Optimal Dispatch of Flexible Resource on Demand Side Considering Uncertainties

被引：0
|
作者：
Wu J. [1 ]
Ai X. [1 ]
Hu J. [1 ]
Wu Z. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Minkowski sum; Power generation and consumption plan; Reserve capacity; Resource flexibility; Robust boundary; Virtual battery model;
D O I：
10.7500/AEPS20181109004
中图分类号：
学科分类号：
摘要：
Sufficient grasp of flexibilities available from resources on demand side can better realize day-ahead optimal scheduling and reasonably provide ancillary services to power grids. However, the resources on demand side have abundant species, large quantities, small capacities and strong randomness. In addition, resources on demand side are usually distributed in different locations at the bottom of the system structure. Thus, these flexibilities need to be integrated and quantified. This paper takes the nodes with high-penetration of distributed energy as the research object. Virtual battery model with robust boundary is used to quantatively describe the flexibilities of aggregated electric vehicles and photovoltaic output considering their uncertainties. Based on the proposed virtual battery model, the transactive platform participates in the day-ahead electricity market and adopts a coordinated optimization strategy to reasonably allot energy schedule and reserve capacity. The case study verifies the effectiveness of the proposed method, which can reduce computational complexity caused by high-penetration distributed energy, and reduce the exposure risk of privacy electricity information for users. © 2019 Automation of Electric Power Systems Press.
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页码：73 / 80and89
页数：8016
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