Title Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage
Authors ALVARADO BARRIOS, LÁZARO, RODRÍGUEZ DEL NOZAL, ÁLVARO, Boza Valerino, Juan, Garcia Vera, Ignacio, Martinez-Ramos, Jose L., ALVARADO BARRIOS, LÁZARO, RODRÍGUEZ DEL NOZAL, ÁLVARO
External publication No
Means Renew. Energy
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070667273&doi=10.1016%2fj.renene.2019.08.032&partnerID=40&md5=ea43338f5978a2196cff1b8a9f981977
Publication date 01/02/2020
ISI 000499762300052
Scopus Id 2-s2.0-85070667273
DOI 10.1016/j.renene.2019.08.032
Abstract A Stochastic Model for the Unit Commitment (SUC) problem of a hybrid microgrid for a short period of 24 h is presented. The microgrid considered in the problem is composed of a wind turbine (WT), a photovoltaic plant (PV), a diesel generator (DE), a microturbine (MT) and a Battery Energy Storage System (BESS). The problem is addressed in three stages. First, based on the historical data of the demanded power in the microgrid, an ARMA model is used to obtain the demand prediction. Second, the 24-h-ahead SUC problem is solved, based on generators' constraints, renewable generation and demand forecast and the statistical distribution of the error in the demand estimation. In this problem, a spinning reserve of the dispatchable units is considered, able to cover the uncertainties in the demand estimation. In the third stage, once the SUC problem has been solved, a case study is established in real time, in which the demand estimation error in every moment is known. Therefore, the objective of this stage is to select the spinning reserve of the units in an optimal way to minimize the cost in the microgrid operation. (C) 2019 Elsevier Ltd. All rights reserved.
Keywords Availability; Digital storage; Distributed power generation; Energy storage; Errors; Forecasting; Stochastic systems; Textile industry; Battery energy storage systems; Micro grid; Microgrid operations
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