Optimization of a Solar Photovoltaic Micro Grid for Electricity and Desalinated Water Production

Adnan Zein, Chayban Ghabech, S. Karaki
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引用次数: 5

Abstract

The sizing and operation of a renewable energy system to produce electricity and desalinated water for a self-sustained (isolated) community is presented and discussed in this paper. It is carried out using an algorithm based on ordinal optimization (OO) for sizing and dynamic programming (DP) for operation. DP is used to simulate and find the optimal operation strategy of the system for a given set of different system components’ sizes and loads. OO is an efficient method to search the design space and assess alternative designs and rank them initially using a simple model. The top-S designs are then identified and re-assessed using an accurate model to obtain a set of "good enough" solutions from which the best, with a given alignment probability, is identified. A system composed of a photo-voltaic (PV) generator, a battery storage system, a diesel generator, and a reverse osmosis system is proposed. Solar power being intermittent, a variable operation of the reverse osmosis system, in conjunction with a water storage tank, is proposed as a flexible load that can lead to higher energy efficiencies. Modeling of the power components is presented and the design results for different component prices and fuel costs are presented and discussed.
用于电力和淡化水生产的太阳能光伏微电网优化
本文介绍并讨论了为自给自足(孤立)社区生产电力和淡化水的可再生能源系统的规模和运行。采用一种基于有序优化(OO)和动态规划(DP)的优化算法来实现。在给定的一组不同的系统部件尺寸和负载情况下,采用数据规划方法对系统的最优运行策略进行了模拟和求解。OO是一种搜索设计空间、评估备选设计并使用简单模型对它们进行排序的有效方法。然后使用精确的模型识别和重新评估top-S设计,以获得一组“足够好”的解决方案,从中识别出具有给定对齐概率的最佳解决方案。提出了一种由光伏发电系统、电池存储系统、柴油发电系统和反渗透系统组成的系统。太阳能是间歇性的,反渗透系统的可变操作,与储水箱相结合,被提议作为一个灵活的负载,可以带来更高的能源效率。对动力部件进行了建模,并给出了不同部件价格和燃料成本下的设计结果。
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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