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考虑源-荷匹配偏差的直流外送系统多时间尺度分层优化调度方法
Multi-Time-Scale Hierarchical Optimization Scheduling Method for DC Power Transmission Systems Considering Source-Load Matching Deviation
【目的】为提高大规模风光跨区跨省消纳的经济性，提出一种考虑源-荷匹配偏差的直流外送系统多时间尺度分层优化调度方法。【方法】提出了考虑源-荷匹配偏差的用户电价修正方法，建立了基于Logistic函数模糊响应机理的负荷需求响应模型，通过动态电价得到响应后的用户负荷和输送电价。在日前时间尺度下，通过送受端联络线输送电价表示不同时段送受端输送、接受电量意愿，并提出了考虑输送意愿成本的日前优化调度模型。在日内时间尺度下，提出一种结合模糊参数与t location-scale分布的风光随机分量描述方法，将其与日前调度结果作为输入，结合直流功率调整策略构建日内跨区跨省分层优化调度模型。【结果】算例验证表明：所提源-荷匹配偏差动态修正用户电价方法可量化供需偏差，并通过Logistic函数模糊响应机理的负荷需求响应模型引导负荷主动追踪新能源发电曲线；考虑输送意愿成本的调度模型能优化区域间风光资源配置，降低火电机组出力波动并提升系统经济性；日内分层优化模型通过动态调整调度方式，在避免局部过度调整的同时使计算时间降低了22.82 s，实现了经济性与运行效率的协同优化。【结论】所提考虑源-荷匹配偏差的直流外送系统多时间尺度分层优化调度方法可显著提升高比例新能源接入直流外送系统的风光消纳能力，在缩短调度计算时长的同时有效降低系统运行经济成本。
[Objective] To enhance the economic efficiency of large-scale cross-regional and cross-provincial wind and solar power absorption，a multi-time-scale hierarchical optimization scheduling method for DC power transmission systems considering the source-load matching deviation is proposed. [Methods] A user electricity price correction method considering the source-load matching deviation is proposed. A load demand response model based on the Logistic function fuzzy response mechanism is established. The response-induced user load and transmission electricity price are obtained through dynamic electricity prices. In the day-ahead time scale，the transmission and receiving electricity willingness at the sending and receiving ends at different times is represented by the transmission and receiving electricity prices at the sending and receiving ends through the interconnection line，and a day-ahead optimization scheduling model considering the transmission willingness cost is proposed. In the intraday time scale，a wind and solar random component description method combining fuzzy parameters and t-location-scale distribution is proposed. It is combined with the day-ahead scheduling results as the input，and an intraday cross-regional and cross-provincial hierarchical optimization scheduling model is constructed based on the DC power adjustment strategy. [Conclusions] The case study verifies that the proposed dynamic correction method of user electricity price considering the source-load matching deviation can quantify the supply-demand deviation，and guide the load to actively track the curve of new energy power generation through the load demand response model based on the Logistic function fuzzy response mechanism； the scheduling model considering the transmission willingness cost can optimize the regional wind and solar resource allocation，reduce the output fluctuation of thermal power units and improve the system economic efficiency； the intraday hierarchical optimization model adjusts the scheduling mode dynamically，avoids local excessive adjustment，and improves the calculation efficiency by 22.82 seconds while achieving the coordinated optimization of economic efficiency and operational efficiency. [Conclusions] The proposed multi-time-scale hierarchical optimization scheduling method for DC power transmission systems considering source-load matching deviation can significantly enhance the wind and solar power absorption capacity when high penetrations of new energy are integrated into DC power transmission systems. It can not only shorten the scheduling calculation time but also effectively reduce the operational economic cost of the system.
源-荷匹配偏差 / 多时间尺度 / 分层优化 / 直流功率调整 / 跨省调度模型
source-load matching deviation / multi-time-scale / hierarchical optimization / DC power adjustment / cross-provincial scheduling model
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