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1.东南大学电气工程学院,江苏省南京市 210096
2.R&D Nester,Centro de Investigação em Energia REN—State Grid,S.A.,里斯本,葡萄牙
3.中国电力科学研究院有限公司(南京),江苏省南京市 210003
Received:13 May 2024,
Revised:2024-07-30,
Published Online:15 August 2024,
Published:25 September 2024
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徐天韵,陈涛,张鑫等.基于奇诺多面体的虚拟电厂分布式资源广域聚合调控方法[J].电力系统自动化,2024,48(18):139-148.
XU Tianyun,CHEN Tao,ZHANG Xin,et al.Zonotope-based Wide-area Aggregation and Regulation Method for Distributed Resources in Virtual Power Plant[J].Automation of Electric Power Systems,2024,48(18):139-148.
徐天韵,陈涛,张鑫等.基于奇诺多面体的虚拟电厂分布式资源广域聚合调控方法[J].电力系统自动化,2024,48(18):139-148. DOI: 10.7500/AEPS20240513002.
XU Tianyun,CHEN Tao,ZHANG Xin,et al.Zonotope-based Wide-area Aggregation and Regulation Method for Distributed Resources in Virtual Power Plant[J].Automation of Electric Power Systems,2024,48(18):139-148. DOI: 10.7500/AEPS20240513002.
由于分布式资源在配电网侧的普及,其巨大的灵活性潜力挖掘变得愈发重要。首先,选取空调负荷、储能设备、柴油发电机作为典型资源,建立了具体资源的动态电气模型,并刻画其可行域空间。然后,以奇诺多面体(Zonotope)为基础,提出一种面向广域分布式资源的高效聚合方法。在此基础上,针对Zonotope的特殊数学形式,提出Zonotope与半空间形式多面体的数学形式精确转换方法,并通过此方法将具体分布式资源的聚合集群应用于虚拟电厂(VPP)场景下的优化调控。通过算例分析验证了该聚合方法的有效性,并与其他聚合方法对比分析了该方法在精确性上的优势。最后,结合算例结果分析了资源集群聚合后的调控方法在经济性和计算效率方面的成效。
Due to the widespread adoption of distributed resources at the distribution network side
the exploration of their significant flexibility potential has become increasingly crucial. First
the air conditioning load
energy storage device and diesel generator are selected as representative resources to establish dynamic electrical models for these specific resources and delineate their feasible regions. Then
leveraging the foundation of Zonotope
an efficient aggregation method tailored for wide-area distributed resources is proposed. On this basis
aiming at the unique mathematical form of Zonotope
a precise mathematical transformation method between Zonotope and polytope in half-space form is proposed. And the aggregation clusters of specific distributed resources are applied to the optimized regulation in the virtual power plant scenario through this method. The effectiveness of this aggregation method is validated through numerical analysis
and its advantages in accuracy are compared with other aggregation methods. Finally
the effectiveness of the regulation method after resource cluster aggregation in terms of economy and computational efficiency is analyzed by combining the results of the case study.
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