Optimal Regulation of Virtual Power Plants

被引：140

作者：

Dall'Anese, Emiliano ^{[1
]}

Guggilam, Swaroop S. ^{[2
]}

Simonetto, Andrea ^{[4
]}

Chen, Yu Christine ^{[5
]}

Dhople, Sairaj V. ^{[3
]}

机构：

[1] Natl Renewable Energy Lab, Golden, CO 80401 USA

[2] Univ Minnesota, Minneapolis, MN 55455 USA

[3] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA

[4] IBM Res Ireland, Optimizat & Control Grp, Dublin 15, Ireland

[5] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 02期

关键词：

Distribution systems; optimizationwith feedback; real-time optimization; virtual power plants; DISTRIBUTION NETWORKS; OPTIMIZATION; SYSTEM;

D O I：

10.1109/TPWRS.2017.2741920

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper develops a real-time algorithmic framework for aggregations of distributed energy resources (DERs) in distribution networks to provide regulation services in response to transmission-level requests. Leveraging online primal-dual-type methods for time-varying optimization problems and suitable linearizations of the nonlinear AC power-flow equations, this work establishes a system-theoretic foundation to realize the vision of distribution-level virtual power plants. The optimization framework controls the output powers of dispatchable DERs such that, in aggregate, they respond to automatic generation control and/or regulation-services commands. This is achieved while concurrently regulating voltages within the feeder and maximizing customers' and utility's performance objectives. Convergence and tracking capabilities are analytically established under suitable modeling assumptions. Simulations are provided to validate the proposed approach.

引用

页码：1868 / 1881

页数：14

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