制定三阶段协调方法,以提高虚拟发电厂的效率和可靠性
Jeremiah Amissah1, Omar Abdel-Rahim1,2, Diaa-Eldin A Mansour1,3
1Electrical Power Engineering Department, Egypt-Japan University of Science and Technology, New Borg El-Arab City, 21934, Alexandria, Egypt.
Scientific reports
|June 7, 2024
概括
本研究介绍了虚拟发电厂 (VPP) 的三级框架,优化分布式能源 (DER) 调度,通过机器学习增强网络安全,并预测市场价格以增加收入.
科学领域:
- 能源系统工程 能源系统工程
- 人工智能在能源中的作用
- 网络安全在电网中的网络安全.
背景情况:
- 虚拟发电厂 (VPP) 将分布式能源 (DER) 整合到一个统一的系统中.
- 管理VPP涉及成本优化,数据安全和市场参与等复杂挑战.
- 现有的方法往往缺乏整体方法来解决这些相互关联的问题.
研究的目的:
- 为VPPs提出一个新的三级层次的层次协调操作框架.
- 优化DER调度,增强数据安全防范网络威胁,提高前一天市场收入.
- 证明框架在降低成本,检测数据操纵和提高利能力方面的有效性.
主要方法:
- 开发了一种改进的优化算法 (IPOA),以实现最佳的DER调度.
- 实现了一个卷积自编码器,用于检测优化生成数据中的偏差.
- 利用先知模型进行前一天现货市场价格预测.
主要成果:
- 与GA和PSO相比,IPOA平均降低了8.5%的发电成本.
- 卷积自编码器实现了98.06%的检测准确度,操纵数据的假阳性率为1.92%.
- 先知模型通过降低价格波动导致平均收入增长15.3%.
结论:
- 三级框架有效优化了VPP在成本,安全和市场领域的运营.
- 像IPOA,卷积自编码器和Prophet这样的先进算法显著提高了VPP的性能.
- 这种综合方法有助于建立一个更加稳定,安全和经济可行的能源部门,支持清洁能源目标.
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