Optimal battery sizing for energy scheduling in hybrid power system using heuristic technique

N. Paliwal, Ashutosh Kumar Singh, N. Singh
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引用次数: 2

Abstract

In present scenario, electricity demand rise drastically and conversely fossil fuel resources are depleting from nature, continuously. Consequently, dependence on natural energy resources, such as solar, wind is increased. These are connected to the main grid to meet the increased electricity demand and the power system is transformed in to a hybrid power system (HPS). Battery storage (BS) is also required along with these energy sources, due to their uncertain behavior. In this paper, wind energy (WE) along with BS and small hydro plant (HP) is connected to main grid to feed a constant electrical load for study period of one day with one hour dispatch interval. An optimal capacity of BS is determined to maximize the revenue of the system, for two different moderate wind speed scenarios using artificial bee colony algorithm (ABC). Results obtained from ABC algorithm are verified through deterministic fmincon interior point (IP) method. MATLAB® platform is used to simulate the problem.
基于启发式算法的混合动力系统能量调度电池尺寸优化
在目前的情况下,电力需求急剧上升,相反,化石燃料资源正在不断地从自然界中枯竭。因此,对太阳能、风能等自然能源的依赖增加了。这些都连接到主电网,以满足增加的电力需求,并将电力系统转换为混合电力系统(HPS)。由于这些能源的行为不确定,也需要电池存储(BS)。本文研究时段为1天,调度间隔1小时,将风能(WE)与发电机组(BS)、小水电厂(HP)并网供给恒定电力负荷。采用人工蜂群算法(ABC),在两种不同的中等风速情景下,确定了系统收益最大化的最优BS容量。通过确定性fmincon内点(IP)法对ABC算法得到的结果进行了验证。利用MATLAB®平台对问题进行仿真。
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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