Optimal distributed energy scheduling for port microgrid system considering the coupling of renewable energy and demand

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
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引用次数: 0

Abstract

The increased uptake of distributed renewable energy in port areas is facilitating the electrification and net zero transition of marine ports. Effective operation that considers unique characteristics of the port is critical to minimize the operating cost in the port microgrid (PMG). In this paper, we propose a joint scheduling method that considers the impact of tidal patterns on the period and intensity of port operations. The method takes advantage of the strong correlations between renewable energy (solar, wind and tidal) and multi-class load to support the PMG operator in determining the most cost-effective scheduling of energy supply and flexible loads during port activities. Additionally, the traditional centralized operation is vulnerable to local failures, and distributed operation for hundreds of energy units will result in significant computational burden, neither of which is suitable for the PMG operation. Our work decouples the PMG system based on the port functions and thus decomposes the PMG operation into a few subproblems. Then, we hierarchically solve the primal and dual problems by a distributed algorithm. Simulation results illustrate the benefits of tidal energy in the renewable generation mix. Furthermore, the proposed method achieves cost reductions of 12.4% and 21.7% under two different tidal patterns.

考虑可再生能源与需求耦合的港口微电网系统最优分布式能源调度
港口地区越来越多地采用分布式可再生能源,这促进了海港的电气化和净零过渡。考虑到港口独特特性的有效运营对于最大限度降低港口微电网(PMG)的运营成本至关重要。在本文中,我们提出了一种联合调度方法,该方法考虑了潮汐模式对港口运营周期和强度的影响。该方法利用可再生能源(太阳能、风能和潮汐能)与多类负载之间的强相关性,支持港口微电网运营商在港口活动期间确定最具成本效益的能源供应和灵活负载调度。此外,传统的集中式运行容易受到局部故障的影响,而数百个能源单元的分布式运行会带来巨大的计算负担,这两种方式都不适合永磁发电机组的运行。我们的工作基于港口功能对永磁发电机系统进行解耦,从而将永磁发电机运行分解为几个子问题。然后,我们采用分布式算法分层求解原始问题和对偶问题。仿真结果表明了潮汐能在可再生能源发电组合中的优势。此外,在两种不同的潮汐模式下,所提出的方法分别降低了 12.4% 和 21.7% 的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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