大连理工大学建设工程学院,辽宁省大连市 116024
王月(1997—),女,博士研究生,主要研究方向:清洁能源多能互补。E-mail:wangyue1@mail.dlut.edu.cn
申建建(1984—),男,通信作者,教授,博士生导师,主要研究方向:水电系统调度、水风光储多能互补、清洁能源电力市场。E-mail:shenjj@dlut.edu.cn
郝婷洁(2001—),女,硕士研究生,主要研究方向:清洁能源多能互补。E-mail:htj20010613@mail.dlut.edu.cn
收稿:2025-01-03,
修回:2025-04-30,
网络首发:2025-06-18,
纸质出版:2025-10-10
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王月,申建建,郝婷洁等.耦合多受端日内负荷特征的流域水风光系统中期调度方法[J].电力系统自动化,2025,49(19):174-184.
WANG Yue,SHEN Jianjian,HAO Tingjie,et al.Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends[J].Automation of Electric Power Systems,2025,49(19):174-184.
王月,申建建,郝婷洁等.耦合多受端日内负荷特征的流域水风光系统中期调度方法[J].电力系统自动化,2025,49(19):174-184. DOI: 10.7500/AEPS20250103001.
WANG Yue,SHEN Jianjian,HAO Tingjie,et al.Mid-term Scheduling Method for Basin Hydro-Wind-Solar System Coupled with Intraday Load Characteristics of Multiple Receiving Ends[J].Automation of Electric Power Systems,2025,49(19):174-184. DOI: 10.7500/AEPS20250103001.
流域水风光清洁能源基地需要跨区域送电多个省(市),但省级电网间迥异负荷特征和新能源连续多日极端高出力极易导致调峰失衡甚至整体调节困难,产生弃电风险。针对上述问题,提出耦合多受端日内负荷特征的流域水风光系统中期调度方法。首先,构建峰平谷时段划分模型,采用变步长搜索策略进行求解,集成5种负荷特征指标以准确描述多受端电网的差异负荷特征,并以特征指标差异最小为原则建立受端负荷需求重构模型;然后,构建发电量最大和送电偏差最小多目标中短期嵌套调度模型,以确定多日送电量和日内送电计划;最后,依托中国西南大型水风光基地及其送电七省(市)实际工程,通过枯、汛期风光新能源连续多日极端高出力这两种极端场景分析,论证了所提方法对响应受端负荷特征和减少弃电量的有效性。
The basin hydro-wind-solar clean energy base requires cross-regional power transmission to multiple provinces (municipalities). However
various load characteristics among provincial power grids and the continuous extremely high output of renewable energy for several days can easily lead to imbalanced peak shaving and even systemic regulation difficulties
resulting in the risk of power curtailment. To address these issues
a mid-term scheduling method is proposed for basin hydro-wind-solar systems coupled with intraday load characteristics of multiple receiving ends. First
a peak-flat-valley time division model is constructed and solved by using a variable-step search strategy. Five load characteristic indicators are integrated to accurately describe the divergent load characteristics of power grids with multiple receiving ends. A load demand reconstruction model at the receiving end is then established based on the principle of minimizing differences in characteristic indicators. Secondly
a multi-objective short-mid-term nested scheduling model is developed to maximize power generation while minimizing power deviation
determining both multi-day power delivery targets and intraday transmission schedules. Finally
leveraging the practical project from a large-scale hydro-wind-solar base in Southwest China and its seven receiving provinces (municipalities)
the proposed method is validated through the analysis of two extreme scenarios of continuous extremely high output of wind-solar energy for several days during dry and flood seasons. The effectiveness of the proposed method in responding to load characteristics at the receiving end and reducing power curtailment is validated.
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