A Robust Optimization for Day-ahead Microgrid Dispatch Considering Uncertainties

被引：11

作者：

Borges, Nuno ^{[1
]}

Soares, Joao ^{[1
]}

Vale, Zita ^{[1
]}

机构：

[1] Polytech Porto ISE IPP, GECAD Res Grp Intelligent Engn & Comp Adv Innovat, Rua Dr Almeida 431, P-4200072 Porto, Portugal

来源：

IFAC PAPERSONLINE | 2017年 / 50卷 / 01期

关键词：

Energy Resources Management; Microgrids; Particle Swann Optimization; Robust Optimization; MANAGEMENT;

D O I：

10.1016/j.ifacol.2017.08.521

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 presents a Particle Swann Optimization (PSO) methodology to solve the problem of day-ahead microgrid (MG) dispatch with high penetration of Distributed Generation (DG) and considering uncertainties. The proposed methodology has the objective to satisfy demand aiming at obtaining the maximum profit, corresponding to the difference between the income and costs of the MG. This methodology considers the uncertainties associated with the production of electricity by the photovoltaic and wind sources. This uncertainty is modeled with the use of a robust approach in PSO. A case study is presented using a 21-bus MG from a real university campus in Portugal, and the projection of distributed energy resources based on the evolution scenario for the year 2050 managed by an aggregator. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：3350 / 3355

页数：6

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