Decentralized Dynamic Optimal Power Flow in Distribution Networks With Distributed Generation and Energy Storage Devices

被引：0

作者：

Lu Y. ^{[1
]}

Dai Y. ^{[2
]}

Ma W. ^{[1
]}

Wu X. ^{[1
]}

Liu M. ^{[2
]}

Lin S. ^{[2
]}

机构：

[1] China Southern Power Grid Shenzhen Power Supply Bureau, Shenzhen, 518001, Guangdong Province

[2] School of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong Province

来源：

Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 02期

关键词：

Auxiliary problem principle; Decentralized optimization; Distributed generation; Distribution network; Dynamic optimal power flow; Energy storage device; Spinning reserve;

D O I：

10.13335/j.1000-3673.pst.2018.1740

中图分类号：

学科分类号：

摘要：

With a large number of distributed generators integrated to distribution network, the distribution network is greatly enhanced in dispatchabilityand gradually presents multi-agent characteristics. Therefore, while performingoptimal dispatch of distributed generators, the privacy between different agents should be protected as well, thus bringing a great challenge to traditional optimal dispatch mode. In this paper, firstly, a dynamic optimal power flow (DOPF) model of distribution network with distributed generators and energy storage devices is established with positive and negative spinning reserve used to deal with uncertainty of photovoltaic outputs. By linearly approximating the AC power flow equation in the model, and proving that the complementary constraints on outputs of energy storage devices can be automatically satisfied under certain conditions, the original nonlinear programming model is transformed into a quadratic programming problem. Next, treating the distribution network, distributed power and energy storage devices as independent agents, the DOPF model is transformed into a decentralized optimization model. Then, the auxiliary problem principle is used to solve this model by decomposing the distributed DOPF model into several independent sub-models. They are all quadratic problems and belong to different agents. This method can protect the privacy among different agents and exchangeboundary information between them. It also realizes coordination and optimization among the independent agents so as to achieve global optimum. Finally, IEEE 33-bus and an actual 265-bus distribution system are used to verify correctness and effectiveness of the proposed method. © 2019, Power System Technology Press. All right reserved.

引用

页码：434 / 442

页数：8

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