考虑新能源黑启动电源时空互补特性的分区恢复统一优化决策

doi:10.19595/j.cnki.1000-6753.tces.260732

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摘要

研究高比例新能源下的分区恢复策略对提升新型电力系统应急保障能力具有重要意义。本文针对传统黑启动电源短缺的问题,提出一种考虑新能源黑启动电源时空互补特性的分区恢复方法。首先,构建计及新能源场站时空互补特性的黑启动能力评估体系,将其划分为独立支撑、协同支撑与依赖外部启动型三类恢复角色。其次,针对不同恢复角色施加差异化的出力上界约束,以确定新能源场站的功率可调范围。进而,以最大化火电机组发电能力、最小化重要负荷损失量和最大化新能源黑启动电源互联效益为目标,构建包含新能源组合黑启动电源划分、分区边界生成和元件恢复顺序优化的多目标混合整数线性规划模型。最后,改进的IEEE-39和IEEE-118节点系统的仿真结果表明,所提分区恢复方案能有效挖掘新能源场站黑启动潜力并提升系统整体恢复效率。

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	郭梦灏
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关键词 ：黑启动, 分区恢复, 新能源黑启动电源, 时空互补特性

Abstract：

In recent years, the penetration of renewable energy has been gradually increasing. The inherent characteristics of renewable energy, together with continuous advancements in control technologies, enable renewable-based black-start sources to enhance the emergency resilience of power systems. However, existing optimization methods for partition restoration have not fully considered the operational characteristics of renewable-based black-start sources and have difficulty in effectively exploiting the synergistic support benefits among renewable energy sites. Therefore, to address the shortage of traditional black-start sources, this paper proposes a partition restoration method considering the spatio-temporal complementarity of renewable-based black-start sources.
First, a black start capability assessment framework considering the spatio-temporal complementarity of renewable energy sites is established, based on which renewable energy sites are classified into three recovery roles: independent support, collaborative support, and external-start-dependent. Then, differentiated upper output constraints are applied to different recovery roles to determine the adjustable power ranges of renewable energy sites. Subsequently, the complementarity among renewable energy sites is quantified according to the changes in volatility before and after incorporating available output, thereby characterizing the interconnection benefits of renewable-based black-start sources. This objective guides renewable-based black-start sources with high complementarity to be assigned to the same partition, forming a combined source that provides coordinated output and enables rapid interconnection during the restoration process. Based on this, a multi-objective mixed-integer linear programming model is constructed with the objectives of maximizing the generation capability of thermal power units, minimizing critical load losses, and maximizing the interconnection benefits of renewable-based black-start sources. The proposed model integrates the formation and partitioning of renewable-based black-start source groups, the generation of partition boundaries, and the optimization of component restoration sequences. Finally, the effectiveness of the proposed method is verified in the modified IEEE 39-bus system and IEEE 118-bus system.
The results demonstrate that the proposed method can provide safe and efficient restoration schemes for power systems with a high proportion of renewable energy. The following conclusions can be drawn from the simulation analysis: (1) The proposed black start capability assessment method, which considers the spatio-temporal complementarity, can effectively exploit the black start potential of renewable energy sites. This increases the initial startup power available to the system and accelerates power supply restoration. (2) By utilizing the spatio-temporal complementarity to construct renewable-based black-start source groups, multiple power sources can achieve coordinated power output. This effectively reduces fluctuations in available renewable power within each partition, thereby lowering operational risks during the restoration process. (3) By jointly optimizing the formation and partitioning of renewable-based black-start source groups, partition boundaries, and component restoration sequences, the proposed model obtains an optimal restoration scheme. This enables better utilization of the black start capability of the system and satisfies the requirements for rapid decision-making during the restoration process.

Key words： Black start partition restoration renewable-based black-start sources spatio-temporal complementarity

收稿日期: 2026-05-14

PACS:

TM732

基金资助:

国家自然科学基金资助项目（U22B2099）

通讯作者: 汪盈杉女,2000年生,博士研究生,研究方向为电力系统恢复。E-mail：yingshanwang@ncepu.edu.cn

作者简介: 郭梦灏女,2002年生,硕士研究生,研究方向为电力系统安全防御与恢复控制。E-mail：menghaoguo@ncepu.edu.cn

引用本文:

郭梦灏, 汪盈杉, 顾雪平, 李少岩. 考虑新能源黑启动电源时空互补特性的分区恢复统一优化决策[J]. 电工技术学报, 0, (): 260732-. Guo Menghao, Wang Yingshan, Gu Xueping, Li Shaoyan. Unified Optimization Decision for Partition Restoration Considering Spatio-temporal Complementarity of Renewable-based Black-start Sources. Transactions of China Electrotechnical Society, 0, (): 260732-.

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