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首页> 外文期刊>International Transactions on Electrical Energy Systems >Optimal sizing and operation of battery storage for economic operation of hybrid power system using artificial bee colony algorithm
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Optimal sizing and operation of battery storage for economic operation of hybrid power system using artificial bee colony algorithm

机译：利用人工蜂群算法实现混合动力系统经济运行的最佳电池存储容量和运行

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摘要

This paper presents the optimal sizing and operation of battery storage (BS) using artificial bee colony (ABC) to maximize the revenue in a hybrid power system (HPS). The HPS consists of a wind plant (WP), hydro plant (HP), and BS integrated to main grid. Two diverse wind scenarios, namely moderate and abundant wind scenarios, are considered, in which wind speed remains in the range of 2 to 8 and 10 to 18m/second, at majority of the hours in a day, respectively. The problem is divided into 2 stages. In stage I, the optimal sizing of BS for the installed WP capacity is performed considering various elements and operational costs of HPS with appropriate system constraints. A priority-based power utilization scheme is used as WP, HP, and then BS to size the BS. The stage II optimizes the BS operation to maximize the HPS revenue with additionally considering BS operational costs and its aging constraint using the results of stage I as input data. And, the BS is considered as a time-dependent source by continuously adapting to the market bids, working on the principle of buy low and sell high. The results revealed that optimal BS size varies from 20% to 40% and 50% to 65% of WP capacity for moderate and abundant wind scenarios, subsequently and efficient optimized operation of BS with its operational constraints. The viability of ABC technique is demonstrated using the fmincon's interior point method (IPM) of MATLAB((R)) optimization toolbox, which is a numerical technique.
机译：本文提出了使用人工蜂群（ABC）来优化电池储藏（BS）的大小和操作，以最大化混合动力系统（HPS）的收益。 HPS由集成到主电网的风力发电厂（WP），水力发电厂（HP）和BS组成。考虑了两种不同的风场，即中风和充沛风场，在一天的大部分时间中，风速分别保持在2至8m / s和10至18m / s的范围内。该问题分为两个阶段。在阶段I中，考虑到HPS的各种要素和运营成本以及适当的系统约束，针对已安装的WP容量执行BS的最佳大小确定。基于优先级的功率利用方案用作WP，HP，然后用作BS，以调整BS的大小。第二阶段使用阶段I的结果作为输入数据，通过另外考虑BS运营成本及其老化约束，优化BS运营以最大化HPS收入。而且，BS会根据低买高卖的原理不断适应市场报价，被视为与时间有关的资源。结果表明，在中等风和充裕风的情况下，最佳BS尺寸在WP容量的20％至40％和50％至65％之间变化，随后有效地优化了BS的运行，并受到其操作限制。使用MATLAB（R）优化工具箱的fmincon内点法（IPM）证明了ABC技术的可行性，这是一种数值技术。

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