风力发电储备优化模型与多种类型的电力系统来源的协调
Han Zhang1, Maoyuan Zhang2, Xin Li2
1Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University), Ministry of Education, Jinan, 250061, China. 201920488@mail.sdu.edu.cn.
Scientific reports
|July 29, 2025
概括
本研究引入了一种新的模型,以降低风力发电厂的频率调节成本. 通过协调多种能源,它优化了储备成本,同时确保了电网稳定性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制系统 控制系统
背景情况:
- 风力发电集成对电网频率调节提出了挑战,原因是变化.
- 优化能源储备成本对于参与初级频率调节的风电厂至关重要.
- 为了高效的电网管理,需要协调不同电力系统资源的运行.
研究的目的:
- 开发风力发电储备优化模型,以最大限度地降低频率调节能源储备成本.
- 调查多能源储备资源的协调响应法规.
- 加强风力发电在主频调节中的经济参与.
主要方法:
- 建立了多频调节储备资源 (MFRRR) 系统模型,包括风力轮机,能源储存,负载和热电单元.
- 开发了MFRRR的频率调节特征模型.
- 建议使用深度概率高斯混合模型-长期短期记忆 (DPGMM-LSTM) 网络进行储备优化策略.
- 制定了一个频率调节储备成本优化模型,目的是尽量减少.
主要成果:
- DPGMM-LSTM模型有效地优化了频率调节储备成本.
- 对多种类型的电力系统源进行协调调节,可大大降低成本.
- 拟议的方法在模拟风力发电厂模型中证明了其有效性,其中包括MFRRR.
结论:
- 开发的基于DPGMM-LSTM的模型成功地将风力发电的频率调节储备成本降至最低.
- 多种能源的协调运行是优化频率调节成本的可行策略.
- 这种方法提高了风力发电参与初级频率调节的经济可行性.
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