Stochastic unit commitment in microgrids based on model predictive control
conference contributionposted on 2018-08-15, 08:38 authored by Lazaro Alvarado Barrios, Juan Boza Valerino, Alvaro Rodriguez del Nozal, Juan Manuel Escano, Jose L. Martinez-Ramos, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt
This article deals with the problem of Stochastic Unit Commitment (SUC), considering the stochastic nature of demand and meteorological phenomena. This paper shows the optimal operation of a hybrid microgrid composed of the following generation units: wind turbine (WT), photovoltaic solar panel (PV), diesel engine generator (DE), micro-turbine (MT), as well as storage devices such as Battery Energy Storage (BES), considering its constraints and the requirements of the reserve generation. For this purpose, a Model-based Predictive Control (MPC), which uses dynamic models of prediction of renewable power and demand in real time, is developed, allowing feedback at each step of time, which corrects the uncertainty of the models. A comparison with a classic UC formulation has been made. The results reach a lower cost solution.
The authors would like to acknowledge the financial support of the Spanish Ministry of Economy and Competitiveness under Grants PCIN-2015-043 and ENE2015-69597-R and AEI/FEDER by grant TEC2016-80242-P.
- Mechanical, Electrical and Manufacturing Engineering
Published inSEST 2018. Smart Energy Systems and Technologies
CitationALVARADO BARRIOS, L. ... et al, 2018. Stochastic unit commitment in microgrids based on model predictive control. Presented at SEST 2018, International Conference on Smart Energy Systems and Technologies, Seville, Spain, 10-12 September 2018.
- AM (Accepted Manuscript)
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