基于进化算法的风电/柴油/蓄电池离网系统最优调度

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS) Pub Date : 2012-09-17 DOI:10.1109/ICIINFS.2012.6304817

M. Bansal, R. Saini, D. Khatod

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引用次数: 6

摘要

随着可再生能源技术在电力市场的出现，如何以最优的方式利用这些技术已成为研究人员关注的焦点。现在的重点是对这些资源的综合利用，使成本最小化，利润最大化。本文提出了一种具有蓄电池储能的风电-柴油系统的最优日调度方法。建立了以利润最大化为目标的数学模型。利用进化规划技术对问题进行了优化。然后在测试系统上对该模型进行了测试，并编写了MATLAB代码以获得测试结果。

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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Evolutionary algorithm based optimal scheduling of wind/diesel/battery based off grid system

With the advent of renewable technologies in the power market, it is of keen interest of researchers to utilize these technologies in the most optimum manner. Nowadays, the emphasis is on the integrated utilization of these resources to minimize the cost and maximize the profit. In this paper, an optimal daily scheduling approach for a wind-diesel system with battery storage has been presented. A mathematical model has been developed with the objective of maximizing profit. The problem has been optimized using Evolutionary Programming technique. This model is then tested on a test system and in order to obtain results MATLAB codes have been developed.

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来源期刊

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS)

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