Open AccessReal‐time energy management of a smart virtual power plant
Author(s) -
Rahimiyan Morteza,
Baringo Luis
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5637
Subject(s) - virtual power plant , smart grid , computer science , energy management , wind power , energy (signal processing) , renewable energy , energy storage , energy management system , reliability engineering , electric power system , real time computing , power (physics) , distributed generation , engineering , electrical engineering , statistics , physics , mathematics , quantum mechanics
The real‐time (RT) energy management of virtual power plants (VPPs) is a complex problem due to the coordinated operation of diverse energy resources and their associated uncertainties. This article presents a comparative analysis on alternative energy management models for a VPP that includes a wind power unit, an energy storage unit, and some flexible demands, which are interconnected within a small size electric energy system. The smart grid technology enables RT operation of the VPP by taking advantage of bidirectional communication infrastructure. To accomplish this task, the RT energy management is implemented through alternative decision‐making tools, namely, (i) a robust model, (ii) a stochastic programming model, and (iii) a stochastic robust model. To handle uncertainties, these optimisation models use prediction intervals, scenarios, and a combination of both, respectively. A realistic case study provides a comparative out‐of‐sample analysis considering the impact of the different parameters used to manage risk in these three models.