An Application of Model-based Predictive Control for Renewables-intensive Power Distribution Grids

被引：0

作者：

Dkhili, Nouha ^{[1
]}

Salas, David ^{[2
]}

Eynard, Julien ^{[1
,3
]}

Thil, Stephane ^{[1
,3
]}

Grieu, Stephane ^{[1
,3
]}

机构：

[1] CNRS, UPR 8521, Rambla Thermodynam, PROMES,Tecnosud, F-66100 Perpignan, France

[2] Univ OHiggins, Inst Ciencias Ingn, Rancagua, Chile

[3] Univ Perpignan, Via Domitia,52 Ave Paul Alduy, F-66860 Perpignan, France

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

MPC; distributed generation; flexible asset management; power distribution grids; ENERGY MANAGEMENT; MPC;

D O I：

10.1016/j.ifacol.2020.12.155

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

in recent years, growing penetration of renewable-energy-based distributed generation into power distribution grids has been compromising operational constraints. In this paper, a model-based predictive control (MPC) strategy is proposed for demand/supply balance and voltage regulation in a power distribution grid with prolific distributed generation using flexible assets (water tower and biogas plant). Then, the impact that errors of photovoltaic (PV) power generation and grid load forecasts have on its performance is examined. Results show that the proposed control scheme is efficient and resilient to forecasting errors. Copyright (C) 2020 The Authors.

引用

页码：13262 / 13268

页数：7

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