Quantification of Flexibility Supply and Demand and Distributionally Robust Optimal Dispatch of Renewable Energy Dominated Power Systems

被引：0
|
作者：
Tong Y. [1 ]
Hu J. [1 ]
Liu X. [1 ]
Chen C. [2 ]
Ma Y. [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[2] North China Electric Power Research Institute Co., Ltd., Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 15期
基金：
中国国家自然科学基金;
关键词：
column-and-constraint generation algorithm; data-driven; demand-side flexibility; distributionally robust optimal dispatch; supply and demand balance;
D O I：
10.7500/AEPS20220707011
中图分类号：
学科分类号：
摘要：
The increasing penetration rate of renewable energy in the power grid causes a serious lack of flexibility in the power system. The existing methods for dealing with the uncertainty of supply and demand in power system flexibility have the problem of overly conservative or risky. To address the problem, a data-driven distributionally robust optimal dispatch model is proposed in this paper. Firstly, considering the spatial and temporal correlations of wind and photovoltaic (PV) power, the output power set of wind and PV is constructed based on Copula theory. The flexibility demand of the power system is quantified by combining the scenario method and the interval method. The flexibility regulation factor is introduced to characterize the capability of various resources to participate in flexibility regulation, and the flexibility supply and demand balance constraint is established. Secondly, considering the flexibility supply capability of demand-side resources such as electric vehicles, with the objective of minimizing the operation cost of flexible resources and the penalty cost of grid flexibility deficiency, a data-driven two-stage distributionally robust model is established. To reduce the conservativeness, the comprehensive norms are included to constrain the probability distribution, which can also reduce the appearance probability of extreme cases of flexibility demand. For the solution of the two-stage robust model, the theory of zero-sum game is used in the paper to decouple the model into a master problem and a subproblem, which are iteratively solved by using the column-and-constraint generation algorithm. Finally, the case verifies that the proposed model has a positive effect on improving the flexibility adequacy and the economy of the power system compared with the traditional uncertainty model. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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收藏
页码：80 / 90
页数：10
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