DocumentCode :
72281
Title :
A Semi-Markov Model for Control of Energy Storage in Utility Grids and Microgrids With PV Generation
Author :
Barnes, Arthur K. ; Balda, Juan C. ; Escobar-Mejia, Andres
Author_Institution :
Univ. of Arkansas, Fayetteville, AR, USA
Volume :
6
Issue :
2
fYear :
2015
fDate :
Apr-15
Firstpage :
546
Lastpage :
556
Abstract :
Photovoltaic (PV) penetration levels in the power grid have significantly increased during the last years. However, issues such as cloud-induced intermittency in PV generation forces equipment on the electrical grid to cycle excessively, preventing PV generation from being considered as a reliable or dispatchable source of power, particularly by utilities. A semi-Markov process model is proposed to model PV power. Unlike existing models of PV power, the proposed model has a wide range of applicability across both small and large timescales. These applications include simulating PV power, short-term forecasting of PV power, design of rule-based controllers for energy storage units (ESU), and stochastic scheduling of ESU in conjunction with other resources. The model is applied to study two cases of coordinating ESU with PV generation. In the first case, the model serves to design a coordination scheme for a hybrid battery-ultracapacitor (UC) ESU where the UC serves to extend the lifetime of a lead-acid battery. In the second case, the model allows probabilistic scheduling in a standalone PV/diesel/battery-ESU microgrid. In both cases, the model improves performance in terms of either battery lifetime or fuel consumption.
Keywords :
Markov processes; distributed power generation; energy storage; photovoltaic power systems; power generation dispatch; power generation scheduling; power grids; ESU; PV generation; PV penetration levels; PV power short-term forecasting; cloud-induced intermittency; coordination scheme; dispatchable source; electrical grid; energy storage control; energy storage units; hybrid battery-ultracapacitor; microgrids; photovoltaic penetration levels; power grid; probabilistic scheduling; rule-based controllers; semiMarkov process model; stochastic scheduling; utility grids; Batteries; Clouds; Forecasting; Mathematical model; Microgrids; Scheduling; Coordinated control; energy storage sizing; high penetration photovoltaic (PV); microgrids; power distribution; semi-Markov process; smart grids; solar intermittency; solar radiation; statistical modeling;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2015.2393353
Filename :
7045576
Link To Document :
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