Research on Joint Operation of Wind and Solar Storage System Based on Genetic Algorithm

Yanfei Zhang, Lei Zhang, Hui Wang, R. Qin
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Abstract

With the large-scale integration of renewable energy sources such as wind power and photovoltaics, how to use energy storage systems to coordinate and control them has become an indispensable research content. After in-depth research on the output characteristics of wind power and photovoltaic power in a certain area of Ulanqab City, a strategy that can smooth the fluctuation of new energy output and configure energy storage, which the active power output fluctuates as little as possible and meets the national new energy grid-connected fluctuation index. The required parameters are obtained by solving the simulation through the measured data and genetic algorithm in the region, thus proving the effectiveness of the proposed strategy.
基于遗传算法的风能和太阳能储能系统联合运行研究
随着风电、光伏等可再生能源的大规模并网,如何利用储能系统对其进行协调和控制已成为不可缺少的研究内容。通过对乌兰喀布市某地区风电和光伏发电输出特性的深入研究,提出了一种能够平滑新能源输出波动并配置储能的策略,使有功输出波动尽可能小,满足国家新能源并网波动指标。通过区域内实测数据和遗传算法求解仿真得到所需参数,证明了所提策略的有效性。
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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