摘要
针对源网荷储一体化,降低预测误差对配网调度的影响,提出一种源网荷储协同的主动配电网多时间尺度优化调度策略。首先,建立电动汽车参与调度的响应模型,并根据柔性负荷的运行特性进行分类,以适应多时间尺度。在日前时间尺度上,建立配电网运行成本最小的调度计划;日内尺度上,综合考虑经济性及增加新能源消纳量等目标,采用滚动优化思想对有较大预测误差的日前调度计划进行修正;在实时阶段,结合日内计划,建立计及出力偏差最小的微调模型。最后,利用熵权法对各目标赋权,采用Yalmip+Cplex对模型求解,验证了调度策略的经济性。
With the integration of source-grid-load-storage,to lower the impact of prediction error on distribution network scheduling,this paper proposes a multi-timescale optimization scheduling strategy of active distribution network with source-grid-load-storage coordination.First,the response model of electric vehicles participating in dispatching is built and classified according to the operating characteristics of flexible loads to adapt to multiple time scales.On the day-ahead time scale,a dispatch plan is made with the lowest operating cost of the distribution network.On the intraday scale,with thorough consideration of achieving higher economy and increasing consumption of new energy,the rolling optimization is employed to revise the day-ahead scheduling plan with large forecast error.In the real-time phase,combined with intraday planning,a fine-tuning model with minimal output deviation is built.Finally,the entropy weight method is employed to empower each target,and Yalmip+Cplex is used to seek the model solution,demonstrating its superior economy.
作者
陈将宏
李雪莲
袁腾
王羲沐
李伟亮
CHEN Jianghong;LI Xuelian;YUAN Teng;WANG Ximu;LI Weiliang(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2024年第3期343-353,共11页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金面上项目(62371271)。
关键词
源网荷储
需求响应
滚动优化
多时间尺度
主动配电网
source-grid-load-storage
demand response
scroll optimization
multi-timescale
active distribution network
