Optimal Operation of Isolated Microgrids Considering Frequency Constraints

Isolated microgrids must be able to perform autonomous operation without external grid support. This leads to a challenge when non-dispatchable generators are installed because power imbalances can produce frequency excursions compromising the system operation. This paper addresses the optimal opera...

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Published inApplied sciences Vol. 9; no. 2; p. 223
Main Authors Vidal Clos, Josep Andreu, Bullich Massagué, Eduard, Aragüés Peñalba, Mònica, Vinyals Canal, Guillem, Chillón Antón, Cristian, Prieto Araujo, Eduardo, Gomis Bellmunt, Oriol, Galceran Arellano, Samuel
Format Journal Article Publication
LanguageEnglish
Published Basel MDPI AG 09.01.2019
Multidisciplinary Digital Publishing Institute
Subjects
Algorithms
Distributed generation
Electric networks
Electric power grids
Energies renovables
Energy Management System
Energy storage
Enginyeria elèctrica
Frequency deviation
Frequency stability
Methods
Microgrids
Optimization
Renewable energy sources
Renewable power generation
Stability
Structural hierarchy
Studies
Systems stability
Xarxes elèctriques
Àrees temàtiques de la UPC
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Summary:Isolated microgrids must be able to perform autonomous operation without external grid support. This leads to a challenge when non-dispatchable generators are installed because power imbalances can produce frequency excursions compromising the system operation. This paper addresses the optimal operation of PV–battery–diesel-based microgrids taking into account the frequency constraints. Particularly, a new stochastic optimization method to maximize the PV generation while ensuring the grid frequency limits is proposed. The optimization problem was formulated including a minimum frequency constraint, which was obtained from a dynamic study considering maximum load and photovoltaic power variations. Once the optimization problem was formulated, three complete days were simulated to verify the proper behavior. Finally, the system was validated in a laboratory-scaled microgrid.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9020223