考虑源荷储联合调峰的日前-日内两阶段滚动优化调度  

Two-stage Day-ahead and Intra-day Rolling Optimal Scheduling Considering Source-load-storage Joint Peak Shaving

作　　者：薄利明 邹鹏[2] 郑惠萍 刘新元 赵书强[3] 胡永强[3] 李志伟[3] 吴杨[3] BO Liming;ZOU Peng;ZHENG Huiping;LIU Xinyuan;ZHAO Shuqiang;HU Yongqiang;LI Zhiwei;WU Yang(State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;Electric Power Dispatch and Control Center of State Grid Shanxi Electric Power Company,Taiyuan 030001,China;Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province(North China Electric Power University),Baoding 071003,China)

机构地区：[1]国网山西省电力公司电力科学研究院,山西太原030001 [2]国网山西省电力公司调度控制中心,山西太原030001 [3]河北省分布式储能与微网重点实验室(华北电力大学),河北保定071003

出　　处：《华北电力大学学报(自然科学版)》2025年第1期34-43,共10页Journal of North China Electric Power University:Natural Science Edition

基　　金：国网山西省电力公司科技项目(520530200015).

摘　　要：为了应对新能源大规模并网给电力系统带来的调峰压力,充分挖掘源荷储资源的调度潜力,建立了日前-日内两阶段滚动优化调度模型。首先,将柔性负荷通过需求响应机制纳入调度计划,分别对价格型需求响应和激励型需求响应行为进行建模。然后,建立计及机组寿命损耗和环境效益的火电机组调峰全过程成本模型。最后,考虑到风光出力预测误差呈现“近小远大”的特点,基于机会约束条件建立旋转备用约束,实现不同时间尺度下置信水平的配合。采用修改后的IEEE30节点系统作为算例,分析结果验证了本文所提模型的有效性,柔性负荷具有削峰填谷的作用,通过不同资源种类以及不同时间尺度上的协调优化,提高了新能源消纳水平,对电力系统的经济运行具有重要意义。In order to cope with the peak load regulation pressure brought by the large-scale grid connection of new energy to the power system and fully tap the scheduling potential of source,load and storage resource,we established a two-stage rolling optimization scheduling model.Firstly,we incorporated the flexible load into the scheduling plan through the demand response mechanism,and modeled the price-based demand response and incentive-based demand response behaviors respectively.Secondly,we established the whole process cost model of thermal power unit peak load regulation considering unit lifetime degradation and environmental benefits.Finally,considering the fact that the prediction errors of wind and photovoltaic output exhibit the characteristic of being‘smaller in the near term and larger in the long term’,we formulated the spinning reserve constraint based on the opportunity constraint condition to realize the cooperation of confidence levels at different time scales.The modified IEEE30-node system is employed as an example,and analysis results verify the effectiveness of the proposed model.Flexible load plays a role in peak shaving and valley filling.Through the coordinated optimization of different resource types and different time scales,the new energy accommodation level is improved,which holds significant implications for the economic operation of power system.

关 键 词：火电深度调峰 需求响应 储能装置 新能源消纳 多时间尺度 

分 类 号：TM73[电气工程—电力系统及自动化]