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用于混合光伏水泵/柴油/电池系统最优选址与容量确定的混合优化方法

Hybrid optimization method for optimal site selection and sizing of a hybrid photovoltaic water pumping/diesel/battery system.

作者信息

Maleki Akbar, Heydari Fatemehzahra, Jabari Moghadam Ali

机构信息

Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran.

出版信息

Heliyon. 2024 Nov 26;11(1):e40692. doi: 10.1016/j.heliyon.2024.e40692. eCollection 2025 Jan 15.

Abstract

In this paper, a hybrid optimization method based on a technique for order of preference by similarity to an ideal solution (TOPSIS) is used for the simultaneous site selection and sizing of a hybrid photovoltaic (PV) water pumping/diesel generator energy system. Various sites in Iran are analyzed for the establishment of the photovoltaic water pumping power plants. Key geographical and climatic criteria are used for optimal site selection across different sites. Following this, technical and economic optimization of the hybrid energy scheme is conducted with the aim of maximizing reliability and minimizing costs to meet the water requirements for a 12-ha grain field and a household. The optimal number of components, including solar panels, batteries, converters, and diesel generators, are determined. Additionally, the role of an energy storage device (battery) is carefully evaluated with respect to key parameters such as initial investment cost and fuel consumption rate of the proposed hybrid systems. The results indicate that Sarayan in South Khorasan province, Beydokht 2 in Razavi Khorasan province, and Jajrom in North Khorasan province are the most suitable locations for establishing photovoltaic water pumping systems. Moreover, the optimal sizing of the three proposed hybrid energy systems (1.PV/Diesel/Battery, 2.PV/Diesel, and 3. PV/Battery) reveals that the PV/Diesel/Battery hybrid system offers the lowest costs and highest reliability. Finally, a sensitivity analysis is conducted on component prices, interest rates, and fuel prices to examine the results.

摘要

本文采用一种基于理想解相似排序法(TOPSIS)的混合优化方法,用于同时进行混合光伏(PV)抽水/柴油发电机能源系统的选址和规模确定。对伊朗的不同地点进行了分析,以建立光伏抽水发电厂。利用关键的地理和气候标准在不同地点进行最优选址。在此基础上,对混合能源方案进行技术和经济优化,目的是使可靠性最大化和成本最小化,以满足一个12公顷粮田和一户家庭的用水需求。确定了包括太阳能板、电池、转换器和柴油发电机在内的最优组件数量。此外,还针对所提出的混合系统的初始投资成本和燃料消耗率等关键参数,仔细评估了储能装置(电池)的作用。结果表明,霍拉桑省南部的萨拉扬、拉扎维霍拉桑省的贝伊多赫特2以及霍拉桑省北部的贾伊罗姆是建立光伏抽水系统最合适的地点。此外,对所提出的三种混合能源系统(1.光伏/柴油/电池、2.光伏/柴油和3.光伏/电池)的最优规模确定表明,光伏/柴油/电池混合系统成本最低且可靠性最高。最后,对组件价格、利率和燃料价格进行敏感性分析以检验结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eef8/11719384/e78cd12e0c77/gr1.jpg

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