST系列储能变流器与SG系列光伏逆变器的协同配置优化,特别是在工商业园区场景中实现源-网-荷-储一体化规划。其线性化求解技术可集成至iSolarCloud平台,提升PowerTitan储能系统的容量配置精度与经济性。针对高密度城区的网络拓扑优化思路,可指导充电站布局规划及微网互联架构设计,结合GFM控制技术实现多能互补的全局最优运行,显著降低系统碳排放与全生命周期成本。