数字可再生能源发电厂的运行战略和容量配置,以及储能系统
Jianbin Wu1,2, Lei Xue2, Yuming Zheng2
1State Grid Shanxi Electric Power Company, Taiyuan, 030000, China.
Heliyon
|August 21, 2024
概括
这项研究优化了参与电力市场的光伏 (PV) 工厂的电池储能系统 (BESS). 该研究模式最大限度地提高了能源套利和频率监管的收入,实现了显著的每日回报.
科学领域:
- 整合可再生能源的整合
- 储能系统 储能系统 储能系统
- 电力系统经济学 电力系统经济学
背景情况:
- 越来越多的可再生能源采用需要先进的储能解决方案.
- 可再生能源的间歇性和变化性需要有效的管理策略.
- 光伏发电厂和电池储能系统 (BESS) 是现代电网的关键组成部分.
研究的目的:
- 开发一个战略研究模型,最大限度地提高光伏发电厂和BESS的经济效益.
- 分析BESS参与能源套利和频率调节市场的情况.
- 优化BESS的容量配置和运行时间,以提高利能力.
主要方法:
- 使用NSGA-II和TOPSIS算法进行优化.
- 开发了一种优化模型来配置储能容量.
- 对BESS额定功率和储能持续时间进行了灵敏度分析.
主要成果:
- 确定了30.8兆瓦的最佳BESS容量配置和4.521小时的最大连续储能时间.
- 在最佳配置下计算出每日平均收入为2.362 × 10^5元.
- 确定了1.45 × 10^9元的初始投资成本和4.562年的回报期.
结论:
- 开发的优化模型有效地确定了光伏电站的最佳BESS配置.
- 在能源市场中BESS的战略整合大大提高了收入来源.
- 这些发现为BESS在可再生能源系统的经济部署提供了宝贵的见解.
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