1. 国网电力科学研究院有限公司,江苏,南京,211106
2. 河海大学 电气与动力工程学院,江苏,南京,210098
3. 国电南瑞科技股份有限公司,江苏,南京,211106
4. 国电南瑞南京控制系统有限公司,江苏,南京,211106
网络出版:2025-10-23,
纸质出版:2025
移动端阅览
王振, 丁孝华, 余昆, 赵景涛, 黄堃, 李渊, 吴俊兴. 计及自治运行优化的配电网台区调节潜力区间建模[J]. 中国电力, 2025, 58(10): 97-109.
WANG Zhen, DING Xiaohua, YU Kun, et al. Regulation Potential Range Modeling for Distribution Transformer Zones Considering Autonomous Operation Optimization[J]. 2025, 58(10): 97-109.
王振, 丁孝华, 余昆, 赵景涛, 黄堃, 李渊, 吴俊兴. 计及自治运行优化的配电网台区调节潜力区间建模[J]. 中国电力, 2025, 58(10): 97-109. DOI: 10.11930/j.issn.1004-9649.202410079.
WANG Zhen, DING Xiaohua, YU Kun, et al. Regulation Potential Range Modeling for Distribution Transformer Zones Considering Autonomous Operation Optimization[J]. 2025, 58(10): 97-109. DOI: 10.11930/j.issn.1004-9649.202410079.
针对当前灵活性资源调节潜力评估方法没有计及台区最优运行状况,致使台区支撑上级电网功率调节时影响自身自治运行的问题,提出一种计及台区自治运行优化和源荷不确定性的可调节潜力区间建模方法。首先,聚合台区分散灵活性资源并建立其调控模型;其次,以台区最优运行为目标优化得到台区与上级电网交互功率基线;最后,计及源荷不确定性,基于基线交互功率最大化台区向上/下调节裕度,建立台区调节潜力区间模型,并采用水母搜索算法求解。算例仿真结果表明,所提方法能够准确评估台区调节潜力区间,为上级电网合理分配调节任务提供可靠参考,同时有效平衡台区最优运行与调节能力之间的关系。
To address the issue that current regulation potential evaluation methods for flexibility resources fail to consider the optimal operation status of distribution transformer zones
resulting in adverse impacts on the zones' autonomous operation when supporting the upper-level grid's power regulation
this paper proposes a modeling method for regulation potential range that incorporates autonomous operation optimization of distribution transformer zones and source-load uncertainties. Firstly
the scattered flexibility resources within the distribution transformer zone are aggregated
and a regulation model is established. Then
the interaction power baseline between distribution transformer zones and the upper-level grid is optimized to achieve the optimal operation of the distribution zone. Finally
accounting for source-load uncertainties and based on baseline interactive power
a transformer zone regulation potential range model is developed to enhance the upward/downward regulation margins
with solution via the jellyfish search algorithm. Simulation results demonstrate that the proposed method can accurately evaluate the regulation potential range of the transformer zones
providing reliable references for the upper-level grid to allocate regulation tasks effectively
and achieve a balance between optimal operation and regulation capability of the transformer zones.
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