哥伦比亚某社区带电池和抽水蓄能的柴油-光伏-风能系统的优化设计

Semaria Ruiz Alvarez, A. Ruiz, J. Oviedo
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引用次数: 26

摘要

本文提出了一种组合优化技术,即分切算法,来设计哥伦比亚Unguia社区的混合隔离微电网。此外,本文还比较了用分切算法、HOMER软件和Unguia社区的遗传算法得到的设计结果。拟议中的微电网包括两个柴油发电机,其基础设施已经在社区中存在,光伏板,风力涡轮机和两个存储系统:电池和抽水蓄能。设计的目标是确定抽水蓄水池、泵、水轮机的尺寸,并选择电池、面板和风力涡轮机的数量,以最大限度地降低年成本和二氧化碳系统排放。所提出的设计确保了系统的一定程度的可靠性。仿真结果表明,采用分切算法设计的微电网成本最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal design of a diesel-PV-wind system with batteries and hydro pumped storage in a Colombian community
This paper proposes to use a combinatorial optimization technique, the branch and cut algorithm, to design an hybrid isolated microgrid in the Colombian community of Unguia. In addition, this paper presents a comparison between the designs obtained with the branch and cut algorithm, the software HOMER and a genetic algorithm for the Unguia community. The proposed microgrid includes two diesel generators whose infrastructure already exists in the community, photovoltaic panels, wind turbines and two storage systems: batteries and hydro-pumped storage. The goal of the design is to dimension the hydro-pumped storage tank, pump, hydraulic turbine, and to choose the number of batteries, panels and wind turbines that minimize the annual costs and CO2 system emissions. The proposed designs ensure a level of reliability on the system. Simulation results show that the design with the branch and cut algorithm have the lowest cost for the Unguia microgrid.
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