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广义频率成形服务中的分布式能源最优参与设计
Optimal Participation Design of DERs in General Frequency Shaping Services
| 作者 | Cheng Feng · Siyuan Wang · H. Oliver Gao · Fengqi You |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2025年7月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 | 频率控制服务 分布式能源资源 广义频率整形服务 优化模型 成本效率 |
语言:
中文摘要
针对高比例可再生能源电力系统的频率控制需求,本文提出广义频率成形服务(GFSS)框架,统一整合异构频率控制服务,实现分布式能源(DER)的规模化协调。GFSS通过标准化系统级频率响应目标,优化DER参与参数,在满足动态性能要求的同时最小化功率与能量储备需求。本文构建了非凸优化模型,并设计高效求解算法,显著降低计算耗时。算例表明,该方法可将控制服务成本降低高达60%,计算时间缩短至数分钟,具备实时、经济协调DER的应用潜力。
English Abstract
Frequency control services are essential for maintaining the stability of renewable-dominated power systems. System operators worldwide have introduced new frequency control services to encourage distributed energy resource (DER) participation. However, the lack of a unified coordination framework has led to fragmented service design, duplicated reserve requirements, and reduced cost efficiency. This paper proposes the Generalized Frequency Shaping Service (GFSS), a unified approach that integrates heterogeneous frequency control services and enables scalable DER coordination. GFSS standardizes global frequency control practices, allowing DERs with diverse dynamic capabilities to jointly form desired system-level frequency responses under time-varying grid dynamics. The core of GFSS is to systematically optimize DERs' participation parameters to minimize associated costs and satisfy system-level performance requirements. To operationalize the framework, this paper develops an optimization model that tunes DER participation parameters to minimize associated power and energy reserve requirements. In addition, the paper presents a computationally efficient solution algorithm for the non-convex participation design optimization problem. Case studies demonstrate that the proposed GFSS framework and DER participation strategy reduce control service costs by up to 60% and cut computation time to just a few minutes. These improvements highlight the method's potential for real-time, cost-efficient DER coordination.
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SunView 深度解读
该GFSS框架对阳光电源ST系列储能变流器和PowerTitan大型储能系统具有重要应用价值。研究提出的DER最优参与设计方法可直接应用于储能系统的频率响应服务,通过优化功率和能量储备参数,降低60%的控制服务成本,显著提升储能系统经济性。该算法的实时计算能力(数分钟级)可集成至iSolarCloud云平台,实现多站点储能协调优化。对于构网型GFM控制技术,该方法提供了系统级频率成形目标的标准化框架,可优化虚拟同步机VSG参数整定,提升高比例新能源场景下的电网支撑能力。建议将该优化算法嵌入储能EMS能量管理系统,实现辅助服务的智能决策与经济调度。