Day-Ahead Planning and Real-Time Control of Integrated PV-Storage Systems by Stochastic Optimization

被引：9

作者：

Conte, Francesco ^{[1
]}

Massucco, Stefano ^{[1
]}

Silvestro, Federico ^{[1
]}

机构：

[1] Univ Genoa, Dept Elect Elect & Telecommun Engn & Naval Archit, Via All Opera Pia 11a, I-16145 Genoa, Italy

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Renewable energy systems; solar energy; electric power systems; stochastic programming; stochastic modelling; ENERGY-STORAGE;

D O I：

10.1016/j.ifacol.2017.08.1149

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a solution for the day-ahead planning and the control of real-time operation of a large utility-scale grid-connected system composed by a photovoltaic plant (PV) integrated with a battery energy storage system (BESS). The day-head planning algorithm determines the optimal daily energy delivery profile based on a prediction of the PV power production. The objective is to maximize the power delivery, according to the request of specific profile shape constraints, which can be defined by the transmission system operator. The realtime operation algorithm dynamically regulates the BESS power exchange, in order to realize the planned power profile and satisfying operational and technical constraints. The proposed algorithms use chance-constrained stochastic optimization, which allows the day-ahead planning and the real-time operation to stochastically take into to account long-term and short-term PV power predictions, respectively. Simulations results show the effectiveness of the proposed solutions. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：7717 / 7723

页数：7

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