Multi-scenario variable time scale optimal scheduling of active distribution network based on model predictive control

被引：0
|
作者：
Liu Z. [1 ]
Zhang T. [1 ]
Wang Y. [2 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] Department of Electrical Engineering, North China Electric Power University(Baoding), Baoding
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 04期
关键词：
Active distribution network; Copula model; MPC; Optimal scheduling; Source-load correlation; Variable time scale;
D O I：
10.16081/j.epae.202201001
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the source-load prediction error has large influence on the scheduling of active distribution network, a multi-scenario variable time scale optimal scheduling strategy of active distribution network is proposed based on MPC(Model Predictive Control), which fully considers the correlation of source-load data. In the day-ahead and intra-day optimization stage, the Vine Copula model is used to describe the source-load correlation, the source-load output scenarios are formed by combining the scenario generation and reduction technology. An optimization model with the minimum expected operation cost of distribution network under multiple scenarios as its objective is built, and the operation status and output of adjustable resources, such as units, energy storage and reactive power compensation devices in distribution network are solved. In the real-time optimization stage, the idea of MPC is adopted, aiming at the objective of minimum the adjustable resource adjustment, the concept of scenario similarity and a method of adaptive tracking optimal trajectory are proposed, and the real-time scheduling based on rolling optimization and feedback and optimal reference trajectory is obtained. The modified IEEE 33-bus system is used to verify the feasibility of the proposed optimization strategy. © 2022, Electric Power Automation Equipment Press. All right reserved.
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页码：121 / 128
页数：7
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